INTEGRATING SOIL NUTRIENTS AND LOCATION WEATHER FOR CROP YIELD PREDICTION
Emeka Ogbuju · Nkechi Dekanu · Ebenezer Oladipe
Keywords:
artificial intelligence
Abstract
The need to prevent blind planting and reduce farming time complexity is currentlymotivating precision agriculture to explore artificial intelligent techniques that wouldintroduce soil nutrients and location weather integration for crop yield prediction. Thiswork proposes the use of seven features to predict crop yield using a universal webapplication.
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