Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
Abstract Understanding the interactions among agricultural processes, soil, and plants is necessary for optimizing crop yield and productivity. This study focuses on developing effective monitoring and analysis methodologies that estimate key soil and plant properties. These methodologies include da...
Guardado en:
Autores principales: | Nicola Falco, Haruko M. Wainwright, Baptiste Dafflon, Craig Ulrich, Florian Soom, John E. Peterson, James Bentley Brown, Karl B. Schaettle, Malcolm Williamson, Jackson D. Cothren, Richard G. Ham, Jay A. McEntire, Susan S. Hubbard |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6014d1af1a23475981365e3fdca8733a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application
por: Junzhe Zhang, et al.
Publicado: (2021) -
Using UAV-based thermal imagery to detect crop water status variability in cotton
por: Lorena N. Lacerda, et al.
Publicado: (2022) -
Estimation of Leaf Area Index in vineyards by analysing projected shadows using UAV imagery
por: Sergio Vélez, et al.
Publicado: (2021) -
Seasonality and Characterization Mapping of Restored Tidal Marsh by NDVI Imageries Coupling UAVs and Multispectral Camera
por: William Nardin, et al.
Publicado: (2021) - Research in geophysics