HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53085-2_7
Reference20 articles.
1. Bassanezi, R.B., et al.: Overview of citrus huanglongbing spread and management strategies in Brazil. Trop. Plant Pathol. 45(3), 251–264 (2020). https://doi.org/10.1007/s40858-020-00343-y
2. Bock, C.H., et al.: Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging. Crit. Rev. Plant Sci. 29(2), 59–107 (2010). https://doi.org/10.1080/07352681003617285
3. Chavarro-Mesa, E., et al.: Preliminary machine learning model for citrus greening disease (Huanglongbing-HLB) prediction in Colombia. In: 2020 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2020 - Proceedings, Colombia. IEEE (2020). https://doi.org/10.1109/ColCACI50549.2020.9247900
4. Deng, X., et al.: Field detection and classification of citrus huanglongbing based on hyperspectral reflectance. Comput. Electron. Agric. 167(9), 105006 (2019). https://doi.org/10.1016/j.compag.2019.105006
5. Deng, X., et al.: Detection of citrus huanglongbing based on multi-input neural network model of UAV hyperspectral remote sensing. Remote Sens. 12(17), 2678 (2020). https://doi.org/10.3390/RS12172678
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