• Hetanshi Chudasama
• Aditi Kharde
• Ketki Mirashi
• Kajal Muley
• Kiran Yesugade

Agriculture helps to meet the basic needs of human and their civilization by providing food, clothing, shelters, medicine and recreation. Hence, farming occupation is the most important enterprise in the world. Agriculture provides different raw materials and provides a free fare and fresh environment, abundant food for driving out famine; favours friendship by eliminating fights. One of the reasons for the shortage of food across the country can be selection of unsuitable crop for cultivation. The proposed project will contain information of different crops and will suggest the farmers crop which is suitable for cultivation based on the geographic area and climatic conditions such as temperature, humidity and moisture which is calculated by using sensors.

sensors, Arduino kit, K-means algorithm, Arduino IDE, machine learning, prediction, climatic conditions.

"Crop Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.300-304, March-2019, Available :http://www.jetir.org/papers/JETIR1903E46.pdf

"Crop Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp300-304, March-2019, Available at : http://www.jetir.org/papers/JETIR1903E46.pdf