Observationmodel-written summary

Machine-learning clustering identified apple orchard areas with pest incidence above the average for all analyzed pests, especially in the central area.

A claim from Analysis of pest incidence on apple trees validated by unsupervised machine learning algorithms · 2022

Observationobservedoriginal resultmeasured

Claim · model-written summary

Machine-learning clustering identified apple orchard areas with pest incidence above the average for all analyzed pests, especially in the central area.

Interactor
analyzed pestse1pest
Outcome
areas with incidence above the averagee1
Qualifier
especially in the central area of the mape1

Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Malus domestica
Malus domestica · TaxonW.carter · CC0 · Wikimedia Commons ↗

Verbatim

e0

“incidence of aerial pests in a commercial apple orchard”

✓ located verbatim in the source · abstract, characters 237–292
e1

“the analysis using machine learning allowed the identification of areas with incidence above the average for all analyzed pests, especially in the central area of the map”

✓ located verbatim in the source · abstract, characters 969–1139

Title

Analysis of pest incidence on apple trees validated by unsupervised machine learning algorithms

Eduardo Antonio Speranza; Célia Regina Grego; Luciano Gebler Revista Engenharia na Agricultura - REVENG 2022. doi:10.13083/reveng.v30i1.12919

Other claims from this paper (2)

Record rev-e5676df4051e82bcf860bc6d1b27d25b3691df69d980015dfa48b3d8371b94b3 · schema claims-v0.9 · position 2 in the model’s answer