• Pranit Gawand
• Priyanka Damale
• Sanket Panchal
• Payal Waghmare
• Sneha Deshmukh

Agriculture is considered to be one of the most advanced and advanced industries made in India. But it is also the result of climate change and its unpredictability has had a profound impact on agriculture. Therefore, crop prediction has become increasingly important an important step towards more efficient crop production and management. This pa, therefore, proposes a brief analysis of yield predictions using a study machine Algorithm such as Support Vector Machine Algorithms.

Deep Learning, Support Vector Machine, SVM, etc.

"Crop Yield Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.c173-c175, February-2022, Available :http://www.jetir.org/papers/JETIR2202242.pdf

"Crop Yield Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppc173-c175, February-2022, Available at : http://www.jetir.org/papers/JETIR2202242.pdf