Soybean Disease Detection Using Computer Vision
Automated soybean disease detection using computer vision and visual word bags
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Detail description
Soybean disease detection is vital for crop productivity. Traditional visual inspection is slow and inaccurate. This study presents a computer vision method using image local descriptors and Bag of Visual Words, achieving over 98% accuracy and processing images in 0.1 seconds on average, enabling early and automated disease recognition in soybean crops.
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Contribution detail info
- Project
Smart-AKIS
European Agricultural Knowledge and Innovation Systems (AKIS) towards innovation-driven research in Smart Farming Technology
- Location
- Europe
- Authors
- smart-AKIS
- Purpose
- Dissemination
- File type
- document
- Created on
- Jan 03, 2018
- Origin language
- English
- Official project website
- Smart-AKIS
- License
- CC BY
- Keywords