CROP YIELD PREDICTION USING MACHINE LEARNING

Abstract

Agriculture is considered as 
import field all over the world where there are 
many challenges in solving problems in the 
process of estimating crops based on the 
conditions. This has become a challenge for 
developing countries. Using latest technologies 
many companies are using IOT based services 
and Mechanical technology to reduce manual 
work. These methods are mostly useful in the
case on reducing manual work but not in 
prediction process. In this project crop yield 
prediction using Machine learning latest ML
technology and KNN classification algorithm is 
used for prediction crop yield based on soil and 
temperature factors. Dataset is prepared with 
various soil conditions as features and labels for 
predicting type of each label is related to certain 
crop. In prediction process user can give input as 
soil features and result will be type of crop 
suitable for specific conditions and application 
also helps in suggesting best crops with yield for 
hector.