Journal Article FZJ-2024-00520

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Reliability Scores From Saliency Map Clusters for Improved Image-Based Harvest-Readiness Prediction in Cauliflower

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2023
IEEE New York, NY

IEEE geoscience and remote sensing letters 20, 8500505 () [10.1109/LGRS.2023.3293802]

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Contributing Institute(s):
  1. Pflanzenwissenschaften (IBG-2)
Research Program(s):
  1. 2171 - Biological and environmental resources for sustainable use (POF4-217) (POF4-217)
  2. DFG project 504991777 - Erkennung landwirtschaftlicher Technologieadoption und -nutzung mithilfe von Satellitendaten und self-supervised Deep Learning. (504991777) (504991777)
  3. DFG project 390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324) (390732324)

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2024-01-13, last modified 2024-02-26


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