An Automatic Crop Disease Recognition Method
An automatic crop disease recognition method was proposed in this paper, which combined the statistical features of leaf images and meteorological data. In this SFT, we proposed a method considering not only the classification features extracted from disease image color, shape and texture, but also the crop disease meteorological data including seasonality, location, time, the incidence of external factors such as environmental conditions. The experiments were implemented on three kinds of cucumber disease datasets, downy mildew, blight and anthracnose.
Detail description
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Contribution detail info
- Location
- Europe
- Authors
- smart-AKIS
- Purpose
- Dissemination
- File type
- Factsheet
- File size
- 221 kB
- Created on
- 03-01-2018
- Origin language
- English
- Official project website
- Smart-AKIS
- License
- CC BY
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