Humidity Prediction in Crop Monitoring System through Machine Learning and web based application in finance and Smart Agriculture 4.0

Abstract

In India, approximately two-third people of the total population depend on farming for their livelihood. Agriculture has given people food, shelter and a way to earn their livelihood. In sustainable goals, smart agriculture 4.0 is the major concern. The world is leading towards new heights with the advancement in technology. Farming has also been evolved in many aspects. Using technology, Farmers also has increased their yields and they are earning more money. Farmer Friend is a java based web application that will be useful for farmers as well as other people who want to gain knowledge about the crops, fertilizers and other farm related tools. And not only gaining the knowledge, they can use it practically. The main objective of this project is to help farmers by providing the essential information for the better yield. This is a web based application to provide all the information at one place. This project will help farmers by letting them know about the soils, crops, fertilizers, etc. All areas vary in terms of soil and other factors like humidity, temperature, rainfall, etc that are required for good crop production. This app will help farmers by providing them the information about which crop to grow in which season according to their area to increase their productivity. So, this application will help them in making more profit. This application will also be helpful to them because it will also provide the information about the latest schemes that government has launched for their welfare.