2022
DOI: 10.1016/j.egyr.2022.03.184
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A comparative of modeling techniques and life cycle assessment for prediction of output energy, economic profit, and global warming potential for wheat farms

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Cited by 68 publications
(9 citation statements)
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“…According to our findings, it is concluded that crop biomass can be effectively recycled and crop yield can be increased with higher water productivity under CA, providing a sustainable and socially adaptive alternative to crop residue burning (Meena et al, 2021). Furthermore, residual crop management and reduced tillage strategies can increase energy efficiency in chickpea cultivation (Ghasemi et al, 2022). Therefore, CA, based on the principles of reduced tillage or NT and retention of residues on the soil surface to preserve soil cover, is promoted as an energy‐efficient management strategy to solve environmental problems (Lu & Lu, 2017).…”
Section: Discussionmentioning
confidence: 99%
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“…According to our findings, it is concluded that crop biomass can be effectively recycled and crop yield can be increased with higher water productivity under CA, providing a sustainable and socially adaptive alternative to crop residue burning (Meena et al, 2021). Furthermore, residual crop management and reduced tillage strategies can increase energy efficiency in chickpea cultivation (Ghasemi et al, 2022). Therefore, CA, based on the principles of reduced tillage or NT and retention of residues on the soil surface to preserve soil cover, is promoted as an energy‐efficient management strategy to solve environmental problems (Lu & Lu, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Our research shows that the benefit of conservation tillage in energy savings is also related to the reduced need for irrigation compared to CT. The introduction of highly efficient irrigation technologies reduces energy consumption in chickpea cultivation (Ghasemi et al, 2022). In conservation tillage approaches, constructive changes in soil properties and a new chickpea cultivation ecology significantly reduced irrigation needs in chickpea crops (Gathala et al, 2019).…”
Section: Energy Budgetingmentioning
confidence: 99%
“…32 Some scholars have also used mathematics, artificial neural networks (ANNs), and adaptive neuro-fuzzy inference system (ANFIS) methods to predict the output energy, economic profit, and global warming potential (GWP) of wheat production. 33 There are also studies showing the use of artificial neural network (ANN) and DEA to optimize CO 2 emissions. 34 Global cooperation has spawned many policies and mutual agreements for environmental protection.…”
Section: Literature Reviewmentioning
confidence: 99%
“…There is also research to identify the most sustainable irrigation systems and create a new eco‐consumption environmental toxicity index 32 . Some scholars have also used mathematics, artificial neural networks (ANNs), and adaptive neuro‐fuzzy inference system (ANFIS) methods to predict the output energy, economic profit, and global warming potential (GWP) of wheat production 33 . There are also studies showing the use of artificial neural network (ANN) and DEA to optimize CO 2 emissions 34…”
Section: Literature Reviewmentioning
confidence: 99%
“…The inventory data (foreground data) for the agricultural stage were obtained through farmer interviews. The appropriate sample number for this investigation was determined using Cochran's formula [46,47]:…”
Section: Life Cycle Inventory (Lci)mentioning
confidence: 99%