| Autor: |
Araújo João, Pimenta Vasco, Campos José, Pinheiro Pedro, Porto João Vasconcelos, Manso José, Fontes Natacha, Graça António |
| Jazyk: |
English<br />French |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
BIO Web of Conferences, Vol 56, p 01006 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2117-4458 |
| DOI: |
10.1051/bioconf/20235601006 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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