• Amit Prakash Sen
• Anup Kumar
• Tanmay Giri
• Bikash Sardar

Agricultural image processing has emerged as one of the most inventive and essential image processing fields in recent years. It is currently attracting the attention of academics due to the wide range of connected subdomains. The examination of many domains linked with agricultural image processing is defined in this paper. The recognition model was also examined from a broader perspective in the research. A broad framework for plant disease classification and recognition was proposed in this research. SVM, Neural Network, K-Means, and PCA are just a few of the efficient classification algorithms studied in the research.

Agricultural, Plant, Leaf, Land Featured set

"A review: Agricultural Image Processing and Classification Model Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.142-146, September-2022, Available :http://www.jetir.org/papers/JETIRFS06024.pdf

"A review: Agricultural Image Processing and Classification Model Research", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. pp142-146, September-2022, Available at : http://www.jetir.org/papers/JETIRFS06024.pdf