Cargando…
Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions
The application of proximal hyperspectral sensing, using simple vegetation indices, offers an easy, fast, and non-destructive approach for assessing various plant variables related to salinity tolerance. Because most existing indices are site- and species-specific, published indices must be further...
Autores principales: | El-Hendawy, Salah, Elsayed, Salah, Al-Suhaibani, Nasser, Alotaibi, Majed, Tahir, Muhammad Usman, Mubushar, Muhammad, Attia, Ahmed, Hassan, Wael M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825289/ https://www.ncbi.nlm.nih.gov/pubmed/33418974 http://dx.doi.org/10.3390/plants10010101 |
Ejemplares similares
-
Estimating growth and photosynthetic properties of wheat grown in simulated saline field conditions using hyperspectral reflectance sensing and multivariate analysis
por: El-Hendawy, Salah, et al.
Publicado: (2019) -
Potential of Hyperspectral and Thermal Proximal Sensing for Estimating Growth Performance and Yield of Soybean Exposed to Different Drip Irrigation Regimes Under Arid Conditions
por: Elmetwalli, Adel H., et al.
Publicado: (2020) -
Potential Use of Hyperspectral Reflectance as a High-Throughput Nondestructive Phenotyping Tool for Assessing Salt Tolerance in Advanced Spring Wheat Lines under Field Conditions
por: El-Hendawy, Salah, et al.
Publicado: (2021) -
Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions
por: El-Hendawy, Salah, et al.
Publicado: (2022) -
Combining biophysical parameters, spectral indices and multivariate hyperspectral models for estimating yield and water productivity of spring wheat across different agronomic practices
por: El-Hendawy, Salah, et al.
Publicado: (2019)