• Mr. G.upendra
• Mr. K. Nageswara Reddy

Agriculture is crucial to the global economy. Crop yield prediction is a significant agricultural issue. Agriculture yield is mostly determined by meteorological conditions such as rain, temperature, and so on. A single mistaken decision by farmers, such as farming methods and conventions, can have negative consequences for both themselves and the region's agricultural sector. In this study, we provide an intelligent system that will aid farmers in making the best option regarding which crop to produce based on production and season. Most existing solutions are hardware-based, which makes them expensive and difficult to operate, as well as inaccurate. As a result, the wisdom of employing current technological methods in the Agriculture is an attractive field in this current climate. Machine learning approaches use data to create a well-defined model that allows us to make predictions.

Seasonal Based Crop Prediction Using Machine Learning

"Seasonal Based Crop Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a96-a99, August-2023, Available :http://www.jetir.org/papers/JETIR2308016.pdf

"Seasonal Based Crop 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 8, page no. ppa96-a99, August-2023, Available at : http://www.jetir.org/papers/JETIR2308016.pdf