Litcius/Paper detail

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

2024Computers and Electronics in Agriculture12 citationsDOI

Topics & Concepts

AutomationSample (material)EngineeringArtificial intelligenceComputer scienceMechanical engineeringChromatographyChemistryPlant Water Relations and Carbon DynamicsWater Quality Monitoring and AnalysisLeaf Properties and Growth Measurement
Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score-based evaluation | Litcius