2019
DOI: 10.1016/j.energy.2019.07.175
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Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran

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Cited by 91 publications
(23 citation statements)
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“…Marginal food insecurity indicates that the representative of the household reports worries about future access to food or food affordability ( Mostashari-Rad et al., 2019 ; Saber et al., 2020 ). The moderate situation indicates that households lack the means to buy higher nutritional quality foods.…”
Section: Methodsmentioning
confidence: 99%
“…Marginal food insecurity indicates that the representative of the household reports worries about future access to food or food affordability ( Mostashari-Rad et al., 2019 ; Saber et al., 2020 ). The moderate situation indicates that households lack the means to buy higher nutritional quality foods.…”
Section: Methodsmentioning
confidence: 99%
“…Others conducted life cycle assessment to evaluate the environmental impacts in various stages of the food supply chain Elsoragaby et al (2019) , Mostashari-Rad et al (2019) , Saber et al (2020) , Khanali et al (2021) , Mostashari-Rad et al (2021) , Lv et al (2019) Nabavi-Pelesaraei et al (2019) . Ghasemi-Mobtaker et al (2020) .…”
Section: Related Workmentioning
confidence: 99%
“…DEA is a powerful non-parametric comprehensive evaluation method to measure relative efficiency of a large number of decision-making units (DMUs) (Nabavi-Pelesaraei et al, 2019). This method selects the efficient DMUs as reference benchmark to identify levels and causes of inefficient DMUs.…”
Section: Sbm-dea Modelmentioning
confidence: 99%
“…Data envelopment assessment (DEA) has been widely used in the performance evaluation of water sector in recent years (Dong et al, 2017;Hu et al, 2019;Jiang et al, 2020). This method obtains relative efficiency of decision-making units (DMUs) with multiple inputs and multiple outputs based on linear programming (Mostashari-Rad et al, 2019). A significant advantage of the DEA method is that it is not necessary to assume a correlation between input and output indicators (Hosseinzadeh-Bandbafha et al, 2018).…”
Section: Introductionmentioning
confidence: 99%