Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms
E Elahi, Z Zhang, Z Khalid, H Xu - Energy, 2022 - Elsevier
The current study estimates target values of energy inputs along with an assessment of
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …
Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms
The current study uses a hybrid optimization technique (ANN and DEA) to estimate smart
energy input packages to reduce the environmental emissions of fish farms. In 2021 …
energy input packages to reduce the environmental emissions of fish farms. In 2021 …
Life cycle assessment, life cycle cost, and exergoeconomic analysis of different tillage systems in safflower production by micronutrients
M Hatim, M Majidian, M Tahmasebi… - Soil and Tillage …, 2023 - Elsevier
In recent decades, one of the biggest challenges facing agriculture has been sustainability.
To achieve sustainability goals, it is necessary to consider the compatibility of …
To achieve sustainability goals, it is necessary to consider the compatibility of …
[HTML][HTML] A comparative of modeling techniques and life cycle assessment for prediction of output energy, economic profit, and global warming potential for wheat farms
H Ghasemi-Mobtaker, A Kaab, S Rafiee… - Energy Reports, 2022 - Elsevier
Uncertainty about the energy use efficiency, lack of knowledge about economic outcomes,
and its environmental consequences have always take risks in changing cultivation patterns …
and its environmental consequences have always take risks in changing cultivation patterns …
A novel approach for efficient crop yield prediction
PSM Gopal, R Bhargavi - Computers and Electronics in Agriculture, 2019 - Elsevier
Crop yield prediction is one of the challenging task in agricultural domain. Extensive
research in agricultural domain has been carried out to predict better crop yield using the …
research in agricultural domain has been carried out to predict better crop yield using the …
Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production
A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Science of the total …, 2018 - Elsevier
Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …
energy management and conservation of environment as it can help us to evaluate …
Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards …
This study estimated energy use flow of buffalo farms, energy use indices, production
efficiency, energy use targets, impact of energy inputs on energy output, and sensitivity …
efficiency, energy use targets, impact of energy inputs on energy output, and sensitivity …
Artificial neural network to estimate the paddy yield prediction using climatic data
V Amaratunga, L Wickramasinghe… - Mathematical …, 2020 - Wiley Online Library
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well‐
known fact that climate change has been accelerated over the past decades due to various …
known fact that climate change has been accelerated over the past decades due to various …
[HTML][HTML] Sensitivity analysis of energy inputs in crop production using artificial neural networks
A Khoshroo, A Emrouznejad, A Ghaffarizadeh… - Journal of cleaner …, 2018 - Elsevier
Sensitivity analysis establishes priorities for research and allows to identify and rank the
most important factors which lead to great improvements in output factors. The aim of this …
most important factors which lead to great improvements in output factors. The aim of this …