• Dr.M.Rajeswari
• M.Janani

India’s backbone is agriculture, and the economy predominantly depends on agriculture's yield, growth, and Argo industry products. Data analysis is an emerging research field in crop yield analysis. Yield prediction is a very important issue in agriculture. Natural disasters in India as per India's National Policy on Disaster Management, the natural disasters that India is prone to are earthquakes, floods, droughts, cyclones, tsunamis, landslides, and avalanches. The disasters are classified based on seasonal disasters. Seasonal disasters like weather and climatic changes like rainfall cause regular issues for farmers across India. Using the dataset and with the suitable attributes for creating a suitable model using a machine learning algorithm.

Agriculture, Seasonal Disaster, Natural disaster.

" ANALYZING THE CROP CULTIVATION BASED ON THE SEASONAL DISASTERS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.255-263, June-2022, Available :http://www.jetir.org/papers/JETIRFN06043.pdf

" ANALYZING THE CROP CULTIVATION BASED ON THE SEASONAL DISASTERS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp255-263, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06043.pdf