Swati Parashar et al, International Journal of Computer Science and Mobile Computing, Vol.8 Issue.4, April- 2019, pg. 204-208 © 2019, IJCSMC All Rights Reserved 204 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.199 IJCSMC, Vol. 8, Issue. 4, April 2019, pg.204 – 208 Image Processing: A Report on How the Technique Helped Reforming the Disease Detection in Plants 1 Swati Parashar; 2 Ms.Kirti Bhatia; 3 Ms.Shalini Bhadola 1 M-Tech Student (Computer Science & Engg.) Sat Kabir Institute of technology and Management Bahadurgarh (HR) Affiliated by Maharshi Dayanand University (Rohtak), India 2 AP(Computer Science & Engg.) Sat Kabir Institute of technology and Management Bahadurgarh (HR) Affiliated by Maharshi Dayanand University (Rohtak), India 3 AP(Computer Science & Engg.) Sat Kabir Institute of technology and Management Bahadurgarh (HR) Affiliated by Maharshi Dayanand University (Rohtak), India swatiparashar007@gmail.com, bhatia.kirti.it@gmail.com, shalini77info@gmail.com ABSTRACT: Distinguishing proof of the plant ailments is the way to keeping the misfortunes in the yield and amount of the farming item. The investigations of the plant sicknesses mean the investigations of outwardly discernible examples seen on the plant. Wellbeing observing and sickness location on plant is basic for maintainable farming. It is hard to screen the plant illnesses physically. It requires huge measure of work, ability in the plant infections, and furthermore requires the unreasonable handling time. Consequently, picture preparing is utilized for the discovery of plant maladies. Malady location includes the means like picture obtaining, picture pre-handling, picture division, highlight extraction and order. This paper examined the strategies utilized for the recognition of plant ailments utilizing their leaves pictures. This paper likewise talked about some division and highlight extraction calculation utilized in the plant malady discovery. This paper exhibits a calculation for picture division system which is utilized for programmed recognition and grouping of plant leaf sicknesses. The present work has been carried out for the detection of diseases: Alternaria Alternata, Anthracnose, Bacterial Blight, Cercospora Leaf Spot using image processing techniques. Keywords: Matlab, image processing, segmentation, plant leaf diseases, and agricultural production.