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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

2022

Brewer, K. | Clulow, A. | Sibanda, M. | Gokool, S. | Odindi, J. | Mutanga, O. | Naiken, V. | Chimonyo, V. G. P. | Mabhaudhi, Tafadzwanashe

AGROVOC Keywords
crop water use estimation forecasting indicators machine learning maize models precision agriculture small-scale farming smallholders stomatal conductance temperature measurement thermal infrared imagery unmanned aerial vehicles water stress
Bibliographic information
Other Subjects
Crop growth stage
Language
English
Note
Source Identifier: oai:cgspace.cgiar.org:10568/116358; . setSpec: com_10568_110262; . setSpec: com_10568_110259; . setSpec: com_10568_16814; . setSpec: col_10568_110269; . setSpec: col_10568_36185;
License
CC-BY-4.0. Open Access
Type
Journal Article; Journal Part
Source
Drones
2022-10-15
AGRIS AP
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