Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles
Early detection of plant diseases, prior to symptom development, can allow for targeted and more proactive disease management. The objective of this study was to evaluate the use of near-infrared (NIR) spectroscopy combined with machine learning for early detection of rice sheath blight (ShB), cause...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2020-01-01
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| Series: | Plant Phenomics |
| Online Access: | http://dx.doi.org/10.34133/2020/8954085 |