Detection of Grape Leaf Disease Using Deep Learning
Grapes are a temperate vine that has a substantial juice material, vibrant colors and several nutritional advantages. Growers in remote areas often struggle to identify grape leaf illnesses due to a lack of professionals. Although authorities can be consulted in some sectors, the usage of sight alone for ailments identification is no longer helpful in identifying the reason. Intelligent gadgets can reduce these concerns. Grape plant diseases typically start in the leaves and spread to the stem-wise root, and fruit. When illness strikes, it destroys the whole plant's fruit supply. This approach involves identifying the condition on the leaf's surface to avert fruit loss. The graphic database comprises images of diseases termed Healthy, Black Rot, ESCA and Leaf blight. The Deep Learning program accurately detects illness in grape leaf images and estimates the outcome of the analysis
Authors
- R Jothika
- V. Ravi (ORCID: https://orcid.org/0000-0002-5097-6189)
- A. M. Kalpana
- S. Hemajothi
- M. Lakshmi Priya
Publication Details
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1109/nkcon62728.2024.10774616
- Citations
- 1
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.60