Crop Analysis Using Deep Learning

Abstract

Food is one of the necessities of a person for endurance. With the population increasing with each day, it gets clear to produce adequate harvests to take care of the increasing numbers. In addition, the economy depends on agriculture too. Yet, there is a critical danger to agriculture production and thus arises the need of automatic identification and analysis of crops.This paper introduces a methodology for building an automatic system which recognizes infection using the leaf pictures and some features like recommending the remedy for that infection. A model has been created using convolution neural network and transfer learning approach using Inception v3 and ResNet 50 .The best-fit model has been chosen to be Inception v3 based on the accuracy of the models. Further this model has been implemented and the data for remedies for the infectious crops has been indicated and added in the model.