Comparison of Machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries

Comparison of Machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries

Apple (<i>Malus domestica Borkh. cv.</i> “<i>Fuji</i>”), an important cash crop, is widely consumed around the world. Accurately predicting preharvest apple fruit yields is critical for planting policy making and agricultural management. This study attempted to explore an eff...

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Bibliographic Details
Main Authors: Xueyuan Bai, Zhenhai Li, Wei Li, Yu Zhao, Meixuan Li, Hongyan Chen, Shaochong Wei, Yuanmao Jiang, Guijun Yang, Xicun Zhu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
apple fruit
yield prediction
remote sensing
planet
time series
∑NDVI
Online Access:https://www.mdpi.com/2072-4292/13/16/3073

Internet

https://www.mdpi.com/2072-4292/13/16/3073

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