Project information

  • Category: Machine Learning
  • Guide: Prof. Amit Sethi, Department of Electrical Engineering, IIT Bombay
  • Project date: June, 2021 - Nov, 2021

Analysis of Geo-Economic Factors of Production of Agriculture in India

  • Attempted to establish parameters to predict the yield of the crop district-wise in India
  • Achieved the objective of providing a foundation of data for learning agents which help the farmers to take decisions that improve their farming efficiency and profitability as compared to the traditional methods
  • Trained the data using XGB, SVM, and MLP regressors, achieving an F1 score of 0.95 using XGB