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Smart Farming-Crop Recommendation System
Tushar Mane, Radha Krishna, Shrushti S. Zade, Shanu Thakur, Sakshi S. Atrik
Dept. Computer Science
Mit ADT University,
Pune, India
Abstract- Evolution leads to innovation to achieve a sustainable environment we need to build a safe ecosystem. Agriculture is an important sector of any economy. Artificial intelligence has been proven to solve many problems that prevent crop failure. The production of any crop depends on various parameters that may be affected by sudden changes in climatic conditions. Unpredictable natural changes result in variations in production yield. Natural parameters such as wind, temperature, climate as well as humidity and more factors affect a lot of farming. Machine learning is used for many purposes to measure the risk factors involved before sowing any crop. The machine helps in decision-making and analysing factors. The Internet of things executed with embedded systems and sensors helps with the evaluation of trends based on real-time data and real-time monitoring. Historical trends combined with technology and real-time analysis helps farmers in choosing suitable crop for maximum and profitable crop production and yield. Technological development is also resulting in increasing agribusiness and modern agriculture.
Keywords— Machine Learning; Artificial Intelligence; Internet of things
