Parameterization and Calibration of Wild Blueberry Machine Learning Models to Predict Fruit-Set in the Northeast China Bog Blueberry Agroecosystem

Parameterization and Calibration of Wild Blueberry Machine Learning Models to Predict Fruit-Set in the Northeast China Bog Blueberry Agroecosystem

Data deficiency prevents the development of reliable machine learning models for many agroecosystems, especially those characterized by a dearth of knowledge derived from field data. However, other similar agroecosystems with extensive data resources can be of use. We propose a new predictive modeli...

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Bibliographic Details
Main Authors: Hongchun Qu, Rui Xiang, Efrem Yohannes Obsie, Dianwen Wei, Francis Drummond
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Agronomy
Subjects:
berry crop
fruit-set prediction
machine learning
transfer learning
agroecosystems
Online Access:https://www.mdpi.com/2073-4395/11/9/1736

Internet

https://www.mdpi.com/2073-4395/11/9/1736

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