Crop Guidance and Farmer’s Friend – Smart Farming using Machine Learning

Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, India

^* Corresponding author: tanvidaware17@gmail.com
^** Corresponding author: pratikshasramteke@gmail.com
^*** Corresponding author: ukshaikh210595@gmail.com
^**** Corresponding author: smita.bharne@rait.ac.in

Abstract

Agriculture is the centre of our country’s social and economic development. But the majority of the farmers are still struggling for better agricultural facilities. The government is also helping farmers with their benefits with different government policies. Today’s farmers are well aware of using the internet and smartphone for smart farming. There are expanding quantities of instructed individuals in the farming field and they began utilising cell phones in rustic areas. Thus, the main aim of this Crop Guidance and Farmer’s Friend application is to assist the farmers with expanding their yield as well as to be aware of the current agriculture-based data used for smart farming. The proposed system is designed to track weather conditions at a specific location, such as temperature, humidity, and changes in the environment. This application diminishes the time and efforts of farmers and assists them with getting the day-to-day market cost for various harvests, fertilisers and vegetables without visiting the market. The data (value, climate, most recent rural technique) will be shipped off to the farmers, through this application. This application helps farmers a great deal and keeps them updated. It offers a livelihood for almost all of the population, contributing to countrywide income and gainful employment.