• Pooja M. Chawla
• Assistant Prof. Helly Shah

In our Indian Culture, most of the peoples are dependent on the agriculture sector. So that agriculture has become much more than simply a means to feed an ever-growing population. Nowadays Taking care of our agriculture products for example like leaves, fruits, vegetables, seed are more important. Because as in today’s polluted atmosphere harm to these agriculture products. Plant disease causes a major problem in human life which is directly or indirectly. So it is necessary to identify the disease in fruits. Identification of the fruit disease is the key to preventing the losses in the yield and quantity of the agriculture products. But the traditional methods were inaccurate and not much effective. So many researchers in this field lead to include digital image processing for accurate plant diseases detection of using fruits. Disease detection in image processing involves various steps for example – Image acquisition, Image pre-processing, Image segmentation, feature extraction, and classification.

Image Acquisition, Image Segmentation, Image Classification, Feature Extraction, SVM

"A Survey of Digital Classification of Agriculture Data Using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.351-354, March-2019, Available :http://www.jetir.org/papers/JETIR1903A54.pdf

"A Survey of Digital Classification of Agriculture Data Using SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp351-354, March-2019, Available at : http://www.jetir.org/papers/JETIR1903A54.pdf