Ficha del GO PREDIVÍ sobre un modelo de predicción de cosecha vitivinícola a través del big data
El proyecto está basado en el uso de tecnologías big data y machine learning para poder desarrollar modelos de predicción que anticipen información sobre la evolución de parámetros de calidad y volúmenes de cosecha para el sector vitivinícola. Para tal fin, se ha utilizado la información que tienen disponibles las empresas y organizaciones participantes en el proyecto referentes a históricos de producciones, parcelarios, controles de maduración, muestreos, etc. que conjuntamente con las variables obtenidas en la campaña (meteorología, imágenes satélites...) permiten la realización de la predicción. El modelo creado ha mejorado mucho la eficiencia (reducción de costes ligados a las prisas de muestra en parcela) en la predicción de las dos variables estudiadas con unos errores en torno al 10%. El modelo tiene una potente capacidad de aprendizaje que asegura la reducción del error con futuras campañas.
Detaljerad beskrivning
1/1
Information om bidragsdetaljer
- Plats
- Spain
- Författarna
- INNOVI Association of Innovative Companies
- Syfte
- Communication
- Dissemination
- Filtyp
- Document
- Filstorlek
- 322 kB
- Skapad på
- 01-10-2021
- Ursprung språk
- Spanish
- Officiell webbplats för projektet
- PREDIVÍ: big data-based wine harvest prediction model
- Licens
- CC BY
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