• ASHOK TATAPUDI
• Suresh Varma P

Agriculture plays a significant role in economic growth and food security of agro-based country. Selection of crops based on suitable conditions is an important issue for agriculture system. It depends on various parameters such as soil conditions, weather conditions, production rate, market price and government policies. The combination of more data from the Internet of agricultural things and new machine learning capabilities can contribute a crucial part on this. Many researchers studied prediction of yield rate of crop, prediction of weather, soil classification and crop classification for agriculture planning using IoT sensors, statistical methods and machine learning methods. We intend to bring an enhancement in the field of precision agriculture by achieving better results in predicting crop yields as compared to the work already done in the field.

Agriculture, IoT, Machine learning, Classification, Ensemble, Prediction.

"A Study of IoT Based Smart Agriculture Management System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.246-249, June 2019, Available :http://www.jetir.org/papers/JETIR1907J34.pdf

"A Study of IoT Based Smart Agriculture Management System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp246-249, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J34.pdf