• Lakshmi Shreya Bapatu Yeruguti
• Manjunadh Konapalli
• Manikanta Reddy Konuganti
• Manoj Kumar Raneru
• Suman Shekhar, Sushil Kumar

Agriculture is the mainstay of the Indian economy and employment. Unfortunately, this sector is facing significant issues due to the failure of farmers to select the appropriate crop for their soil. This has led to a drastic reduction in production. In an effort to solve this problem, precision agriculture has been used to improve crop yields and increase profitability. Precision agriculture is a modern agricultural strategy that uses research data on soil kinds, features, and crop yields to educate farmers on the best crop to grow according to specific parameters. This cutting-edge technology enables farmers to operate more efficiently by providing them with tailor-made advice and suggesting optimal solutions for their local environment. Additionally, they can also identify site-specific factors that could help them increase their crop production. By using precision agriculture, farmers can also get better insights into how to maximise their profits with limited resources. It is thus clear that precision agriculture is revolutionising the way Indian farmers operate and making it possible for them to increase their crop production significantly. As a result, crop selection errors are decreased, and production is increased. To recommend a crop for specific parameters with high accuracy and efficiency, a recommendation system based on an ensemble model with a majority voting technique might be suggested using Random Forest Tree, Decision Tree, K-Nearest Neighbor, Logistic Regression, and Naive Bayes as learners. The system’s goal is to give a solution for picking a suitable crop based on weather conditions at a particular location like temperature, ph, rainfall, and soil factors including nitrogen, potassium, and phosphorous values of soil.

recommendation, best crop, ensemble model, majority voting technique

"Best Suited Crop Recommendation System Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.a223-a229, March-2023, Available :http://www.jetir.org/papers/JETIR2303028.pdf

"Best Suited Crop Recommendation System Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppa223-a229, March-2023, Available at : http://www.jetir.org/papers/JETIR2303028.pdf