Intelligent crop prediction for farmland using real-time sensor data and machine learning

Abstract

This paper presents an intelligent crop prediction for farmland using real-time sensor data and machine learning. As an agricultural country, the majority of India’s population and economy are dependent on agricultural yield growth, which is in turn reliant on soil variables as well as climate factors like temperature and precipitation. Crop production can be increased by technological advancements in agriculture like remote sensing systems and IoT. Further machine learning is used to also used in this project to predict the type of plant that is better suited to be cultivated by integrating sensors such as pH, moisture, rainfall, temperature, and humidity.