• sathvika sukkala
• n.divya
• n.aakash
• v.prashanth
• r.yogesh

Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical and is chiefly contingent upon soil and environment conditions, including rainfall, humidity, and temperature. Our projects helps the farmers to predict the crop prediction. The user should enter the details i.e. region name, season, yield prediction level, crop name then the output will display whether based on the above conditions the particular crop is suitable to grow in that region or not. And user can also predict the crop based on temp, ph, rainfall, humidity, nitrogen, phosphorus, potassium and result is displayed as what crop is suitable for the above conditions. The project also includes the chatbot system, where the users can clarify their queries regarding the crops.

"AGRI HARVEST HELPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k683-k688, March-2024, Available :http://www.jetir.org/papers/JETIR2403A87.pdf

"AGRI HARVEST HELPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk683-k688, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A87.pdf