Early detection of plant virus infection using multispectral imaging and spatial-spectral machine learning
Cassava brown streak disease (CBSD) is an emerging viral disease that can greatly reduce cassava productivity, while causing only mild aerial symptoms that develop late in infection. Early detection of CBSD enables better crop management and intervention. Current techniques require laboratory equipm...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125990 |
Ejemplares similares: Early detection of plant virus infection using multispectral imaging and spatial-spectral machine learning
- Early detection of plant virus infection using multispectral imaging and machine learning
- Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches
- Early detection of infection by Penicillium digitatum in oranges using hyperspectral imaging and machine learning
- Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa
- Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru
- Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands