Machine Learning Regression Model for Predicting Honey Harvests
Machine Learning Regression Model for Predicting Honey Harvests
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Honey yield from apiary sites varies significantly between years. This affects the beekeeper’s ability to manage hive health, as well as honey production. This also has implications for ecosystem services, such as forage availability for nectarivores or seed sets. This study investigates whether machine learning methods can develop predictive harve...
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Full title
Machine Learning Regression Model for Predicting Honey Harvests
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_0845ce7e900c44f2a705adbc39621d5b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0845ce7e900c44f2a705adbc39621d5b
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture10040118
