Crop Yield Prediction Using Machine Learning
C. Srinivas
2021International Journal for Research in Applied Science and Engineering Technology89 citationsDOIOpen Access PDF
Abstract
Crop yield prediction is an application that helps farmers to improve crop yield. As selection of every crop is very important in agricultural planning, it mainly depends on market price, climate and production rate. The proposed project predicts the crop yield quantity, based on the following factors Temperature, Humidity, Moisture level of soil and area of field. The rate of yield predicted by our proposed project is displayed as an output to the user that aids the farmer to harvest the crop.
Topics & Concepts
Yield (engineering)Agricultural engineeringCropCrop yieldAgricultureCrop productionSelection (genetic algorithm)Production (economics)Environmental scienceCrop cultivationAgronomyAgroforestryComputer scienceEconomicsMachine learningGeographyEngineeringMetallurgyMacroeconomicsArchaeologyBiologyMaterials scienceSmart Agriculture and AI