• Raksha Jayaram
• Prof. Deepika K

Food is a basic need for human life. Every human deserves at least a meal per day for his survival. Agriculture plays a major role in feeding the nation with adequate food. Agriculture in India is a component of the primary sector and is considered as the backbone of Indian economy. India is one of the thickly populated countries with more than half of its population engaged in agriculture. Despite agriculture being the prominent occupation in India, the outcome is disappointing. The farmers strive to get the estimated crop yield but the age-old methodologies used are a hindrance. Accurate crop yield prediction will bring about a drastic change in the lives of the farmers. Thereby contributing to the economic growth of the nation. The proposed system uses supervised machine learning algorithms to predict the crop yield accurately. This paper uses Decision Tree, k-Nearest Neighbor and Artificial Neural network algorithms to predict the crop yield and compare their performance.

Artificial Neural Networks, crop yield, Decision Tree, k-Nearest Neighbor, prediction, supervised machine learning

"Performance Collation of Crop Yield Prediction using Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.128-133, June-2020, Available :http://www.jetir.org/papers/JETIR2006020.pdf

"Performance Collation of Crop Yield Prediction using Supervised Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp128-133, June-2020, Available at : http://www.jetir.org/papers/JETIR2006020.pdf