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  • 2020-2022  (5)
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  • 1
    Publication Date: 2020-08-28
    Description: Organic agriculture has experienced remarkable growth in recent decades as societal interest in environmental protection and healthy eating has increased. Research has shown that relative to conventional agriculture, organic farming is more efficient in its use of non-renewable energy, maintains or improves soil quality, and has less of a detrimental effect on water quality and biodiversity. Studies have had more mixed findings, however, when examining the impact of organic farming on greenhouse gas (GHG) emissions and climate change. Life cycle assessments (LCAs) in particular have indicated that organic farming can often result in higher GHG emissions per unit product as a result of lower yields. The organic movement has the opportunity to embrace the science of LCA and use this information in developing tools for site-specific assessments that can point toward strategies for improvements. Responding effectively to the climate change crisis should be at the core of the organic movement’s values. Additionally, while societal-level behavioral and policy changes will be required to reduce waste and shift diets to achieve essential reductions in GHG emissions throughout food systems, organic farming should be open to seriously considering emerging technologies and methods to improve its performance and reduce GHG emissions at the production stage.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 2
    Publication Date: 2020-01-18
    Description: Value-added processing and direct marketing are commonly recommended strategies for increasing income and improving the economic viability of small farms. This case study uses partial budgeting to examine the performance of an on-farm store in Kentucky (USA) over a six-year period (2014–2019), intended for adding value to raw farm ingredients through processing and direct sales to consumers. Three primary product supply chains were aggregated, stored, processed, and sold through the farm store: livestock (meats), grains (flours and meals), and fresh produce (fruits, vegetables, and herbs). In addition, prepared foods were made largely from the farm’s ingredients and sold as ready-to-eat meals. Whole-farm income increased substantially as a result of the farm-store enterprise but the costs of operation exceeded the added income in every year of the study, illustrating the challenges to small farms in achieving a sufficient economy of scale in value-added enterprises. By the final two years of the study period, the enterprise was approaching break-even status. Ready-to-eat items, initially accounting for a small fraction total sales, were the most important product category by the end of the study period. This study highlights the importance of adaptability in the survival and growth of a value-adding enterprise as well as the critical role of subsidies in establishing similar enterprises, particularly in low-income, rural areas.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 3
    Publication Date: 2020-11-30
    Description: This systematic review critically analyzes the literature on the study of energy-use patterns in agricultural crop systems in Iran. We examine the relevant methodologies and research trends from 2008 to 2019, a particularly active and productive period. Initially, we find researchers using energy audits and regression modeling to estimate energy-use patterns. Then economic and environmental-emissions audits are more commonly incorporated into analyses. Finally, the application of different Artificial Intelligence (AI) methods are observed in papers. The main focus of this study is on energy-use patterns, economic modelling, and environmental emissions. We then address critical issues, including sample size, energy equivalents, and additional practical energy-saving recommendations which can be considered by researchers in future analyses. The application of AI in the analysis of agricultural systems, and how it can be used to achieve sustainable agriculture, is discussed with the aim of providing guidelines for researchers interested in energy flow in agricultural systems, especially in Iran. To achieve sustainable agriculture systems, we recommend more attention be given toward considering the impact of social factors in addition to energy, environmental and economic factors. Finally, this review should guide other researchers in choosing appropriate crop types and regions in need study to avoid repetitive studies.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 4
    Publication Date: 2021-03-01
    Electronic ISSN: 2589-0042
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Natural Sciences in General , Physics
    Published by Cell Press
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  • 5
    Publication Date: 2021-03-31
    Description: We present a meta-analysis of energy-consumption and environmental-emissions patterns in Iranian cropping systems using data collected from articles published between 2008 and 2018 for 21 different crops. The results show that the crops consuming the most energy per hectare are tomato, sugarcane, cucumber and alfalfa, while sunflower consumed the least. The average total energy input for all crops in Iran during the study period was 48,029 MJ ha−1. Our analysis revealed that potato has the highest potential to reduce energy consumption and that electricity and fertilizer inputs have the most potential for energy savings in cropping systems. Not all studies reviewed addressed the factors that create energy consumption patterns and environmental emissions. Therefore, eight indicators were modeled in this meta-analysis, which include Total Energy Input, Energy Productivity, Energy Use Efficiency, Net Energy, Greenhouse Gas Emissions, Technical Efficiency, Pure Technical Efficiency and Scale Efficiency. The effects of region (which was analyzed in terms of climate), year and crop or product type on these eight indicators were modeled using meta-regression and the nonparametric Kruskal–Wallis test. To create a comprehensive picture and roadmap for future research, the process of the agricultural-systems analysis cycle is discussed. This review and meta-analysis can be used as a guide to provide useful information to researchers working on the energy dynamics of agricultural systems, especially in Iran, and in making their choices of crop types and regions in need of study.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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