• Ms. K.Pavani
• Dr N. Madhusudhana Reddy

Our nation's economy is mostly supported by agriculture. The price of the crop has swung more widely in recent years as a result of erratic climatic tendencies and other price swings. Farmers continue to ignore these uncertainties, which leads to waste the crops and results in enormous loss. They are not aware of the crop variety that would be most advantageous to them. Crops suffer harm as a result of people's insufficient understanding of the various crop diseases and their unique treatments. The system is practical and simple to use. It delivers precise outcomes when estimating crop price. To forecast crop price, this system applies the Decision Tree Regression Algorithm from machine learning. Prediction factors include rainfall, wholesale price index, month, and year. As a result, the system The technique provides farmers with a head forecast, which increases their rate of profit and, as a result, the nation's economy. Other modules that are integrated in this system include those for weather forecast, crop and fertilizer advice, and shop, chat portal, and guide.

Crop Suggestion System for Farmers Using Machine Learning

" Crop Suggestion System for Farmers Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g166-g170, July-2023, Available :http://www.jetir.org/papers/JETIR2307625.pdf

" Crop Suggestion System for Farmers Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg166-g170, July-2023, Available at : http://www.jetir.org/papers/JETIR2307625.pdf