Hyperspectral Imaging Through Spatial and Spectral Sensors for Phytopathometry
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5896-0_5
Reference98 articles.
1. Abdulridha, J., O. Batuman, and Y. Ampatzidis. 2019a. UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning. Remote Sensors 11: 1373. https://doi.org/10.3390/rs11111373.
2. Abdulridha, J., Y. Ampatzidis, J. Qureshi, and P. Robert. 2019b. Detection of target spot and bacterial spot diseases in tomato using UAV based and benchtop based hyperspectral imaging techniques. Precision Agriculture 21: 955–978.
3. Akino, S., D. Takemoto, and K. Hosaka. 2013. Phytophthora infestans: A review of past and current studies on potato late blight. Journal of General Plant Pathology 80: 24–37.
4. Ashourloo, D., M.R. Mobasheri, and A. Huete. 2014. Developing two spectral disease indices for detection of wheat leaf rust (Puccinia triticina). Remote Sensing 6: 4723–4740.
5. Barbedo, J.G.A. 2016. A novel algorithm for semi-automatic segmentation of plant leaf disease symptoms using digital image processing. Tropical Plant Pathology 41: 210–224.
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