Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models.
Lactuca sativa L. var. capitata
controlled environment agriculture (CEA)
crop modelling
energy cascade model (MEC)
precision horticulture
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
31 May 2020
31 May 2020
Historique:
received:
18
04
2020
revised:
21
05
2020
accepted:
28
05
2020
entrez:
4
6
2020
pubmed:
4
6
2020
medline:
11
3
2021
Statut:
epublish
Résumé
Proximal sensors in controlled environment agriculture (CEA) are used to monitor plant growth, yield, and water consumption with non-destructive technologies. Rapid and continuous monitoring of environmental and crop parameters may be used to develop mathematical models to predict crop response to microclimatic changes. Here, we applied the energy cascade model (MEC) on green- and red-leaf butterhead lettuce (
Identifiants
pubmed: 32486394
pii: s20113110
doi: 10.3390/s20113110
pmc: PMC7308940
pii:
doi:
Substances chimiques
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
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