[PDF][PDF] Artificial intelligence in agriculture: A literature survey

G Bannerjee, U Sarkar, S Das… - international Journal of …, 2018 - researchgate.net
This paper presents a comprehensive literature survey on the applications of artificial
intelligence techniques in agriculture. The domain of agriculture faces many challenges …

Computational intelligence approach for modeling hydrogen production: A review

S Faizollahzadeh Ardabili, B Najafi… - Engineering …, 2018 - Taylor & Francis
Hydrogen is a clean energy source with a relatively low pollution footprint. However,
hydrogen does not exist in nature as a separate element but only in compound forms …

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 …

Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms

E Elahi, Z Khalid - Applied Energy, 2022 - Elsevier
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 …

Precision farming in modern agriculture

EFI Raj, M Appadurai, K Athiappan - Smart agriculture automation using …, 2022 - Springer
The science, art and practice of growing plants are called agriculture. The history of
agriculture began thousands of years ago. It began independently in various parts of the …

Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic …

E Saeidi, AL Dehkordi… - … Progress & Sustainable …, 2022 - Wiley Online Library
Technical management of agricultural units plays an important role in increasing the yield,
energy efficiency, and decreasing the production costs. Based on that, the present study …

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 …

A review of islanding detection techniques for renewable distributed generation systems

A Khamis, H Shareef, E Bizkevelci, T Khatib - Renewable and sustainable …, 2013 - Elsevier
Islanding detection of distributed generations (DGs) is one of the most important aspects of
interconnecting DGs to the distribution system. Islanding detection techniques can generally …

Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks

B Khoshnevisan, S Rafiee, M Omid, M Yousefi… - Energy, 2013 - Elsevier
This study was carried out in Esfahan province of Iran. Data were collected from 260 farms in
Fereydonshahr city with face to face questionnaire method. The objective of this study was to …

Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC)

B Najafi, SF Ardabili - Resources, Conservation and Recycling, 2018 - Elsevier
In this study, a small-scale production of biogas was undertaken using spent mushroom
compost (SMC). The carbon to nitrogen (C/N) ratio, temperature of the reactor (T), and …