• S.A.Quadri

Plant disease cause large monetary losses in the agricultural products. Productivity of grape decreases due to infections brought via a variety of diseases that infect the fruit, stem land leaves. Hence, it is imperative to detect land become aware of these ailments at the early stages to avoid the losses. This paper focuses on analysing the diseases and carrying out estimation of Vegetation Index for the grape plants. Significant steps comprise of image acquisition, information pre-processing, image segmentation, feature extraction and image classification. Standard classification methods such as Support Vector Machine (SVM) K-Means Clustering algorithm fare utilized. Normalized difference vegetation index (NDVI), an essentially parameter which portrays the health/fitness of the is calculated. The calculation process comprises of mathematically comparison of near infrared (NIR) & red- light signals, that can assist in differentiating healthful (green) leaves from dry leaves.

"DETECTION OF GRAPE LEAF DISEASE AND ESTIMATION OF VEGETATION INDEX USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c73-c78, August-2022, Available :http://www.jetir.org/papers/JETIR2208209.pdf

"DETECTION OF GRAPE LEAF DISEASE AND ESTIMATION OF VEGETATION INDEX USING IMAGE PROCESSING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc73-c78, August-2022, Available at : http://www.jetir.org/papers/JETIR2208209.pdf