Students’ mini-project is a part of UEM JAIPUR curriculum every semester. This Intelligent Agriculture System with Machine Learning is an experiment designed to enhance crop production through the use of advanced technology. The system utilizes a range of sensors to collect data on various environmental factors such as humidity, temperature, soil moisture, soil temperature, and rainfall.

Students’ mini-project is a part of UEM JAIPUR curriculum every semester. This Intelligent Agriculture System with Machine Learning is an experiment designed to enhance crop production through the use of advanced technology. The system utilizes a range of sensors to collect data on various environmental factors such as humidity, temperature, soil moisture, soil temperature, and rainfall. This data is then sent to an online dashboard for real-time monitoring and analysis. The project leverages the power of machine learning to predict the crop type based on the data that has been collected through the sensors. By analysing the data, the system can accurately determine which crops are best suited for the particular environment and provide farmers with valuable insights on how to optimize their crop yields.

This project is done by Kumar Harsh, Iswar Saren, Sujeet Kumar of BCA 3rd year, under the supervision of Prof. Dr. Renu Jangra.