Application of Machine Learning Techniques to Discern Optimal Rearing Conditions for Improved Black Soldier Fly Farming.
Internet of Things
black soldier fly
insect for feed
insects farming
machine learning
Journal
Insects
ISSN: 2075-4450
Titre abrégé: Insects
Pays: Switzerland
ID NLM: 101574235
Informations de publication
Date de publication:
19 May 2023
19 May 2023
Historique:
received:
20
03
2023
revised:
15
05
2023
accepted:
16
05
2023
medline:
26
5
2023
pubmed:
26
5
2023
entrez:
26
5
2023
Statut:
epublish
Résumé
As the world population continues to grow, there is a need to come up with alternative sources of feed and food to combat the existing challenge of food insecurity across the globe. The use of insects, particularly the black soldier fly (BSF)
Identifiants
pubmed: 37233107
pii: insects14050479
doi: 10.3390/insects14050479
pmc: PMC10231057
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Foreign and Commonwealth Office
ID : IMC-Grant 21108
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