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ISSN 2063-5346
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Machine learning approach to improve irrigation scheduling process through pan evaporation and evapotranspiration assessment based on real time climatic condition for Solapur district, Maharashtra.

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Kumud A. Gujar, Dr. S. K. Yadav, Dr. Santosh Jagtap
» doi: 10.48047/ecb/2023.12.si8.059

Abstract

Significant use of recent technology helps to enhance farming methods in agriculture to increase crop production. Improved water productivity is solution to increase the final crop production, ecosystem services, income, and better life hoods. Pan evaporation and evapotranspiration provide solution to achieve good quality and quantity crop production by analyzing required water consumption. The water lost from the soil surface is evaporation and water lost through the plant leaves is transpiration process. Different meteorological parameters study assists to estimate pan evaporation and evapotranspiration. This study is undertaken to develop a machine learning model which predict the present pan evaporation. Proposed study done for Sorghum crop, which is one of the important crops of many countries and staple food crop of India.

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