Automated early yield prediction in vineyards from on-the-go image acquisition

Automated early yield prediction in vineyards from on-the-go image acquisition •The system analyses images taken in the vineyard and on the go at 7 km/h.•The system performs on images taken at pre-veraison.•The image classifier is simpler than other previously presented.•Early yield predictions with an average RMSE of 0.17 kg per vine were obtained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

Automated early yield prediction in vineyards from on-the-go image acquisition

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/j.compag.2017.11.026
Publisher site
See Article on Publisher Site

Abstract

•The system analyses images taken in the vineyard and on the go at 7 km/h.•The system performs on images taken at pre-veraison.•The image classifier is simpler than other previously presented.•Early yield predictions with an average RMSE of 0.17 kg per vine were obtained.

Journal

Computers and Electronics in AgricultureElsevier

Published: Jan 1, 2018

References

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