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

Brewer, K.; Clulow, A.D.; Sibanda, M.; Gokool, S.; Odindi, J.; Mutanga, O.; Naiken, V.; Chimonyo, Vimbayi Grace Petrova; Mabhaudhi, Tafadzwanashe

Papers published in Journals (Open Access), 2022

Keywords: crop growth stage; maize; temperature measurement; stomatal conductance; estimation; water stress; thermal infrared imagery; unmanned aerial vehicles; machine learning; forecasting; models; precision agriculture; smallholders; small-scale farming; crop water use; indicators (search for similar items in EconPapers)
Date: 2022
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https://hdl.handle.net/10568/120227

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Persistent link: https://EconPapers.repec.org/RePEc:iwt:jounls:120227

DOI: 10.3390/drones6070169

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