Soil utilisation prediction for farmers using machine learning
by Abdul Qadir Zakir; Anushka Singhal; Gurkirat Singh; Pracheesh Pandey; Suresh Sankaranarayanan
International Journal of Sustainable Agricultural Management and Informatics (IJSAMI), Vol. 7, No. 1, 2021

Abstract: Soil is necessary for the growth of the plant and there is a need to know the plant that can be grown. Methods are used for soil analysis by taking soil samples in the lab. Soil indicators analyse the soil remotely from the field. The literature review indicates that no work has been done using machine learning for analysing the soil features for soil utility prediction. We have done an in-depth soil utility analysis by employing deep learning and comparing it with other machine learning models for soil utility prediction resulting in the best prediction model.

Online publication date: Fri, 05-Mar-2021

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