Claim · model-written summary
The tool reduced subjective leaf area assessment.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Verbatim
e0“the tool becomes a reliable technological support in process of detection leaf area allowing reducing long periods of time and subjectivity in process”
Title
Leaf detector box: Artificial vision system for leaf area identification
Manuel Agudelo Restrepo Cristian; Eduardo Roa-Guerrero Edgar; Numpaque López Humberto African Journal of Agricultural Research 2017. doi:10.5897/ajar2016.11698
Other claims from this paper (7)
- Method / resource Leaf area estimates had determination coefficient greater than 0.97 versus expert manual analysis.
- Method / resource Repeated orange tree leaf measures had variance 0.00024.
- Method / resource Repeated lemon tree leaf measures had variance 0.007.
- Method / resource Repeated almond tree leaf measures had variance 0.008.
- Method / resource Repeated mango tree leaf measures had variance 0.001.
- Method / resource The tool reduced the time required to detect leaf area.
- Method / resource The tool increased repeatability.