The College of Agriculture at the University of Basra organized a seminar on predicting maize yield using artificial neural networks based on varying levels of nitrogen and potassium fertilization and irrigation water salinity.
The seminar, delivered by researcher Zahraa Waheeh Shalash, aimed to predict maize yield based on variables, including nitrogen and potassium fertilization.
The study included a demonstration of the efficiency of artificial neural networks in predicting maize yield compared to other statistical programs.
Department of Media and Government Communication / College of Agriculture
