Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score-based evaluation

Mucchiani, Caio; Zaccaria, Daniele; Karydis, Konstantinos

doi:10.1016/j.compag.2024.108992

Computers and Electronics in Agriculture

2024

DOI: 10.1016/j.compag.2024.108992

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Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score-based evaluation

Caio Mucchiani,

Daniele Zaccaria,

Konstantinos Karydis

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Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score-based evaluation

Cited by 3 publications

References 111 publications

Comparative assessment of univariate and multivariate spectral modelling techniques for non-destructive estimation of RWC in common beans

Comparative assessment of univariate and multivariate spectral modelling techniques for non-destructive estimation of RWC in common beans

Development of an automated and artificial intelligence assisted pressure chamber for stem water potential determination

New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand

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