Abstract
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.
Highlights
IntroductionThe logic of this review study is to report the research methodologies, address their challenges and indicate a summary of the results obtained in researches conducted in different crops and regions of Iran
Has any intervention been made in the studies to improve the situation of energy consumption pattern or reduce environmental emissions and improve the economic model? Another important question is whether hypotheses have been made about the reasons for the formation of current patterns in energy, economics and the environment in such studies? Are remedial strategies suggested in the studies? Have social indicators been examined in the analysis of energy consumption pattern, environment and economy? In part of this review study, the correlation between the number of articles published in different crops and the amount of production of those crops is shown, which can be a good indicator to understand the importance of conducting research in each area
Keywords that are most common in this type of articles are: energy, energy ratio, Iran, product name, economic analysis; energy efficiency, energy analysis, input energy, environment, technical efficiency, data envelopment analysis, energy saving, life cycle assessment, yield, energy use pattern, crop systems, environmental
Summary
The logic of this review study is to report the research methodologies, address their challenges and indicate a summary of the results obtained in researches conducted in different crops and regions of Iran. The primary studies on the pattern of energy consumption in the agricultural sector began in 2008 in Iran. The entry of researchers into the subject of monitoring energy consumption and comparing the pattern of energy consumption in different products and regions was a good start on energy consumption management in the agricultural sector of Iran. After the implementation of the law on subsidies in 2010 and the increase in the price of energy carriers in Iran, government officials and farmers became aware of the importance of examining the pattern of energy consumption on farms. Studying this article can provide readers and researchers with a comprehensive understanding and picture of the energy consumption pattern and how to conduct new energy consumption pattern studies
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.