Machine learning regression model for predicting honey harvests

Machine learning regression model for predicting honey harvests

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. 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 nect...

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Bibliographic Details
Main Authors: Campbell, Tristan, Dixon, Kingsley, Dods, K., Fearns, Peter, Handcock, Rebecca
Format: Journal Article
Language:English
Published: MDPI 2020
Subjects:
Science & Technology
Life Sciences & Biomedicine
Agronomy
Agriculture
remote sensing
weather
Corymbia calophylla
honey
machine learning
prediction
MODIS
PATTERNS
CLIMATE
WATER
Online Access:http://hdl.handle.net/20.500.11937/81343

Internet

http://hdl.handle.net/20.500.11937/81343

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