Open AccessAn Artificial Intelligence Approach to Manage Crop Water Requirements in South Africa
Author(s) -
Akinola Ikudayisi,
André P. Calitz,
Samuel Abejide
Publication year - 2022
Publication title -
trends journal of sciences research
Language(s) - English
Resource type - Journals
eISSN - 2377-8091
pISSN - 2377-8083
DOI - 10.31586/ojes.2022.377
Subject(s) - irrigation , agricultural engineering , environmental science , evapotranspiration , crop coefficient , irrigation scheduling , agriculture , farm water , artificial neural network , irrigation district , mean squared error , water resources , water use , water resource management , computer science , mathematics , water conservation , statistics , engineering , agronomy , machine learning , geography , ecology , archaeology , biology
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