• Nadheer Ahmed B
• Adnan Shariq P
• Hisham Ismail V A
• Mohamed Irfaan I
• Abdullah Syed Ismail

Farmers face several challenges when growing crops like uncertain irrigation, poor crop selection, etc. Especially in India, a major fraction of farmers faces challenges to select appropriate crops and fertilizers. Moreover, crop failure due to disease causes a significant loss to the farmers, and has a huge impact on the economy. This paper aims to leverage the power of machine learning techniques to optimize crop yield and enhance agricultural productivity. To provide practical recommendations, the system incorporates a user-friendly interface that allows farmers to input their specific parameters and receive customized suggestions. These recommendations may include suitable crop varieties, fertilizer selection strategies, and cure for plant diseases, all tailored to maximize crop yield based on the machine learning models

"Machine Learning based Crop Yield Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.j20-j23, May-2023, Available :http://www.jetir.org/papers/JETIR2305949.pdf

"Machine Learning based Crop Yield Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppj20-j23, May-2023, Available at : http://www.jetir.org/papers/JETIR2305949.pdf