International Journal For Multidisciplinary Research

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Banana Leaf and Stem disease detection by using Classification Technique

Author(s) Prerana Gaurappawar, Kshitija Wadikar, Pooja Kudale, Namrata Sadakale, Prof S S Pawar
Country -
Abstract Banana is one of the major and economically important fruit crop in India. Banana occupy 20% of the total area of crop in India. In India banana is grown under diverse conditions and production systems. This system focuses to identify, detect and rectify the diseases in banana leaves and also continuously providing updates about the diseases in the leaves of banana plant to the farmer .Here, the system will be provided with the input as regular images of banana leaves captured through different image capturing medias, and the system will further process those images to detect the disease if any and then notify the farmer as well. The system will also guide the farmer about the further actions to be taken such as suggesting him with the right pesticides, fertilizers to use and farming techniques so that diseases will be cured and would not corrupt the crops nearby. Therefore, the further yield of his crop will reach the maximum level and the disease would not replicate in the future.
Keywords Food image, classification, recipes(ingredient).
Field Engineering
Published In Volume 2, Issue 1, January-February 2020
Published On 2020-01-14
Cite This Banana Leaf and Stem disease detection by using Classification Technique - Prerana Gaurappawar, Kshitija Wadikar, Pooja Kudale, Namrata Sadakale, Prof S S Pawar - IJFMR Volume 2, Issue 1, January-February 2020.

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