Cargando…
Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods
Rice diseases are major threats to rice yield and quality. Rapid and accurate detection of rice diseases is of great importance for precise disease prevention and treatment. Various spectroscopic techniques have been used to detect plant diseases. To rapidly and accurately detect three different ric...
Autores principales: | Feng, Lei, Wu, Baohua, Zhu, Susu, Wang, Junmin, Su, Zhenzhu, Liu, Fei, He, Yong, Zhang, Chu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683421/ https://www.ncbi.nlm.nih.gov/pubmed/33240295 http://dx.doi.org/10.3389/fpls.2020.577063 |
Ejemplares similares
-
Inversion models of aboveground grassland biomass in Xinjiang based on multisource data
por: Zhang, R. P., et al.
Publicado: (2023) -
Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data
por: Bai, Xiulin, et al.
Publicado: (2023) -
Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion
por: Bai, Jie
Publicado: (2022) -
Based on machine learning algorithms for estimating leaf phosphorus concentration of rice using optimized spectral indices and continuous wavelet transform
por: Zhang, Yi, et al.
Publicado: (2023) -
Machine learning identifies girls with central precocious puberty based on multisource data
por: Pan, Liyan, et al.
Publicado: (2020)