• Abhishek Singh
• Prof. (Dr.) K.P.Yadav
• Dr.Sunil Kumar
• Dr Harish Nagar

This study attempts to use group information collected on climate change from farmers and sensors deployed in south reason of Rajasthan. India has to resolve a fundamental problem climate-changing issue. Using content analysis and group information, we investigate the perception and adaptation of farmers to climate change. Then results were compared with the collected information on climate and agriculture by data collected from secondary sources. Results indicate that the farmers are aware of long-term changes in climate factors (for example, weather and climate), they seem unable to identify such changes as climate change. Farmers are also aware of risks arising from climate variability and extreme weather events. However, farmers are not taking concrete steps to deal with perceived climate change, even though farmers are changing their farming and agricultural practices. All this is because farmers don't have an accurate understanding of climate change during the decade. These included changing sowing and harvesting timing, crop cultivation of short duration varieties, inter-cropping, changing cropping patterns, investment in irrigation, and agroforestry.

Climate Change, Farmer, Bhilwara, Sowing time, Harvesting timing and temperature.

"Climate Change Analysis with Machine Learning For Better Crop Yield: As Perfect Seeding Time ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.188-193, March-2019, Available :http://www.jetir.org/papers/JETIR1903L26.pdf

"Climate Change Analysis with Machine Learning For Better Crop Yield: As Perfect Seeding Time ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp188-193, March-2019, Available at : http://www.jetir.org/papers/JETIR1903L26.pdf