Smart Farming based on Machine Learning and IOT

Abstract

The quantity of food that must be provided is being affected by the progressively deteriorating state of India’s agricultural industry. Many Indian farmers have shifted their focus away from farming and into other industries. This research is useful because it evaluates alternative approaches to selecting crops, planting them, spotting weeds, and keeping tabs on the system. All of these factors add up to a productive output, but they are hampered by things like a lack of workers and unfavorable environmental conditions. This research looked at the system from multiple angles, primarily focusing on image processing, artificial intelligence,machine learning and the internet of things. The research includes a comparison of the current framework with its most up-to-date counterpart.