Implementation Of Smart Farming Using Data Analysis Based On Iot And Machine Learning

Abstract

Agriculture plays a vital role in the development of our country. In India about 70% of population depends on farming and one third of the nation‘s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is agriculture by modernizing the current traditional methods of farming. Hence this project aims at monitoring the temperature and moisture sensor using the necessary sensors. Measurement of these factors using these sensors in agriculture can be referred to as smart agriculture. Therefore this modern agriculture can positively impact the planet in immeasurable ways. It improves the yield of crops of all kinds, decreasing the dependence on pesticides, reducing operational costs, optimizing water usage, and ensuring better land management and crop rotation. To ensure better farming method and to get maximum yield with less resources using Communication technology we can monitor live field condition to take corrective action. Hence as advancement in this field, the project presents about the image processing techniques and various sensors for the development and yield of crops