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Published in:
2021 | OriginalPaper | Chapter
Identification and Assessment of Black Sigatoka Disease in Banana Leaf
Authors : Anand Upadhyay, Neha Maria Oommen, Siddhi Mahadik
Published in: Advances in Information Communication Technology and Computing
Publisher: Springer Singapore
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Abstract
Detecting a disease in plants is one of the challenging works. Identifying the disease through naked eyes is difficult. India is famous for agriculture. There were no modern techniques used in machine learning to find disease in banana leaf. Diseases like bacterial wilt and Black Sigatoka in banana leaf cause massive loss to the farmers. With the help of image processing technique and support vector machine algorithm, we can detect the disease called Black Sigatoka in banana leaf. Since this technique is cost effective, it is helpful for the farmers and one can easily detect the disease.