Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform
Climatic variability and extreme weather events impact agricultural production, especially in sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the development of early warning systems regarding moisture availability can facilitate planning, mitigate losses and optimise yi...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/120227 |
Similar Items: Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform
- Assessment of drip irrigation sub-units using airborne thermal imagery acquired with an Unmanned Aerial Vehicle (UAV)
- Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure
- Prospects of improving agricultural and water productivity through unmanned aerial vehicles
- Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis
- Thermal conductivity, thermal diffusivity, and thermal capacity of some Nigerian soils
- An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery