Journal Description
Agriculture
Agriculture
is an international, scientific peer-reviewed open access journal published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, RePEc, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q2 (Plant Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 17.7 days after submission; acceptance to publication is undertaken in 2.4 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Agriculture include: Poultry, Grasses and Crops.
Impact Factor:
3.6 (2022);
5-Year Impact Factor:
3.6 (2022)
Latest Articles
Management of Rust in Wheat Using IPM Principles and Alternative Products
Agriculture 2024, 14(6), 821; https://doi.org/10.3390/agriculture14060821 (registering DOI) - 24 May 2024
Abstract
Overall, there is a major wish that European farmers implement integrated pest management (IPM), particularly to reduce dependence on pesticides. In the European Rustwatch project, partners conducted nineteen trials across nine different countries during 2020 and 2021 to investigate different IPM strategies, focusing
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Overall, there is a major wish that European farmers implement integrated pest management (IPM), particularly to reduce dependence on pesticides. In the European Rustwatch project, partners conducted nineteen trials across nine different countries during 2020 and 2021 to investigate different IPM strategies, focusing on controlling rust diseases in winter wheat. The trials included the use of varieties with contrasting levels of resistance, variety mixtures, reduced fungicide rates, thresholds, and Decision Support Systems (DSSs), and testing alternative products to fungicides. Sixteen trials developed yellow rust (Puccinia striiformis f. sp. tritici) infections, and six trials developed brown rust (Puccinia triticina) infections. Resistant varieties proved highly effective in keeping down yellow rust infection, and variety mixtures also effectively reduced infection levels and stabilized yields. Rust was fully controlled using 25% of standard fungicide rates, even under high disease pressure. Using DSSs provided sufficient control of rust diseases and resulted in competitive net economic returns due to fewer fungicide applications. The alternative products tested included two biological control agents and four alternative chemistries, which all gave inferior and insufficient control against rust compared with chemical fungicides. The trial work demonstrated that there are good and reliable options for including IPM into disease control in wheat.
Full article
(This article belongs to the Special Issue Integrated Management of Crop Diseases and Pests)
Open AccessArticle
APEIOU Integration for Enhanced YOLOV7: Achieving Efficient Plant Disease Detection
by
Yun Zhao, Chengqiang Lin, Na Wu and Xing Xu
Agriculture 2024, 14(6), 820; https://doi.org/10.3390/agriculture14060820 (registering DOI) - 24 May 2024
Abstract
Plant diseases can severely hamper plant growth and yield. Currently, these diseases often manifest diverse symptoms, characterized by small targets and high quantities. However, existing algorithms inadequately address these challenges. Therefore, this paper proposes improving plant disease detection by enhancing a YOLOV7-based model.
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Plant diseases can severely hamper plant growth and yield. Currently, these diseases often manifest diverse symptoms, characterized by small targets and high quantities. However, existing algorithms inadequately address these challenges. Therefore, this paper proposes improving plant disease detection by enhancing a YOLOV7-based model. Initially, we strengthen multi-scale feature fusion using the fourth prediction layer. Subsequently, we reduce model parameters and the computational load with the DW-ELAN structure, followed by optimizing the downsampling process using the improved SPD-MP module. Additionally, we enhance the Soft-SimAM attention mechanism to prioritize crucial feature components and suppress irrelevant information. To distinguish overlapping predicted and actual bounding box centroids, we propose the APEIOU loss function and refine the offset formula and grid matching strategy, significantly increasing positive samples. We train the improved model using transfer learning. The experimental results show significant enhancements: the mAP, F1 score, Recall, and Precision are 96.75%, 0.94, 89.69%, and 97.64%, respectively. Compared to the original YOLOV7, the improvements are 5.79%, 7.00%, 9.43%, and 3.30%. The enhanced model outperforms the original, enabling the more precise detection of plant diseases.
Full article
(This article belongs to the Section Crop Protection, Diseases, Pests and Weeds)
Open AccessArticle
MOLO-SLAM: A Semantic SLAM for Accurate Removal of Dynamic Objects in Agricultural Environments
by
Jinhong Lv, Beihuo Yao, Haijun Guo, Changlun Gao, Weibin Wu, Junlin Li, Shunli Sun and Qing Luo
Agriculture 2024, 14(6), 819; https://doi.org/10.3390/agriculture14060819 - 24 May 2024
Abstract
Visual simultaneous localization and mapping (VSLAM) is a foundational technology that enables robots to achieve fully autonomous locomotion, exploration, inspection, and more within complex environments. Its applicability also extends significantly to agricultural settings. While numerous impressive VSLAM systems have emerged, a majority of
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Visual simultaneous localization and mapping (VSLAM) is a foundational technology that enables robots to achieve fully autonomous locomotion, exploration, inspection, and more within complex environments. Its applicability also extends significantly to agricultural settings. While numerous impressive VSLAM systems have emerged, a majority of them rely on static world assumptions. This reliance constrains their use in real dynamic scenarios and leads to increased instability when applied to agricultural contexts. To address the problem of detecting and eliminating slow dynamic objects in outdoor forest and tea garden agricultural scenarios, this paper presents a dynamic VSLAM innovation called MOLO-SLAM (mask ORB label optimization SLAM). MOLO-SLAM merges the ORBSLAM2 framework with the Mask-RCNN instance segmentation network, utilizing masks and bounding boxes to enhance the accuracy and cleanliness of 3D point clouds. Additionally, we used the BundleFusion reconstruction algorithm for 3D mesh model reconstruction. By comparing our algorithm with various dynamic VSLAM algorithms on the TUM and KITTI datasets, the results demonstrate significant improvements, with enhancements of up to 97.72%, 98.51%, and 28.07% relative to the original ORBSLAM2 on the three datasets. This showcases the outstanding advantages of our algorithm.
Full article
(This article belongs to the Special Issue Advanced Image Processing in Agricultural Applications)
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Open AccessArticle
Soil Organic Carbon Dynamics in the Long-Term Field Experiments with Contrasting Crop Rotations
by
Tomáš Šimon, Mikuláš Madaras, Markéta Mayerová and Eva Kunzová
Agriculture 2024, 14(6), 818; https://doi.org/10.3390/agriculture14060818 - 24 May 2024
Abstract
Trends in soil organic carbon (SOC) were analyzed in the soils from the oldest Czech long-term field experiment, the Prague-Ruzyně Long-Term Fertilizer Experiment, conducted on Haplic Luvisol since 1955. The aim of the work was to compare the long-term dynamics of SOC in
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Trends in soil organic carbon (SOC) were analyzed in the soils from the oldest Czech long-term field experiment, the Prague-Ruzyně Long-Term Fertilizer Experiment, conducted on Haplic Luvisol since 1955. The aim of the work was to compare the long-term dynamics of SOC in contrasting crop rotations and different fertilization regimes. The trial design includes two crop rotations (CR): simple CR with two-year rotation of sugar beet and spring wheat, and multi-crop rotation (MCR) with nine crops. Four fertilization treatments were chosen for SOC analysis: unfertilized control, only mineral fertilization (NPK), farmyard manure application (FYM), as well as FYM and NPK application. SOC content was significantly affected by both fertilization and crop rotation practices. In the simple CR, both the unfertilized control and the NPK treatment exhibited a consistent decline in SOC content over the study period, with percentages decreasing from an initial 1.33% in 1955 to 1.15% and 1.14%, respectively. Although the FYM and FYM + NPK treatments showed an increase in SOC content in the 1990s, a gradual decline was recorded in the last two decades. This decrease was not observed in MCR: positive C balances were recorded in all treatments within MCR, with the largest increase in SOC stock occurring when NPK was combined with FYM. In contrast, over the last decade, C balances have decreased in simple CR for all treatments except FYM. This trend coincides with changes in the local climate, particularly rising temperatures. The results indicate that diversified crop rotations and FYM fertilization are effective in mitigating the negative impacts of changing environmental conditions on SOC stocks.
Full article
(This article belongs to the Special Issue Soil Management for Sustainable Agriculture)
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Open AccessArticle
Nitrogen Fertiliser Effects on Grain Anthocyanin and γ-Oryzanol Biosynthesis in Black Rice
by
Manisha Thapa, Lei Liu, Bronwyn J. Barkla, Tobias Kretzschmar, Suzy Y. Rogiers and Terry J. Rose
Agriculture 2024, 14(6), 817; https://doi.org/10.3390/agriculture14060817 - 24 May 2024
Abstract
Accumulation of phytochemicals in vegetative tissue under nitrogen (N) stress as an adaptive strategy has been investigated in various crops, but the effect of applied N on grain phytochemicals is poorly understood. This study investigated the effect of applied N on the biosynthesis
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Accumulation of phytochemicals in vegetative tissue under nitrogen (N) stress as an adaptive strategy has been investigated in various crops, but the effect of applied N on grain phytochemicals is poorly understood. This study investigated the effect of applied N on the biosynthesis and accumulation of rice (Oryza sativa L.) grain anthocyanin and γ-oryzanol under different ultraviolet-B (UV-B) conditions in a controlled pot trial using two distinct black rice genotypes. The response of grain anthocyanin and γ-oryzanol content to applied N was genotype-dependent but was not altered by UV-B conditions. Applied N increased grain anthocyanin and decreased γ-oryzanol content in genotype SCU212 but had no significant effect in genotype SCU254. The expression of the OsKala3 regulatory gene was significantly upregulated in response to applied N in SCU212, while the expressions of OsKala4 and OsTTG1 were unchanged. The expression of all three regulatory genes was not significantly affected in SCU254 with applied N. Key anthocyanin biosynthesis genes were upregulated in grain by N application, which indicates that the common increase in anthocyanin in vegetative tissues under N deprivation does not hold true for reproductive tissues. Hence, any future approach to target higher content of these key phytochemicals in grains should be genotype-focused.
Full article
(This article belongs to the Section Crop Production)
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Open AccessArticle
Vibration Response of Metal Plate and Shell Structure under Multi-Source Excitation with Welding and Bolt Connection
by
Zhexuan Ding, Zhong Tang, Ben Zhang and Zhao Ding
Agriculture 2024, 14(6), 816; https://doi.org/10.3390/agriculture14060816 - 24 May 2024
Abstract
There are many excitation sources and complex vibration environments in combine harvesters. The coupling and superposition of different vibration signals on the plate and shell seriously affect the working parts of the body. This also reduces the reliability of the whole machine. At
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There are many excitation sources and complex vibration environments in combine harvesters. The coupling and superposition of different vibration signals on the plate and shell seriously affect the working parts of the body. This also reduces the reliability of the whole machine. At present, domestic and foreign research on existing harvesters mainly focuses on harvesting performance, with less research on vibration characteristics. Therefore, in this paper, the vibration response of the metal plate–shell under the two connection modes of bolt connection and welding is studied, in order to optimize the design and structure of the plate–shell structure of the combine harvester and improve the overall performance. First, the welded and bolted plates are numerically modeled using Hypermesh pre-processing functions. Then, the boundary conditions are simulated by continuous variable stiffness elastic constraint experiments. Finally, the intrinsic vibration dynamic model of the four-sided simply supported plate and four-sided solidly supported plate is established using the modal superposition method. By analyzing the modal frequencies and vibration patterns, the following results are obtained. The connection method between the plate and the frame has a significant impact on the inherent vibration characteristics of the plate. The bolt connection will make the plate’s intrinsic vibration frequency higher than that of the welding method, but the effect on the plate’s intrinsic vibration pattern is more minor. At the same time, in order to verify the accuracy of the model, the actual modal vibration patterns and frequencies of the same proportion of plates in the modal test are compared with the results of modal vibration patterns and frequencies obtained by Ansys. The errors of the two dynamic model analytical methods are within 1% and 3%, respectively. This result verifies the accuracy of the dynamic model of the metal plate and shell structure under different connection methods.
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(This article belongs to the Section Agricultural Technology)
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Open AccessArticle
Damping Optimization Method of Combine Harvester Frame Undergoing Multi-Source Excitation
by
Bangzhui Wang, Shuren Chen, Guoqiang Wang, Zhong Tang and Hantao Ding
Agriculture 2024, 14(6), 815; https://doi.org/10.3390/agriculture14060815 - 23 May 2024
Abstract
The complex mechanical system of a rice combine harvester not only has various excitation sources, but also, the vibration transmission path between each working device and the vibration contribution characteristics to the frame are not clear, so it is difficult to perform a
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The complex mechanical system of a rice combine harvester not only has various excitation sources, but also, the vibration transmission path between each working device and the vibration contribution characteristics to the frame are not clear, so it is difficult to perform a reduction vibration design for the sharp vibration of the rice combine harvester frame. Therefore, based on the comparison and improvement of multiple classical transfer path analysis methods, this paper analyzed the vibration transfer characteristics and transfer characteristics of each harvester by the discrete time matrix method and operating path method. In the Experimental section, through the vibration characteristic experiment firstly, this paper obtained the power spectrum variation and the most needed optimized path in the transmission path of each device under each operating condition. Secondly, through frame simulation analysis under the exciting force, we obtained the vibration damping areas that needs to be optimized. Finally, the damping optimization experiment connected with the vibration characteristic experiment, and the excitation force simulation analysis was performed. The results of the damping optimization experiment displayed that the maximum change value of the vibration acceleration of the cutting table decreased from 7.862 m·s−2 to 3.522 m·s−2, decreasing by 55.2%, and the peak amplitude of the multipoint test in the cab was 5.4, 5.3, 1.7 and 2.0 μm, respectively, which was significantly reduced, so the optimization effect was significant. This study provides theoretical support for the vibration reduction optimization of a rice combine harvester frame.
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(This article belongs to the Section Agricultural Technology)
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Open AccessArticle
Economic Implications of Government Flood Control Policy: A Case of Rice in Japan
by
Shinichi Kurihara, Yuki Yano and Atsushi Maruyama
Agriculture 2024, 14(6), 814; https://doi.org/10.3390/agriculture14060814 - 23 May 2024
Abstract
Japan’s susceptibility to and severity of floods have necessitated flood control policies by the government. “Overflowing flood control”, in which the floods due to torrential rains are systematically diverted to agricultural lands in the upper to middle reaches, is one of them. More
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Japan’s susceptibility to and severity of floods have necessitated flood control policies by the government. “Overflowing flood control”, in which the floods due to torrential rains are systematically diverted to agricultural lands in the upper to middle reaches, is one of them. More information is needed on the public assessment of the overflowing flood control policy, and this research seeks to bridge this gap. Data evaluating rice affected by the policy were collected from a random nth-price auction using a developed online system. The sample consisted of 47 consumers living in the downstream areas of the Edogawa River, one of Japan’s first-class, or prime, rivers. Data on their attitudes toward the policy were collected with a questionnaire. Multiple ordered probit models are used for regression analysis. The results show that the sample respondents were willing to pay an average of JPY 1578 for 5 kg of rice, slightly higher than the national average rice production cost, and that 36% of the sample agreed with the flood control policy, which is positively associated with large families or owning many assets.
Full article
(This article belongs to the Special Issue Agricultural Economics of Climate-Smart Practices)
Open AccessArticle
Research on a Low-Cost High-Precision Positioning System for Orchard Mowers
by
Ke Fei, Chaodong Mai, Runpeng Jiang, Ye Zeng, Zhe Ma, Jiamin Cai and Jun Li
Agriculture 2024, 14(6), 813; https://doi.org/10.3390/agriculture14060813 - 23 May 2024
Abstract
To regulate the energy flow in orchard ecosystems and maintain the environment, weeding has become a necessary measure for fruit farmers, and the use of automated mowers can help reduce labor costs and improve the economic efficiency of orchards. However, due to the
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To regulate the energy flow in orchard ecosystems and maintain the environment, weeding has become a necessary measure for fruit farmers, and the use of automated mowers can help reduce labor costs and improve the economic efficiency of orchards. However, due to the complexity of the geographic and spatial environment of the orchard, in particular, the loose and undulating road surface, the interference of satellite signals by large trees, etc., which decreases the positioning accuracy and stability of the positioning system of the mower, and the high cost of the sensor also affect the popularization of intelligent mowers for these applications. To address the above problems, this paper constructs a positioning system through a low-cost global navigation satellite system (GNSS), inertial measurement unit (IMU), and odometry, and utilizes the Kalman filter algorithm based on the error state for a combined GNSS/IMU positioning so that the inertial navigation system can maintain a more accurate positioning when the GNSS signals are poor. Considering the side-slip and error accumulation problems of the odometry of the traction mower, the combined GNSS/IMU positioning information is used to optimize the odometry model and improve the navigation and positioning accuracy. To reduce the measurement error of the IMU and the problem of error accumulation, this paper utilizes the nonholonomic constraint (NHC) of a lawn mower to suppress the dispersion of IMU measurement errors and constructs periodic and nonperiodic zero-velocity updating (ZUPT) strategies in combination with the travel paths of lawn mower navigation operations in the region to update the IMU data to improve the positioning accuracy and stability of the positioning system. The experiments show that the average error of the constructed positioning system is controlled within 0.15 m, the maximum error is maintained at approximately 0.3 m, and the positioning system constructed by using low-cost sensors can achieve a positioning accuracy similar to that of the differential global navigation satellite system (DGNSS), which is beneficial for the promotion and application of intelligent mowers in orchards.
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(This article belongs to the Section Digital Agriculture)
Open AccessArticle
Evidence of Allelopathy among Selected Moss Species with Lettuce and Radish
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Nikolina A. Matić, Marija V. Ćosić, Djordje P. Božović, Silvia Poponessi, Sara D. Pavkov, Michal Goga, Milorad M. Vujičić, Aneta D. Sabovljević and Marko S. Sabovljević
Agriculture 2024, 14(6), 812; https://doi.org/10.3390/agriculture14060812 - 23 May 2024
Abstract
There is limited evidence on bryophyte-tracheophyte allelopathic interactions. Even less is known about such relationships among commercially important plants and mosses. With the aim of screening such interactions, various extract concentrations of nine different mosses were tested on the seed germination and seedlings,
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There is limited evidence on bryophyte-tracheophyte allelopathic interactions. Even less is known about such relationships among commercially important plants and mosses. With the aim of screening such interactions, various extract concentrations of nine different mosses were tested on the seed germination and seedlings, i.e., hypocotyl elongation and total chlorophyll content of lettuce and radish. The allelopathic effects are documented to be pairwise (moss-vegetable) and species-specific. Based on the results, the extracts of Leucodon sciuroides and Dicranum polysetum are not harmful to lettuce and radish. Lower extract concentrations of Leucodon sciuroides and Ctenidium molluscum have a positive effect on lettuce development, while those of Thuidium delicatulum, Ctenidium molluscum, and Dicranum polysetum showed to be effective on radish. Further, negative effects were noticed when applying higher extract concentration of Abietinella abietina, Isothecium alopecuroides, Dicranum polysetum, and Racomitrium elongatum to lettuce and Isothecium alopecuroides to radish. The dataset presented in this study offers numerous possibilities for further target pest/vegetable type applications since some of the moss extracts are shown to be positive, negative, or indifferent to the tested features in lettuce and radish.
Full article
(This article belongs to the Section Crop Production)
Open AccessArticle
Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network
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Fan Yang, Lei Liu, Yanan Zhang, Yuefeng Du, Enrong Mao, Zhongxiang Zhu and Zhen Li
Agriculture 2024, 14(6), 811; https://doi.org/10.3390/agriculture14060811 - 23 May 2024
Abstract
In view of the typical requirements of large high-clearance sprayers, such as those operating in poor road conditions for farmland plant protection and at high operation speeds, reducing the vibration of sprayer suspension systems has become a research hotspot. In this study, the
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In view of the typical requirements of large high-clearance sprayers, such as those operating in poor road conditions for farmland plant protection and at high operation speeds, reducing the vibration of sprayer suspension systems has become a research hotspot. In this study, the hydro-pneumatic suspension (HPS) of large high-clearance sprayers was taken as the object, and a variable universe T-S fuzzy controller with real vehicle vibration data as input was proposed to control suspension motion in real time. Different from traditional semi-active suspension, based on the characteristics of variable universe extension factors, a training method combining the artificial fish swarm algorithm and the back propagation algorithm was used to establish a fuzzy neural network controller with precise input to optimize the variable universe. Then, the time-domain and frequency-domain response characteristics of HPS were analyzed by simulating the special road conditions typical of farmland. Finally, the field performance of the sprayer equipped with the new controller was tested. The results show that the error rate of the AFSA-BP algorithm in training the FNN could be reduced to 3.9%, and compared with a passive suspension system, the T-S fuzzy controller improved the effects of spring mass acceleration, pitch angle acceleration, and roll angle acceleration by 18.3%, 23.3%, and 27.7%, respectively, verifying the effectiveness and engineering practicality of the active controller in this study.
Full article
(This article belongs to the Special Issue From Planting to Harvesting: The Role of Agricultural Machinery in Crop Cultivation)
Open AccessArticle
Perceived Benefit, Policy Incentive and Farmers’ Organic Fertilizer Application in Protected Areas
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Jie Yang, Kaiwen Su, Ziyi Zhang, Sihan Guo, Yilei Hou and Yali Wen
Agriculture 2024, 14(6), 810; https://doi.org/10.3390/agriculture14060810 - 23 May 2024
Abstract
The green production behaviors of farmers in protected areas (PAs) can reduce environmental disturbances and contribute to the effectiveness of PAs. Based on a survey of 708 farmers in Wuyishan National Park (WNP) and Crested Ibis Nature Reserve (CINR), we studied the influence
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The green production behaviors of farmers in protected areas (PAs) can reduce environmental disturbances and contribute to the effectiveness of PAs. Based on a survey of 708 farmers in Wuyishan National Park (WNP) and Crested Ibis Nature Reserve (CINR), we studied the influence of perceived benefit and policy incentive on farmers’ organic fertilizer application. Results: (1) Perceived benefit, subsidies policy, and propaganda policy significantly promoted farmers’ organic fertilizer application, with perceived benefit having the strongest effect, followed by subsidies policy. The influence of restriction policy was not significant. (2) Perceived benefit, subsidies policy, and propaganda policy indirectly influenced organic fertilizer application through ecological awareness. (3) In WNP, perceived benefit had the strongest effect on organic fertilizer application, and subsidies policy significantly enhanced farmers’ ecological awareness and influenced their behaviors. In contrast, subsidies policy had the strongest effect on organic fertilizer application, but did not significantly enhance farmers’ ecological awareness in CINR. These results offer valuable insights for promoting green production behaviors of farmers in PAs. This study implies that there must be a pathway for the realization of ecological value in ecological protection. Ecological value realization is the endogenous motivation for farmers’ sustainable green production behaviors. However, government subsidies and guidance are also essential in the early stage.
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(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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Enhancing Broiler Weight Estimation through Gaussian Kernel Density Estimation Modeling
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Yumi Oh, Peng Lyu, Sunwoo Ko, Jeongik Min and Juwhan Song
Agriculture 2024, 14(6), 809; https://doi.org/10.3390/agriculture14060809 - 23 May 2024
Abstract
The management of individual weights in broiler farming is not only crucial for increasing farm income but also directly linked to the revenue growth of integrated broiler companies, necessitating prompt resolution. This paper proposes a model to estimate daily average broiler weights using
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The management of individual weights in broiler farming is not only crucial for increasing farm income but also directly linked to the revenue growth of integrated broiler companies, necessitating prompt resolution. This paper proposes a model to estimate daily average broiler weights using time and weight data collected through scales. In the proposed model, a method of self-adjusting weights in the bandwidth calculation formula is employed, and the daily average weight representative value is estimated using KDE. The focus of this study is to contribute to the individual weight management of broilers by intensively researching daily fluctuations in average broiler weight. To address this, weight and time data are collected and preprocessed through scales. The Gaussian kernel density estimation model proposed in this paper aims to estimate the representative value of the daily average weight of a single broiler using statistical estimation methods, allowing for self-adjustment of bandwidth values. When applied to the dataset collected through scales, the proposed Gaussian kernel density estimation model with self-adjustable bandwidth values confirmed that the estimated daily weight did not deviate beyond the error range of ±50 g compared with the actual measured values. The next step of this study is to systematically understand the impact of the broiler environment on weight for sustainable management strategies for broiler demand, derive optimal rearing conditions for each farm by combining location and weight data, and develop a model for predicting daily average weight values. The ultimate goal is to develop an artificial intelligence model suitable for weight management systems by utilizing the estimated daily average weight of a single broiler even in the presence of error data collected from multiple weight measurements, enabling more efficient automatic measurement of broiler weight and supporting both farms and broiler demand.
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(This article belongs to the Section Farm Animal Production)
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Insight into the Biostimulant Effect of an Aqueous Duckweed Extract on Tomato Plants
by
Dario Priolo, Ciro Tolisano, Monica Brienza and Daniele Del Buono
Agriculture 2024, 14(6), 808; https://doi.org/10.3390/agriculture14060808 - 23 May 2024
Abstract
Agricultural systems must improve their sustainability and productivity to meet the growing global demand for food. A cost-effective and sustainable way is the development of biostimulants from plants rich in bioactive compounds. This study aimed to test an aqueous extract from Lemna minor
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Agricultural systems must improve their sustainability and productivity to meet the growing global demand for food. A cost-effective and sustainable way is the development of biostimulants from plants rich in bioactive compounds. This study aimed to test an aqueous extract from Lemna minor L. (duckweed) on tomato plants at different concentrations (LE—0.1, 0.5 and 1.0%—weight/volume, w/v). Photosystem I and II activity, linear electron flow (LEF), electrochemical gradient across the thylakoid membrane (ECSt), shoot biomass production, root phenotyping, pigment and metabolite content were studied. LE improved many of these traits, with LE 0.5% being the most effective dosage. Compared to the untreated samples, LE significantly stimulated photosystems to use light energy while reducing the amount lost as heat (PhiNPQ and NPQt) or potentially toxic to chloroplasts (PhiNO). These results were supported by the improved shoot biomass production (number of leaves and fresh and dry weight) and root traits (number of tips, surface, volume and fresh and dry weight) found for LE-treated samples compared to untreated controls. Finally, the study highlighted that LE increased pigment and flavonoid contents. In conclusion, the research indicates that this species can be an effective and eco-friendly tool to stimulate beneficial responses in tomato.
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(This article belongs to the Special Issue Abiotic Stresses, Biostimulant and Plant Activity—Series II)
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Recyclable Rubber Flooring in Farrowing Crates and Its Influence on the Development and Welfare of Piglets in the Maternity Phase
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Beatriz de Oliveira Possagnolo, Isabella Cardoso Ferreira da Silva Condotta, Magno do Nascimento Amorim, Érik dos Santos Harada, Sônia Maria de Stefano Piedade, Daniele Aparecida Mendonça Cipriano and Késia Oliveira da Silva-Miranda
Agriculture 2024, 14(6), 807; https://doi.org/10.3390/agriculture14060807 - 23 May 2024
Abstract
To boost productivity in pig production, it is essential to improve the litter size per sow. However, achieving this goal requires reducing newborn mortality rates and increasing their weight gain. In this regard, prioritizing animal welfare and adopting practices that promote sustainability in
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To boost productivity in pig production, it is essential to improve the litter size per sow. However, achieving this goal requires reducing newborn mortality rates and increasing their weight gain. In this regard, prioritizing animal welfare and adopting practices that promote sustainability in the activity is crucial. The study aimed to evaluate the sustainable flooring coverage of farrowing crates, considering piglet adaptation, thermal comfort, animal development, and increased productivity. Three types of flooring treatments were defined: T1—wood shavings; T2—solid rubber mat; T3—perforated rubber mat, for 12 litters (±50 animals/treatment). Behavior, physiology, piglet production indices, and facility microclimate were assessed. The facility’s microclimate indicated the possibility of cold stress. There was a greater preference for the mat treatments among the animals, as they remained on them for longer periods and showed increased activity in the farrowing crates. The presence of mats resulted in lower mortality due to crushing, positively contributing to production. These findings suggest the potential of using recyclable rubber mats in pig production and encourage the exploration of new designs and installation locations.
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(This article belongs to the Topic Livestock and Microplastics)
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Sustainable Livestock Production: Screening Analysis and Pilot Implementation of a Biofilm in Piggery Biofilters for Mitigation of Ammonia and Hydrogen Sulfide Emissions
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Barbara Breza-Boruta, Piotr Kanarek, Zbigniew Paluszak, Anna-Karina Kaczorowska and Grzegorz Gryń
Agriculture 2024, 14(6), 806; https://doi.org/10.3390/agriculture14060806 - 23 May 2024
Abstract
One of the most noticeable problems associated with the close location of piggeries is gaseous compounds emission. Ammonia and hydrogen sulfide emissions affect the quality of life of people living in the vicinity of such facilities. Among the diverse methods for managing and
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One of the most noticeable problems associated with the close location of piggeries is gaseous compounds emission. Ammonia and hydrogen sulfide emissions affect the quality of life of people living in the vicinity of such facilities. Among the diverse methods for managing and controlling malodorous substances, biological methods, which involve the utilization of microbiological agents, are widely employed. The use of bacterial strains is a relatively simple, low-cost, and ecological method. The study aimed to conduct a preliminary evaluation of the implementation of a novel consortium of deodorizing bacteria. The study involved the selection of bacteria, assessment of the antagonistic properties, implementation of the inoculum in a mesh-filled biofilter, and analysis of ammonia, hydrogen sulfide, and fine dust content in the air before and after passing through the mature biological bed. The results obtained demonstrate the effectiveness of the biofiltration bed in reducing ammonia levels, with a maximum decrease observed at 73.90%. For hydrogen sulfide, a removal efficiency of >72.08% was observed. Reduction in fine dust pollution also decreased from a level of 3.75 mg/m3 to 1.06 mg/m3. The study’s findings demonstrate the promising potential of utilizing a consortium of deodorizing bacteria as an effective approach to mitigating emissions from piggeries.
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(This article belongs to the Section Farm Animal Production)
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A Hive Entrance System That Directs Honey Bees Inside or Outside a Greenhouse Reduced Colony Decline While Effectively Pollinating Zucchini Squash
by
Cássia R. A. Gomes, Mateus A. M. Batista, Yara M. M. Ferraz, Matheus F. Trivellato, Gustavo A. Siniscalchi, Gustavo V. Polycarpo, Everlon C. Rigobelo, David De Jong and Daniel Nicodemo
Agriculture 2024, 14(6), 805; https://doi.org/10.3390/agriculture14060805 - 23 May 2024
Abstract
Honey bee colonies rapidly decline when confined to greenhouses, increasing pollination rental costs as they need to be replaced frequently. We tested a hive system with entrances that can be manipulated to direct bees inside or outside greenhouses containing a zucchini crop. In
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Honey bee colonies rapidly decline when confined to greenhouses, increasing pollination rental costs as they need to be replaced frequently. We tested a hive system with entrances that can be manipulated to direct bees inside or outside greenhouses containing a zucchini crop. In one greenhouse, the bees could only forage inside for 15 days; in another, bees were directed to the inside from 5 to 9 a.m., after which they only foraged outside. This procedure was repeated two more times in each greenhouse with new hives. Data were collected on how the number of bee flower visits affected fruit production, the frequency of flower visits, and the amount of bee brood and food in the hives. Flowers visited by bees four times or more set more and larger fruit. The frequency of flower visits by bees from the hives confined to the greenhouse was reduced after eight days; it was not reduced in the greenhouse with bees that could forage outside. The bee brood area was reduced in the colonies that were confined to the greenhouse, while it was maintained in the semi-confined hives. The hives with controllable entrances proved effective for pollination, while causing less damage to the bees.
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(This article belongs to the Special Issue Bees as a Tool for Agricultural Production)
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Evaluation of Heavy Metal Contamination and Associated Human Health Risk in Soils around a Battery Industrial Zone in Henan Province, Central China
by
Jingjing Zhang, Qiujuan Jiao, Yong Wu, Haitao Liu, Peiyi Yu, Deyuan Liu, Dangling Hua and Jia Song
Agriculture 2024, 14(6), 804; https://doi.org/10.3390/agriculture14060804 - 23 May 2024
Abstract
This research investigated the contamination characteristics, sources, and health risks of five metals in soils from two villages named DK and SXC, downstream from a battery industry hub in Xinxiang city, Henan Province, China. The average concentrations of Cd, Pb, Ni, Cu, and
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This research investigated the contamination characteristics, sources, and health risks of five metals in soils from two villages named DK and SXC, downstream from a battery industry hub in Xinxiang city, Henan Province, China. The average concentrations of Cd, Pb, Ni, Cu, and Zn in DK were 5.93, 41.31, 71.40, 62.20, and 115.83 mg/kg, respectively, and in SXC were 2.04, 30.41, 41.22, 36.18, and 96.04 mg/kg, respectively. The single factor pollution index (Pi) revealed a consistent descending order of Cd > Cu > Zn > Ni > Pb in DK and SXC. The geo-accumulation index (Igeo) indicated that the Cd pollution in DK was extreme, and in SXC was at a heavy to extreme level. The potential ecological risk index (PERI) indicated that Cd presented a significantly high ecological risk while it was low for other metals. Principal component analysis classified them into the anthropogenic origin of Cd and common mixed origin of others. The elevated levels and pollution load of heavy metals with closer proximity to the battery factory imply that the factory is a probable source of contamination. Overall, the health risks posed by heavy metals were more pronounced for local children compared to adults, with Cd being the primary contributor to both pollution and health risks. This investigation provides a crucial basis for the heavy metal pollution management and related risk prevention in areas affected by electronic waste irrigation.
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(This article belongs to the Section Agricultural Soils)
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A Study on the Effect Mechanism of Pectin Modification on the Carrot Cell Wall’s Texture Formation under Ultrasonic and Infrared Drying
by
Kun Gao, Bin Liu, Bengang Wu, Yiting Guo, Chenyu Song, Shenao Nan, Junjun Dai, Yan Shen and Haile Ma
Agriculture 2024, 14(6), 803; https://doi.org/10.3390/agriculture14060803 - 22 May 2024
Abstract
Abstract: The carrot has a high water content, and dehydration is an important means to extend its edible period and reduce storage and transportation costs. In the case of infrared (IR) drying, the porosity of the product is low and the structure is
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Abstract: The carrot has a high water content, and dehydration is an important means to extend its edible period and reduce storage and transportation costs. In the case of infrared (IR) drying, the porosity of the product is low and the structure is compact; the textural properties of the product are improved by using combined ultrasound and infrared (US-IR) drying; however, there is a lack of reports on the mechanism of this. Pectin has an important influence on the formation of the textural properties of fruit and vegetable tissues. In order to investigate the mechanism of the change in endogenous pectin properties in the carrot cell wall under US-IR drying on the improvement of the textural properties of the product, different fractions of pectins (water-soluble pectin, chelating pectin, alkali-soluble pectin) of the carrot were extracted, separated, and analysed. The thermal stability, component and content changes, Fourier infrared (FTIR), X-ray diffraction (XRD), esterification degree, molecular weight, monosaccharide composition, Ca ion content, and atomic force microscopy (AFM) of the pectins were determined. The results showed that the changes in the contents and properties of the carrot pectins under US-IR conditions had a positive effect on the improvement of the textural properties of the carrot tissues.
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(This article belongs to the Special Issue Agricultural Products Processing and Quality Detection)
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Amino Acid Changes during Maturation in Solanum Fruit
by
Jūratė Staveckienė, Brigita Medveckienė, Viktorija Vaštakaitė-Kairienė, Jurgita Kulaitienė and Elvyra Jarienė
Agriculture 2024, 14(6), 802; https://doi.org/10.3390/agriculture14060802 - 22 May 2024
Abstract
The goal of this study is to assess the impacts of ripening stage of four Solanum fruit species: (Solanum melanocerasum, Solanum nigrum, Solanum villosum, and Solanum retroflexum) on the content of amino acids and protein. Our objective is
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The goal of this study is to assess the impacts of ripening stage of four Solanum fruit species: (Solanum melanocerasum, Solanum nigrum, Solanum villosum, and Solanum retroflexum) on the content of amino acids and protein. Our objective is to enhance comprehension of the maturity process, with a particular focus on Solanum fruits, in order to determine the most advantageous time for harvesting. Amino acids play a crucial role in human nutrition by serving as building blocks for various primary and secondary metabolites. They are either a source of nutraceutical substances or important dietary components. The studied Solanum fruit’s amino acid profiles were found essential and nonessential amino acids. Our findings showed that dominant amino acids were nonessential amino acids. Depending on the ripening stage, the nonessential amino acid content of the Solanum melanocerasum fruits varied from 8.22 to 9.25 g 100 g−1, Solanum villosum from 5.34 to 6.60 g 100 g−1, Solanum nigrum from 6.12 to 8.73 g 100 g−1, and Solanum retroflexum from 8.27 to 9.75 g 100 g−1. A differentiated level of total protein is found in Solanum fruits at different ripening stages. The interval was from 10.62 to 28.06 g 100 g−1 depending on species or ripening stages.
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(This article belongs to the Section Agricultural Product Quality and Safety)
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