Predict Crop Production in India Using Machine Learning Technique A Survey









Abstract

The main aim of machine learning is to instruct computers to use data or experience to solve a real-life problem. It can apply as association analysis through supervised learning, unsupervised learning, and Reinforcement Learning. In this study, we will focus on the use of machine learning in agriculture to solve real-life problems. We will focus on the state of art on machine learning and its application in agriculture. Also, we study the use of machine learning in wheat crop production. At last, we identify the gaps in wheat crop production and proposed an architecture using supervised machine learning.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL