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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Keywords: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Plants show different strategies for coping with stress factors. They develop various types of adaptations to avoid the stressor or to activate defense reactions consisting of damage repair and running alternative metabolic pathways. This Special Issue, “What Makes the Life of Stressed Plants a Little Easier? Defense Mechanisms against Adverse Conditions”, contains several original articles that deal with such changes that occur at the level of the transcriptome, proteome, and metabolome, as well as structural adaptations in response to a stress factor. It also provides four review articles on drought stress, metal stress, various abiotic stress responses of cultivated beet, and crosstalk between Ca2+ and other regulators in stress signaling.
    Keywords: water deficit ; cold stress ; water content ; photosynthesis ; anatomy ; secondary metabolites ; antioxidants ; bioaccumulation ; copper toxicity ; hydroponics ; translocation factor ; F-box protein ; SCF complex ; stress response ; WD40 repeat-like protein ; wheat ; peroxidase ; ascorbate peroxidase ; catalase ; yield index ; Brachypodium distachyon ; cold acclimation ; microbiome ; amplicon and shotgun sequencing ; metagenomics ; Pseudomonas ; Streptomyces ; beet cultivation ; abiotic stress ; alkaline ; cold ; heat ; heavy metals ; stress tolerance ; ultraviolet radiation ; acidic soils ; abiotic stress tolerance ; proteomic studies ; two dimensional electrophoresis (2-DE) ; × Triticosecale Wittmack ; auxin-related compound ; Bryophyllum calycinum ; indole-3-acetic acid ; methyl jasmonate ; plant hormone dynamics ; secondary abscission ; PERK ; kinase ; RT-qPCR ; promoter ; drought ; heat stress ; Ca2+ ; abiotic stress response ; Ca2+ sensors ; signal transduction ; abiotic stress tolerance calcium ; abscisic acid ; chloroplast degeneration ; malondialdehyde ; nanoparticles ; oxidative stress ; drought stress ; osmolytes ; antioxidant enzymes ; phytohormones ; antifungal secondary metabolites ; biocontrol ; abnormal germ tube suppression of appressoria ; Streptomyces sp. ; adaptation ; priming ; defense mechanisms ; metallophyte ; phytoremediation ; tolerance ; Armeria maritima ; electrical conductivity ; functional differences ; ion accumulation ; non-ionic osmolytes ; osmotic adjustment ; potassium ; salinity ; sodium ; tissue culture ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The protection and maintenance of environmental resources for future generations require responsible interaction between humans and the environment in order to avoid wasting natural resources. According to an ancient Native American proverb, “We do not inherit the Earth from our ancestors; we borrow it from our children.” This indigenous wisdom has the potential to play a significant role in defining environmental sustainability. Recent technological advances could sustain humankind and allow for comfortable living. However, not all of these advancements have the potential to protect the environment for future generations. Developing societies and maintaining the sustainability of the ecosystem require appropriate wisdom, technology, and management collaboration. This book is a collection of 19 important articles (15 research articles, 3 review papers, and 1 editorial) that were published in the Special Issue of the journal Sustainability entitled “Appropriate Wisdom, Technology, and Management toward Environmental Sustainability for Development” during 2021-2022.addresses the policymakers and decision-makers who are willing to develop societies that practice environmental sustainability, by collecting the most recent contributions on the appropriate wisdom, technology, and management regarding the different aspects of a community that can retain environmental sustainability.
    Keywords: metals ; arsenic ; pollution ; Mexico ; developing countries ; landfill ; urban solid waste ; disposal ; waste management ; sustainable development goals ; ethnobotany ; human health ; poverty ; traditional knowledge ; sustainable agriculture ; wheat ; seed rate ; yield effect ; dose–response ; seed recycling ; cost–benefit analysis ; blockchain ; SDGs ; innovation ; COVID-19 ; green recovery ; scorecard ; construction sector ; economy ; intersectoral linkages ; VECM ; forecasting ; sustainable development ; eco-friendly sound-absorbing material ; corrugated cardboard ; perforated corrugated cardboard ; sound-absorption coefficient ; sound transmission loss ; transfer function method ; transfer matrix method ; multi-frequency resonator ; self-compacting concrete ; crumb rubber ; strength ; silica fume ; response surface methodology ; biodiesel ; engine performance ; emissions ; natural feedstocks ; production method ; ethical marketing ; extended marketing mix ; consumer brand relationships ; brand loyalty ; sustainability ; rice husk ; power plants ; CO2 ; emission reductions ; Clean Development Mechanism ; rural clean heating project ; rural Gansu ; potential solutions ; benchmarking ; fisheries ; aquaculture ; food security ; Bangladesh ; humanitarian logistics ; pandemic ; economic reactivation ; spatial modelling ; sustainable construction ; construction waste reduction ; modelling of waste (reduce, reuse and recycle) ; PLS-SEM ; industry 4.0 ; circular economy ; environmental regulations ; manufacturing supply chains ; Internet of Things (IoT) ; groundwater level ; groundwater resource ; groundwater management models ; groundwater monitoring system ; wireless sensor network ; MENA Islamic cities ; urban management ; sustainable built environment ; supplier selection ; product life cycle cost ; geometric mean weighting ; penalty weighting ; multiobjective linear programming ; revised multichoice goal programming ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Foods derived from grains and grain-based ingredients represent a crucial source of energy and nutrients for humans. Cereals are conventional food materials, while interest is growing in the utilization of pseudocereals, pulses, oilseeds, and other grains to develop various foods and food ingredients. Grain and food processing converts raw grains into functional ingredients and creates palatable and nutritious end-products. During processing, various physical and chemical changes and interactions take place, affecting the nutritional, textural, sensory, and other quality properties of the products. Methods, protocols, and equipment have been developed to process, monitor, and control processing parameters to achieve the desired end-product quality or functionality. This reprint covers diverse topics related to grain-processing innovations and the effect of both conventional and innovative grain processes on the properties of grain-derived ingredients, intermediates, and end products.
    Keywords: climate change ; heat resource effectiveness ; hourly accumulated temperature simulation ; rice potential yield ; whole foxtail millet flour ; amylose content ; japonica and glutinous ; Chinese steamed bread ; texture properties ; northern cold area ; maize seeds ; physical characteristics ; principal component analysis ; cluster comprehensive analysis ; wheat ; flour ; dough ; mixing ; hydrophobic interaction ; aggregation ; corn ; hammermill ; moisture content ; particle size ; gaseous chlorine dioxide ; buckwheat-based composited flour ; fresh buckwheat noodle ; shelf-life and quality characteristics ; whole grain bread ; pulse ; yellow pea ; green pea ; lentil ; chickpea ; Mixolab ; dough rheology ; bread texture ; ayocote bean ; black bean ; bread ; protein digestibility ; sensorial properties ; pulses ; red lentils ; protein ; roller milling ; near infrared spectroscopy ; sorghum ; starch ; amylose ; amylopectin ; high throughput phenotyping ; genetic diversity ; plant breeding ; granular flow ; particulate flow ; extrusion ; food powders ; powder rheology ; composition ; sugar ; purple-colored wheat ; wheat bran ; blending ratio ; fresh noodles ; antioxidant properties ; alternative sweeteners ; sucrose ; cookies ; baking ; sugar reduction ; kabuli ; milling ; de-hull ; roller mill ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Keywords: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue presents an extract from the reality of smart agriculture, where the combination of modern technologies, innovative solutions, and sustainable approaches to food production classifies this part of science as highly interdisciplinary, multifaceted, and technologically advanced. The need to increase productivity, optimize natural resources, and minimize environmental impact requires new approaches. In this context, smart agriculture is emerging as a solution that combines technology, data, and science to achieve sustainable, efficient, and innovative food production. This Special Issue introduces the field of smart farming, which encompasses a range of advanced technologies. The use of these tools allows for the monitoring and optimization of crop conditions, precise fertilization, the minimization of water and energy usage, and the improvement of crop quality and quantity. In addition, plant monitoring systems are described, which, by means of sensors and data analysis, provide farmers with valuable information about plant health, soil moisture, temperature, and other factors affecting crop growth. A significant part of this monograph deals with the automation of agricultural processes, where robots and machines undertake tasks with high precision and accuracy, contributing to the farmer’s efficiency. This Special Issue aims not only to provide an understanding of smart agriculture but to also inspire the reader to think about the future of agriculture and the ways in which modern food production methods can be improved.
    Keywords: recirculating aquaculture system ; variable-flow regulation model ; circulating pump-drum filter linkage working technique ; machine learning methods ; gene algorithm support vector machine ; controlled environment agriculture ; digital twin ; productivity ; architecture ; optimization ; NDVI ; image processing ; SURF ; SIFT ; SVM ; BP algorithm ; performance ; sweet pepper ; deep neural network ; sprouts ; stimulation with a pulsed magnetic field ; micro and macro components ; ICP-OES ; ground pressure ; paddy soil ; seeding skateboard ; internet of things ; wireless measurement system ; calcium ; magnesium ; phosphorus ; potassium ; copper ; iron ; manganese ; sodium ; zinc ; wild leafy vegetables ; real-time kinematic (RTK) ; precision agriculture ; ISO standard ; global positioning system (GPS) ; GLONASS ; agricultural tractor ; Korean ginseng ; root-rot-disease ; plant segmentation ; deep learning ; Spodoptera frugiperda ; convolutional neural network ; corn insect ; electrical fields ; magnetic fields ; high-voltage electric field ; growth of fruits ; ripening of fruits ; shelf life of fruits ; fungicide resistance ; PCR ; broad-spectrum fungicides ; Fusarium solani ; toxicity ; asymmetric machine-tractor unit ; motion ; stability ; resistance coefficients ; amplitude-frequency characteristic ; phase-frequency characteristic ; quality parameters ; firmness ; total soluble solid ; titratable acidity ; dry matter ; respiration rate ; apple fruit ; model predictive control ; energy management system ; renewable energy ; smart irrigation ; agriculture 4.0 ; maize bulk ; kernel breakage ; vertical pressure ; deformation ; heat production ; sustainable ; agriculture ; rural ; mobile internet technology ; bivariate probit model ; agricultural modernization ; Pakistan ; wheat ; smart ; Zea mays ; stalk diseases ; crop rotation ; stubble ; suppressive soils ; biomass combustion ; broadleaved tree ; pulsed electric field ; calorific value ; UV-C radiation ; stress response ; mechanical properties ; stimulation ; potato tuber ; CFD (Computational Fluid Dynamics) ; terminal velocity ; winnowing machine separation ; chili pepper harvester ; water and fertilizer integration ; pH adjustment ; BP-PID-Smith algorithm ; estimated compensation ; convolutional neural networks ; MATLAB ; hybrid system ; mobile application ; aeration ; airflow resistance ; pore volume ; semi-empirical modelling ; self-compaction ; spatial and temporal ; energy ; environmental contamination ; lettuce ; life cycle assessment ; winter wheat ; leaf greenness index (SPAD) ; protein ; photosynthesis ; nitrogen ; smart agriculture ; weed management ; crop productivity ; computer vision ; analytical procedure ; forklift truck ; interchangeable equipment ; static stability assessment ; typical meteorological sequence ; typical meteorological week ; wastewater treatment ; high-rate algae pond ; solar irradiance ; Finkelstein-Schafer statistics ; southern rice ; threshing loss ; fuzzy PID ; adaptive algorithm ; hilly mountainous areas ; rapeseed pod ; surface area measurement ; 3-D measurement ; side area of oblique cylinders ; rapeseed pod seed testing machine ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Water Footprint Assessment is a young research field that considers how freshwater use, scarcity, and pollution relate to consumption, production, and trade patterns. This book presents a wide range of studies within this new field. It is argued that collective and coordinated action - at different scale levels and along all stages of commodity supply chains - is necessary to bring about more sustainable, efficient, and equitable water use. The presented studies range from farm to catchment and country level, and show how different actors along the supply chain of final commodities can contribute to more sustainable water use in the chain.
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; effective rain ; cabbage ; urban area ; water footprint benchmarks ; value addition ; threshold ; Haihe River Basin ; land footprint ; irrigation intensity ; environmental sustainability ; water resources ; virtual water trade ; land use change ; blue water footprint ; embedded resource accounting ; multi-level governance ; soil type ; cattle ; crop water demand ; lettuce ; modelling ; sustainability ; water scarcity footprint ; water scarcity ; green water availability ; root water uptake ; water footprint ; water productivity ; South Africa ; economic land productivity ; crop trade ; Amazon ; Cerrado ; wheat-bread ; international trade ; life cycle analysis ; broccoli ; value chain ; oil palm (Eleasis guineensis) ; crop choice ; water accounting ; retail ; Malawi ; river basin management ; Steenkoppies Aquifer ; carrots ; consumers ; wheat ; silk ; soybean ; water footprint assessment ; CSR ; sericulture ; food self-sufficiency ; water management ; water footprint accounting ; packhouse ; economic water productivities ; groundwater ; consumption ; Central Europe ; maize ; beetroot ; economic water productivity ; Mato Grosso ; regulation ; food security ; water saving ; crop ages ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Following on from the Special Issue “Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring”, we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference.
    Keywords: monsoon cropland ; Sentinel ; smallholders ; Google Earth Engine ; SAR ; India ; tropical agricultural monitoring ; canopy development analysis ; phenology retrieval ; Sentinel-1 ; multitemporal SAR ; multi-task machine learning ; crop development ; remote sensing ; productivity indicators ; wheat ; growth dynamics ; synthetic aperture radar ; Sentinel-1A ; rice detection ; time-series data ; rice growth-related features ; crop height ; RADARSAT-2 ; corn ; Synthetic Aperture Radar (SAR) ; PolSAR ; machine learning ; RFR ; SVR ; agriculture ; temporal composite ; object-oriented ; crop classification ; crop monitoring ; polarimetry ; decomposition ; field variability ; crop parameters ; multitemporal analysis ; crop identification ; parcel-based classification ; Common Agricultural Policy ; dual-pol ; crop characterization ; phenology ; unsupervised classification ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of original research and review papers that report on the state of the art and recent advancements in food and agriculture engineering, such as sustainable production and food technology. Encompassed within are applications in food and agriculture engineering, biosystem engineering, plant and animal production engineering, food and agricultural processing engineering, storing industry, economics and production management and agricultural farms management, agricultural machines and devices, and IT for agricultural engineering and ergonomics in agriculture.
    Keywords: 3D scanner ; geometric model ; reverse engineering ; fruit ; cucumber ; sustainable production ; screw press ; basket press ; polyphenols ; antioxidant activity ; texture properties ; GLOBAL G.A.P. ; GRASP ; quality management systems ; certification ; primary production ; social practice ; juice ; barley ; pressing ; protein ; chlorophylls ; green food ; nutritional value ; brassica vegetables ; antioxidative properties ; quality of food ; nitrates and nitrites ; frozen storage ; processing of vegetables ; agricultural product ; price ; modeling ; management ; grinding ; organic dust ; sustainable agriculture ; accelerator ; axisymmetric surface ; general equation of dynamics ; non-inertial reference frame ; biochar ; biological soil quality ; Collembola life-form groups ; QBS-c index ; grain grinding ; rotary–centrifugal grinder ; construction optimization criteria ; soil fertility ; integrated agricultural production ; conventional agricultural production ; cold-pressed oils ; functional food ; oxidative stability ; rapeseed oil ; Spanish sage seed oil ; cress seed oil ; probiotic ; non-dairy beverages ; survivability ; fermentation ; bacteria ; coconut ; hemp ; sustainable food production ; biomass ; agricultural biogas plants ; agricultural waste ; sustainable and renewable energy ; organic residue management ; Poland ; flat fan nozzle ; liquid coverage ; coefficient of variation (CV) ; crop yields ; packaging ; biodegradable material ; lyophilized protein structure ; bootstrap methods ; confidence intervals ; lognormal distribution ; sprayer ; droplet diameters ; wheat ; stress relaxation ; Initial load ; Peleg and Normand ; compression ; spelt ; threshing ; dehuller ; legumes ; infrared processing ; acceleration of the process of hydration ; Peleg’s equation ; rice ; compressive strength ; rupture energy ; potato ; tuber ; storage losses ; UV-C ; forage from grain ; cereal grain ; energy consumption ; pumpkin ; Cucurbita maxima ; antioxidative activity ; Oxygen Radical Absorbance Capacity (ORAC) ; cluster analysis ; microbiological analysis ; structure ; implications for practice ; mixing of granular materials ; fluorescence ; tracer ; industrial feed ; image analysis ; press cakes ; compaction ; disposal ; sustainable development ; modern products ; animal waste ; biogas ; dairy cattle farms ; energy potential ; waste management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Requests for regional soil moisture observations are increasing to parameterize complex hydrological models, to assess the impact of land-use changes, and to develop climate adaption strategies in the agricultural sector. Spatial land-use patterns have an impact on the soil water balance and groundwater recharge. Soil moisture is therefore a key parameter for the long-term monitoring and development of sustainable land-management and landscape design strategies that mitigate regional water scarcity and droughts. For example, the spatial organization of hedges or tree rows related to open land and wind direction avoids soil erosion, limits local evaporation, and increases local soil water storage. Since the early 1980s, satellite missions have been designed to monitor proxies for soil moisture, mainly at the national and global scale, with a relatively coarse pixel resolution and low accuracy. The local effects of weather and climate are very dynamic in space and time. Thus, a strong need exists for more accurate, regional-scale remote sensing products for soil moisture. The transfer of existing, proof-of-concept algorithms to region-specific monitoring frameworks is urgent. This Special Issue provides an overview of current developments on remote sensing-based soil moisture observations that are applicable at a regional scale. The compendium of research papers demonstrates the benefits of concurrently utilizing multi-source remote sensing data and in situ measurements through: - Using additional data and site-specific knowledge; - Combining empirical and physical approaches; - Developing concepts to deal with mixed pixels.
    Keywords: instrument development ; hyperspectral ; spectroradiometry ; LiDAR ; soil ; regional soil moisture ; in situ network ; AMSR2 ; FY3B ; evaluation ; EVI ; SST ; disaggregation ; soil moisture ; DISPATCH ; Intermediate spatial resolution ; SMAP ; geostationary ; validation ; SEVIRI ; thermal infrared ; land surface temperature ; downscaling ; advanced scatterometer (ASCAT) ; soil moisture active passive (SMAP) ; random forest ; low-cost sensor ; AMSR-E ; the microwave polarization difference index ; surface soil moisture ; regional scale ; vegetation traits ; multi-sensor approach ; wetland ; environmental monitoring ; remote sensing ; geostatistics ; gap-filling ; mesonet ; ESA CCI SM ; ASTER imagery ; soil moisture content ; thermal inertia model ; serial dual-source model ; surface component temperature ; shadow impact ; multi-model coupling ; optimal solution method ; ESA CCI ; residual soil moisture ; evapotranspiration ; trend ; rainfall variability ; CHIRPS ; theta probe ; Sentinel-1A ; NDVI ; modified Dubois model ; Sentinel-1/2 ; Landsat-8 ; GF-1 ; vegetation water content ; Oh ; Dubois ; IEM ; WCM ; SSRT ; SAR ; LAI ; wheat ; Sentinel-1 ; support vector machine ; ordinary least square regression ; time series ; Mongolia ; MODIS ; relative soil moisture ; Chinese Loess Plateau ; ATI ; TVDI ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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