A Novel Based Crop Prediction using Machine Learning and Internet of Things

Generally speaking, India's economy depends heavily on agriculture, which also contributes to food security by producing a certain proportion of household goods. In India, agriculture accounts for about 33% of the GDP and employs 62% of the population. India ranks second in the world for farming food production. The input of technology might enable the farmer to increase output. But today's unnatural climate changes are reducing food output and crop production, which will hurt farmers' economies by resulting in a low yield and also make them less adept at predicting future crops. This study employs machine learning, which is among the most cutting-edge techniques for crop production, to assist new producers by directing them in planting reasonable crops. Machine learning is primarily used to teach computers how to use information or experience to handle issues in the real world. In this research, we will concentrate on applying machine learning to address practical issues in agriculture.