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Detecting Herbicide Resistance via Spectral Reflectance by Cahyo Kumoro is a document available to read on EtoBox.
This research article explores the use of image-based spectral reflectance to detect herbicide resistance in glufosinate-resistant and susceptible plants. The study demonstrates that multispectral imaging can differentiate between resistant and susceptible varieties of corn, cotton, and soybean based on spectral reflectance after glufosinate treatment. The findings suggest a rapid and cost-effective method for identifying herbicide-resistant plants, which is crucial for effective weed management.
- Author
- Cahyo Kumoro
- Language
- EN