Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms

A - Papers appearing in refereed journals

Qiao, X., Wang, J., Jing, B., Zhang, X., Jia, Y., Huang, K., Yang, W., Feng, M., Zhang, Z., Zhao, Y., Shafiq, F., Xiao, L., Song, X., Zhang, M. and Wang, C. 2025. Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms. Precision Agriculture. 26 (60), pp. 1-23. https://doi.org/10.1007/s11119-025-10253-1

AuthorsQiao, X., Wang, J., Jing, B., Zhang, X., Jia, Y., Huang, K., Yang, W., Feng, M., Zhang, Z., Zhao, Y., Shafiq, F., Xiao, L., Song, X., Zhang, M. and Wang, C.
KeywordsRed kidney beans; Bacterial blight; Hyperspectral; Feature selection; Machine learning
Year of Publication2025
JournalPrecision Agriculture
Journal citation26 (60), pp. 1-23
Digital Object Identifier (DOI)https://doi.org/10.1007/s11119-025-10253-1
Open accessPublished as non-open access
FunderNational Key Technologies R&D Program of China
Output statusPublished
Publication dates
Online21 Jun 2025
Publication process dates
Accepted14 May 2025
PublisherSpringer
ISSN1385-2256

Permalink - https://repository.rothamsted.ac.uk/item/9940w/hyperspectral-assessment-of-bacterial-blight-disease-in-red-kidney-beans-by-feature-selection-and-machine-learning-algorithms

Restricted files

Publisher's version

Under embargo indefinitely

6 total views
0 total downloads
6 views this month
0 downloads this month