BIO Web Conf.
Volume 56, 202343rd World Congress of Vine and Wine
|Number of page(s)||8|
|Published online||24 February 2023|
Innovation co-development for viticulture and enology: Novel tele-detection web-service fuses vineyard data
Av.daIgreja 42, 6,
2 Sogrape Vinhos, S.A., Aldeia Nova, 4430-852 Avintes, Portugal
Spin.Works has been developing its MAPP.it platform and implementing features in close cooperation with the internal R&D group of Sogrape Vinhos, Portugal's largest winemaker and a long-standing MAPP.it user. Borne of such cooperation were a number of tools that are currently available or in late-stage development in MAPP.it: Information register and filtering capabilities for all plots in a property; combining high spatial resolution data from drone with high temporal resolution data from satellite; availability of past years' data enabling inquiry into historical comparisons and trends; simple statistical analysis such as plant distribution perpercentile, dynamic cut-off points for zoning tools or smoothing; identification, counting, and georeferencing of gaps in the vineyards (dead or otherwise lost plants); plot variability measurement; high degree of exportability and interoperability, such as ability to download both raster and vector data or export maps/analysis as pdf files; mobile app enabling in-field data consultation and analysis, as well as georeferenced notes and photos. Using MAPP.it, Sogrape has streamlined its viticulture management, supporting more efficient daily planning from vineyard managers, evaluating the effect of management decisions on annual and monthly time-frames, explaining the underpinning reasons for observed vineyard block variability and scheduling harvests according to plant vigour and maturity levels (combination of MAPP.it and maturity control data). MAPP.it and Sogrape will continue to cooperate in the eco-development of the plat form to improve the features and functionality of the MAPP.it service taking advantage of developments in satellite data availability and computer support edgeomatic analysis, hopefully leading to easy, quick, and accurate methods for estimating water stress risk, carbon balance potentials, and ecosystem management with nature and biodiversity conservation indicators.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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