Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis

A Patel, A Kethavath, NL Kushwaha, A Naorem… - … Applications of Artificial …, 2023 - Elsevier
The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …

Wheat yield modeling under water-saving irrigation and climatic scenarios in transition from surface to sprinkler irrigation systems

S Solgi, SH Ahmadi, AR Sepaskhah, M Edalat - Journal of Hydrology, 2022 - Elsevier
Water-saving through deficit irrigation management is a prominent approach to improving
water productivity (WP) in sustainable agriculture. However, it is not feasible to assess many …

New hybrid nature-based algorithm to integration support vector machine for prediction of soil cation exchange capacity

S Emamgholizadeh, B Mohammadi - Soft computing, 2021 - Springer
Soil cation exchange capacity (CEC) strongly influences the chemical, physical, and
biological properties of soil. As the direct measurement of the CEC is difficult, costly, and …

Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models

J Shiri, B Karimi, N Karimi, MH Kazemi, S Karimi - Journal of Hydrology, 2020 - Elsevier
Accurate estimation of wetting front dimensions in surface and sub-surface irrigation systems
is very important for optimal management of water resources as well as increasing the …

[HTML][HTML] Specific power or droplet shear stress: Which is the primary cause of soil erosion under low-pressure sprinklers?

X Hui, H Zhao, H Zhang, W Wang, J Wang… - Agricultural Water …, 2023 - Elsevier
Specific power and droplet shear stress are generally considered to be the most critical
indicators of soil erosion in sprinkler irrigation, but there is controversy about which indicator …

Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models

A Bazoobandi, S Emamgholizadeh… - European Journal of …, 2022 - Taylor & Francis
Contamination issues especially heavy metals such as cadmium (Cd) and lead (Pb) are
currently considered as one of the most important and unsolved issues, which are directly …

Accurate model development for predicting sprinkler water distribution on undulating and mountainous terrain

F Yang, Y Jiang, H Li, X Hui, S **ng - Computers and Electronics in …, 2024 - Elsevier
The hilly terrain modifies the droplet landing positions in comparison to flat ground,
complicating the prediction of sprinkler water distribution on such uneven regions. Utilizing a …

Self-organizing map estimator for the crop water stress index

N Kumar, R Rustum, V Shankar, AJ Adeloye - Computers and Electronics in …, 2021 - Elsevier
Crop water stress index (CWSI) is a reliable, economic and non-destructive method of
monitoring the onset of water stress for irrigation scheduling purposes. Its application …

Machine learning and regression-based techniques for predicting sprinkler irrigation's wind drift and evaporation losses

MA Mattar, DK Roy, HM Al-Ghobari… - Agricultural Water …, 2022 - Elsevier
Wind drift and evaporation losses (WDEL), which can occur as a result of operational and
meteorological factors, are two of the most significant sprinkler-irrigation losses that can …