• Aakunuri Manjula
• Dr. G.Narsimha

This structure is considered to predict the best harvest suitable for the agronomists' area. It also suggests farming strategies for crops such as diverse farming, spacing, irrigation, sow processing, etc. along with fertilizer and pesticide proposals. This is done on the basis of historical soil standards of the area and estimating crop and weather costs. Further, cost prediction is done based on Linear Regression to aid in ranking the crops recommended. India is defined as an agricultural country, where recommendations are given in traditional ways. In a Present-day, recommendations are based on farmers communicate between farmers, experts and various experts have a variety of recommendations. Recommendation can be provided to farmers who use past agricultural activities data. The application provides recommendations to farmers to determine the appropriate fertilizer and crop. This application can be used to increase crop yield and also recommend suitable crop.

Data Mining, Crop Recommendation, Potassium, Nitrogen, Phosphorous, Crop Rotation

"Crop Recommendation and Yield Prediction for Agriculture using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.359-362, March-2019, Available :http://www.jetir.org/papers/JETIRAU06049.pdf

"Crop Recommendation and Yield Prediction for Agriculture using Data Mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp359-362, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06049.pdf