• Dr. P. Punitha Ponmalar
• R. Siva Ranjani

In this research paper, the machine learning models to predict the best crop and best fertilizers to be used based on the soil quality and location. This model explored different machine learning algorithms and have performed an analysis. The classifier models used here include Support vector machine, Random Forest and Logistic Regression out of which the maximum accuracy provides a prediction. This also integrated the models where users can enter their soil details and get a crop and fertilizer recommendation. The prediction made by machine learning algorithms will help the farmers to come to a decision which crop and fertilizer to grow to induce the most yield by considering factors like N, K, P, temperature, rainfall, location, etc.

Machine learning, Crop Prediction, Fertilizer Prediction, SVM, Logistic Regression, Random Forest.

"CROP YIELD PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l453-l461, May-2023, Available :http://www.jetir.org/papers/JETIR2305B69.pdf

"CROP YIELD PREDICTION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl453-l461, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B69.pdf