A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …
as overpopulation, competition for resources poses a threat to the food security of the planet …
A literature study for DEA applied to energy and environment
T Sueyoshi, Y Yuan, M Goto - Energy Economics, 2017 - Elsevier
This study systematically summarizes previous research efforts on Data Envelopment
Analysis (DEA) applied to energy and environment in the past four decades, including …
Analysis (DEA) applied to energy and environment in the past four decades, including …
[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
Use of optimization techniques for energy use efficiency and environmental life cycle assessment modification in sugarcane production
The objective of this work is to apply optimization techniques (OT) including Multi-Objective
Genetic Algorithm (MOGA) and Data Envelopment Analysis (DEA) for environmental impact …
Genetic Algorithm (MOGA) and Data Envelopment Analysis (DEA) for environmental impact …
Estimating energy consumption and GHG emissions in crop production: A machine learning approach
It is necessary to observe the relationship between the energy inputs and outputs of
agricultural production in the context of long-term strategies to determine optimal …
agricultural production in the context of long-term strategies to determine optimal …
Joint carbon footprint assessment and data envelopment analysis for the reduction of greenhouse gas emissions in agriculture production
Operations management tools are critical in the process of evaluating and implementing
action towards a low carbon production. Currently, a sustainable production implies both an …
action towards a low carbon production. Currently, a sustainable production implies both an …
Application of multi-objective genetic algorithms for optimization of energy, economics and environmental life cycle assessment in oilseed production
In this study a multi-objective genetic algorithm (MOGA) was applied to find the best
combination of mixing energy, economic and environmental indices concerning oilseed …
combination of mixing energy, economic and environmental indices concerning oilseed …
A sustainability analysis of two rapeseed farming ecosystems in Khorramabad, Iran, based on emergy and economic analyses
Z Amiri, MR Asgharipour, DE Campbell… - Journal of Cleaner …, 2019 - Elsevier
The overarching goal of this research was to provide sound strategies to further the
development of rapeseed farming and to increase the sustainability and productivity of …
development of rapeseed farming and to increase the sustainability and productivity of …
Optimization of energy consumption and environmental impacts of arecanut production through coupled data envelopment analysis and life cycle assessment
Energy flow and environmental impact are the key factors toward sustainable development
of agricultural production. The objective of the current study is to optimize the energy …
of agricultural production. The objective of the current study is to optimize the energy …
Environmental impact assessment of agricultural production using LCA: A review
Life cycle impact assessment (LCA) provides a better understanding of the energy, water,
and material input and evaluates any production system's output impacts. LCA has been …
and material input and evaluates any production system's output impacts. LCA has been …