There are some studies regarding the prediction of agricultural energy flows using artificial
neural networks (ANNs). These models are quite sensitive to correlations amongst inputs …

Moving toward environmental sustainability in the fruit production systems needs accurate
monitoring of the systems in terms of energy flow. In this regard, using regression models (ie …

The expected yield of agricultural production is a significant factor in energy management,
because it can help us in an operation like detecting and diagnosing faults, conducting …

The aim of this study was to model the energy flows for the production of different paddy rice
cultivars in Golestan province of Iran using Cobb-Douglas (CD) model and artificial neural …

The evaluation of energy input and output processes in agricultural systems is a crucial
method for assessing sustainability levels within these systems. In this research, the …

The objective of this study was to explore the relation between energy inputs and potato
yield using artificial neural network (ANN) under Saudi Arabia conditions. Additionally, the …

This study was conducted on irrigated and dryland wheat fields in Canterbury in the 2007–
2008 harvest year based on an extensive process of data collection involving a …

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 …

Optimizing the energy flows of agricultural production is a concern in order to find the most
appropriate mix of agricultural inputs, which would in turn minimize energy consumption and …

An artificial neural network (ANN) model was developed to assess the energy input-output
prediction in dairy farms of Iran. Data used were culled from 50 randomly selected farms …