• PATIBANDLA SIRI CHANDANA
• L.N.B. JYOTSNA
• Ch.Sushma
• K.Vinuthna
• B.Venkata Lakshmi

Preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertize in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. This paper discussed the methods used for the detection of plant diseases using their leaves images. This paper also discussed some segmentation and feature extraction algorithm used in the plant disease detection

Image acquisition, Segmentation, feature extraction

"AN EFFICIENT CLASSIFICATION MODEL FOR PLANT DISEASE DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.19-24, March-2019, Available :http://www.jetir.org/papers/JETIR1903605.pdf

"AN EFFICIENT CLASSIFICATION MODEL FOR PLANT DISEASE DETECTION USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp19-24, March-2019, Available at : http://www.jetir.org/papers/JETIR1903605.pdf