Temporal modelling of grape phenology using a monitoring camera sensor

F. Rançon; B. Keresztes; V.H.H. Pham; A. Deshayes; M. Mabrouk; J.P. Da Costa; C. Germain

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Temporal modelling of grape phenology using a monitoring camera sensor

In: Precision agriculture '25

Authors:

F. Rançon

F. Rançon

florian.rancon@agro-bordeaux.fr

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B. Keresztes

B. Keresztes

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V.H.H. Pham

V.H.H. Pham

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A. Deshayes

A. Deshayes

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M. Mabrouk

M. Mabrouk

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J.P. Da Costa

J.P. Da Costa

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C. Germain

C. Germain

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Type:: Chapter

Pages:: 495–501

DOI:: https://doi.org/10.1163/9789004725232_064

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Dar Hadith al Hassania

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In this study, a daily grape images dataset derived from a set of 7 monitoring cameras (Vinelapse, IMS Laboratory) is presented. Features describing the joint evolution of grape colour, texture and berry sizes were then extracted using image processing. The relevance of a flexible statistical framework (generalized additive model) to model non-linear trends and identify periods of change in the time series is presented. Results show steady changes can be identified at certain periods, while accounting for model uncertainty. This illustrates the potential of daily grape images time series to compare the phenological behaviour of plants within the same vineyard.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Temporal modelling of grape phenology using a monitoring camera sensor

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Precision agriculture '25

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