Early Yield Prediction Using Image Analysis of Apple Fruit and Tree Canopy Features with Neural Networks

Early Yield Prediction Using Image Analysis of Apple Fruit and Tree Canopy Features with Neural Networks

(1) Background: Since early yield prediction is relevant for resource requirements of harvesting and marketing in the whole fruit industry, this paper presents a new approach of using image analysis and tree canopy features to predict early yield with artificial neural networks (ANN); (2) Methods: T...

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Bibliographic Details
Main Authors: Hong Cheng, Lutz Damerow, Yurui Sun, Michael Blanke
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Journal of Imaging
Subjects:
ANN
back propagation neural network (BPNN)
image analysis
machine learning
precision horticulture
sustainability
Online Access:http://www.mdpi.com/2313-433X/3/1/6

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