Identification and Level Discrimination of Waterlogging Stress in Winter Wheat Using Hyperspectral Remote Sensing
The frequent occurrence of waterlogging stress in winter wheat not only seriously affects regional food security and ecological security, but also threatens social and economic stability and sustainable development. In order to identify the waterlogging stress level of winter wheat, a waterlogging s...
Guardado en:
Autores principales: | YANG Feifei, LIU Shengping, ZHU Yeping, LI Shijuan |
---|---|
Formato: | article |
Lenguaje: | EN ZH |
Publicado: |
Editorial Office of Smart Agriculture
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5f1fb70f616544b0b98baba5c3c7b6a2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China
por: Yi Xie, et al.
Publicado: (2021) -
Carbohydrate Assimilation and Translocation Regulate Grain Yield Formation in Wheat Crops (<i>Triticum aestivum</i> L.) under Post-Flowering Waterlogging
por: Shangyu Ma, et al.
Publicado: (2021) -
Estimating Grain Protein Content of Winter Wheat in Producing Areas Based on Remote Sensing and Meteorological Data
por: WANG Lin, et al.
Publicado: (2021) -
Optimum Sowing Date of Winter Wheat in Next 40 Years Based on DSSAT-CERES-Wheat Model
por: HU Yanan, et al.
Publicado: (2021) -
Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat
por: Mohammad Rokhafrouz, et al.
Publicado: (2021)