• Kothapalli Sri Sai Bhargavi
• Duggivalasa Snigdha
• Bevara Pujitha
• Siddhartha Sai Sri Surya Surath
• Goddu Jyothi

Agriculture plays a vital role in Indian economy but owing to changing climate, crops often getting impacted, as a result agricultural yield decreases drastically.If the condition get worse, crops may get vulnerable towards infections caused by fungal, bacterial, virus, etc. diseases causing agents.Our proposed model gives a programmed technique to decide leaf infection in a plant utilizing a prepared dataset of leaf images utilizing various algorithms like support vector machine , logistic regression, k-means. The test set is used to check whether an image enter in the system contains disease or not. This model gives a precision of the outcomes produced utilizing different group sizes, advanced tentatively, with image segmentation.

Classification, image segmentation, image accuracy, pre-processing.

"DISEASE PREDICTION OF VARIOUS LEAVES USING IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.h435-h442, June-2022, Available :http://www.jetir.org/papers/JETIR2206748.pdf

"DISEASE PREDICTION OF VARIOUS LEAVES USING IMAGE PROCESSING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pph435-h442, June-2022, Available at : http://www.jetir.org/papers/JETIR2206748.pdf