Abstract
This study presents a method based on retrofitted low-cost and easy to implement tracking devices, used to monitor the whole harvesting process in viticulture, to map yield and harvest quality parameters in viticulture. The method consists of recording the geolocation of all the machines (harvest trailers and grape harvester) during the harvest to spatially re-allocate production parameters measured at the winery. The method was tested on a vineyard of 30 ha during the whole 2022 harvest season. It has identified harvest sectors (HS) associated with measured production parameters (grape mass and harvest quality parameters: sugar content, total acidity, pH, yeast assimilable nitrogen, organic nitrogen) and calculated production parameters (potential alcohol of grapes, yield, yield per plant) over the entire vineyard. The grape mass was measured at the vineyard cellar or at the wine-growing cooperative by calibrated scales. The harvest quality parameters were measured on grape must samples in a commercial laboratory specialized in oenological analysis and using standardized protocols. Results validate the possibility of making production parameters maps automatically solely from the time and location records of the vehicles. They also highlight the limitations in terms of spatial resolution (the mean area of the HS is 0.3 ha) of the resulting maps which depends on the actual yield and size of harvest trailers. Yield per plant and yeast assimilable nitrogen maps have been used, in collaboration with the vineyard manager, to analyze and reconsider the fertilization process at the vineyard scale, showing the relevance of the information.
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Data availability
The data used to support the findings of this study are available from the corresponding author on reasonable request. An accurate description and access of some of these data are available in Gras et al. (2023).
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Acknowledgements
We acknowledge Christophe Clipet, Jérôme Cufi, Hugues Combes, Eric Thiercy, Thomas Crestey, Pauline Faure and Théo Layre for their support in operating vehicles and collecting the block data during the project and Martine Catanese-Pons, Laure Haon and Christèle Cornier for the financial and administrative support of the study.
Funding
This work has been funded by a grant from the Plant2Pro® Carnot Institute in the frame of its 2021 call for projects. Plant2Pro® is supported by ANR (Agreement Number 002401).
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Gras, JP., Moinard, S., Valloo, Y. et al. Mapping grape production parameters with low-cost vehicle tracking devices. Precision Agric (2024). https://doi.org/10.1007/s11119-024-10125-0
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DOI: https://doi.org/10.1007/s11119-024-10125-0