Machine Learning Algorithms for Crop Yield Prediction in Real-Time Scenarios

The main pillar of the Indian Economy is Agriculture as it ensures food security and financial stability for all people in ancient days. However, due to the unnatural weather conditions, the production of yield crops has severely affected the income of farmers. This work helps early-stage farmers by guiding them through the process of sowing the right crops based on soil using the help of machine learning algorithms. The seeds are collected based on the soil parameters such as Nitrogen, phosphorous, potassium, temperature, and humidity. The system is trained using the Random Forest algorithm to suggest and help the farmers to achieve a successful harvest. A web-based application is also being developed which will allow users to get data about nutrients required for the crop. Experiments are conducted on the collected data samples from the web application and predict the crop yield with good accuracy of 91.2 % and in less response time.