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Deep Siamese Networks for Plant Disease Detection.
- Source :
-
EPJ Web of Conferences . 1/10/2020, Vol. 226, p1-4. 4p. - Publication Year :
- 2020
-
Abstract
- Crop losses are a major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. The goal of our research is to develop a multi-functional platform to help the farming community to tilt against plant diseases. In our previous works, we reported about the creation of a special database of healthy and diseased plants' leaves consisting of five sets of grapes images and proposed a special classification model based on a deep siamese network followed by k-nearest neighbors (KNN) classifier. Then we extended our database to five sets of images for grape, corn, and wheat – 611 images in total. Since after this extension the classification accuracy decreased to 86 %, we propose in this paper a novel architecture with a deep siamese network as feature extractor and a single-layer perceptron as a classifier that results in a significant gain of accuracy, up to 96 %. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21016275
- Volume :
- 226
- Database :
- Academic Search Index
- Journal :
- EPJ Web of Conferences
- Publication Type :
- Conference
- Accession number :
- 141366478
- Full Text :
- https://doi.org/10.1051/epjconf/202022603010