Fusion of Spectroscopy and Cobalt Electrochemistry Data for Estimating Phosphate Concentration in Hydroponic Solution.
Feed-forward back-propagation ANN
Multi-sensor data fusion
hybrid sensor system
phosphate sensing
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
07 Jun 2019
07 Jun 2019
Historique:
received:
22
05
2019
revised:
30
05
2019
accepted:
04
06
2019
entrez:
12
6
2019
pubmed:
12
6
2019
medline:
12
6
2019
Statut:
epublish
Résumé
Phosphate is a key element affecting plant growth. Therefore, the accurate determination of phosphate concentration in hydroponic nutrient solutions is essential for providing a balanced set of nutrients to plants within a suitable range. This study aimed to develop a data fusion approach for determining phosphate concentrations in a paprika nutrient solution. As a conventional multivariate analysis approach using spectral data, partial least squares regression (PLSR) and principal components regression (PCR) models were developed using 56 samples for calibration and 24 samples for evaluation. The R
Identifiants
pubmed: 31181613
pii: s19112596
doi: 10.3390/s19112596
pmc: PMC6603718
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : "Research Program for Agricultural Science & Technology Development (Project No. PJ01389103)", National Institute of Agricultural Sciences, Rural Development Administration, Republic of Korea
ID : PJ01389103
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