To Develop an Application for Farmer's of Systematic Farming by using Machine Learning

Abstract

The foundation of the social and economic development of our nation is agriculture. However, the bulk of farmers continue to struggle for access to better agricultural facilities. With the support of various government policies, the government also assists farmers with their benefits. The use of the internet and smartphones for smart farming is well known among today's farmers. Growing numbers of educated people are working in agriculture, and they have started using cell phones in rural areas. This Crop Guidance and Farmer's Friend application's primary goal is to help farmers increase their production while also keeping them informed about the most recent agricultural-based data utilised for smart farming. The suggested system is intended to monitor local weather factors like temperature, humidity, and environmental changes. Farmers' time and effort are reduced by this application, which also helps them obtain the current market price for various harvests, fertilisers, and vegetables without having to go to the market. Through this application, the data (value, climate, and most recent rural technology) will be sent to the farmers. This app offers farmers a lot of assistance and keeps them informed. It provides a means of support for practically the whole population, boosting national GDP and creating jobs