• Ravi Chandra. Varigonda
• Surekha. Hanmanthgari
• Rahul. Gaddam

India being an agriculture country, predominantly its economy depends on agriculture yield growth and agro-industry products. In crop yield analysis Data Mining is an emerging research field . Yield prediction is a vital issue in agriculture. Any farmer is curious about knowing how much yield he can expect. We analyze various related attributes like location , etc . With the help of third-party applications like APIs for weather and temperature, nutrient value of the soil there in region, amount of rainfall within the region can be determined. All of these attributes are going to be analyzed, train various machine learning algorithms for creating a model. The system comes with a model to be accurate in predicting crop yield and deliver the user with proper recommendations about which crop to sow to expect better yield and increase farmer's revenue.

Data Mining, Prediction, Machine Learning Algorithms.

"Crop Yield Prediction and Efficient Use Of Fertilizers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b330-b332, June-2021, Available :http://www.jetir.org/papers/JETIR2106181.pdf

"Crop Yield Prediction and Efficient Use Of Fertilizers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb330-b332, June-2021, Available at : http://www.jetir.org/papers/JETIR2106181.pdf