Optimizing Plant Cultivation Using Machine Learning: Climate, Soil, and Control Predictions

Abstract—Agriculture is required for food production, but it can be hard to choose the right climate, soil, and pest control agents. This paper presents a machine learning system that helps farmers by providing the best conditions for plant growth. We use a Random Forest algorithm to predict the right climate, soil type, correct pesticides, and when to use them. Whenever a user enters the name of a plant, the system suggests things based on historical records. With this, farmers can make informed decisions, optimize crop production, and reduce losses using the right methods of farming.