Detection of mite infested saffron plants using aerial imaging and machine learning classifier
Aim of study: To evaluate and develop a machine learning code that uses aerial images in visible and near infrared (NIR) spectra to detect mite-infested Saffron (Crocus sativus L.) plants through processing the spectral indices to classify healthy and diseased plants. This leads to the identificati...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Consejo Superior de Investigaciones Científicas (CSIC)
2025-01-01
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| Series: | Spanish Journal of Agricultural Research |
| Subjects: | |
| Online Access: | https://sjar.revistas.csic.es/index.php/sjar/article/view/20452 |
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