• PRATHAMESH DESHPANDE
• PRADNYA SHINDE
• SHUBHAM MADAVI
• AISHWARYA GHARE
• PROF. MANISHA BHARATI

Agriculture is an important source of livelihood and agricultural production depends on the Indian economy. In order to increase crop yield and benefit, the identification of plant leaf diseases at an early stage is critical. This paper offers an overview of different types of plant diseases and various machine learning algorithms used for disease detection in agricultural fields. India ranks second in total farm yields. As indicated by 2018, more than 50 c/o Indian manpower was used by the agribusiness section and contributed 18 percent to total national production. For farmers, continuous monitoring of the plant according to human standards can be expensive. By using distinctive AI algorithms for plant disease detection, automatic image recognition is performed.

plant leaf disease, pre-processing, classifier algorithm, feature extraction, Convolutional neural network (CNN) etc.

"Image Based Plant Disease Detection A Comparison of Deep Learning ,", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.395-400, April-2021, Available :http://www.jetir.org/papers/JETIR2104253.pdf

"Image Based Plant Disease Detection A Comparison of Deep Learning ,", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp395-400, April-2021, Available at : http://www.jetir.org/papers/JETIR2104253.pdf