Design and Development of Smart Farming using ML and IoT in India

IoT is used to find massive amounts of data whereas ML easily identifies trends and patterns and gives more insights into the data that we want for farming. Focuses on improving the productivity of farming in many aspects by building a recommendation model trained by supervised and unsupervised model ML algorithms for smart greenhouse agricultural systems and optimizes work done by farmers as it involves no human intervention. REES52 IoT kit will be used for overall implementation. The proposed model employs logistic regression and a k-means algorithm to predict the kind of crop that will grow followed by deploying a flask module that will help display the results user-friendly through a web application.