Comprehensive Study: Machine Learning & Deep Learning Algorithms for Paddy Crops

Abstract

Agriculture is a backbone of our Indian country economy. One of the basic needs is food for every human in the world. An Indian farmer's generally plan the whole cultivation process based upon a traditional method or own experience. The advanced technology will lead to help the farmers in order to take proper guidance of whole cultivation process and achieve better yield. Nowadays in the digital world generates a various large amount of useful information, it is a really difficult task to store and process on a meaningful way. Another trending research area such as different intelligent machine learning techniques are used to help the farmer in order to learn from machine learning model. The pesticide paradox testing will help the plant growth properly. There are many paddy leaf diseases attack the plant at early stage, due to that yield will get reduced. In our research paper, we analyze various rice disease classifications, segmentation and provide an accuracy level using different machine learning techniques (ML), deep Learning (DL) models.