m
La plateforme documentaire du CTIFL
La plateforme documentaire du CTIFL
     
Article

H 0 01242096
Physiological Disorder Diagnosis of Plant Leaves Based on Full-Spectrum Hyperspectral Images with Convolutional Neural Network

H

L

YANG (M)

KR/UNIV KYUNGPOOK

HORTICULTURAE

2022

8

9

Article 854 17 p.

10.3390/horticulturae8090854

biblio., graph., illus., photo., tabl., anglais

"High-throughput phenotyping is an effective nondestructive method to understand this, and numerous studies are being conducted with the development of convergence technology. This study analyzes physiological disorders in plant leaves using hyperspectral images and deep learning algorithms."

https://www.mdpi.com/2311-7524/8/9/854

physiologie de la plante, carence nutritive, feuille, mesure non destructive, matériel de mesure

FRAISE

IMAGERIE HYPERSPECTRALE

19/09/2022

Z