Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications.
Algorithms
Biosensing Techniques
/ instrumentation
Calibration
Crops, Agricultural
/ metabolism
Hyperspectral Imaging
/ instrumentation
Light
Membranes, Artificial
Microwaves
Niobium
/ chemistry
Optical Devices
/ economics
Oxides
/ chemistry
Oxygen
/ chemistry
Plant Leaves
/ metabolism
Plasma Gases
/ chemistry
Refractometry
Silicon
/ chemistry
Spectrum Analysis
Surface Properties
Journal
Applied optics
ISSN: 1539-4522
Titre abrégé: Appl Opt
Pays: United States
ID NLM: 0247660
Informations de publication
Date de publication:
10 Feb 2020
10 Feb 2020
Historique:
entrez:
1
4
2020
pubmed:
1
4
2020
medline:
9
1
2021
Statut:
ppublish
Résumé
Hyperspectral imaging for agricultural applications provides a solution for non-destructive, large-area crop monitoring. However, current products are bulky and expensive due to complicated optics and electronics. A linear variable filter was developed for implementation into a prototype hyperspectral imaging camera that demonstrates good spectral performance between 450 and 900 nm. Equipped with a feature extraction and classification algorithm, the proposed system can be used to determine potato plant health with ∼88
Identifiants
pubmed: 32225370
pii: 426242
doi: 10.1364/AO.378269
doi:
Substances chimiques
Membranes, Artificial
0
Oxides
0
Plasma Gases
0
Niobium
05175J654G
Oxygen
S88TT14065
Silicon
Z4152N8IUI
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM