Descrizione del progetto
Progressi dell’infrastruttura di monitoraggio agricolo
La produzione agricola si trova ad affrontare varie sfide tra cui i cambiamenti climatici, le preoccupazioni ambientali, la domanda di energia e le crescenti aspettative dei consumatori. Collettivamente, questi richiedono processi attentamente progettati basati sulla raccolta di dati e sull’analisi visiva innovativa. Il progetto OB-VISLY, finanziato dall’UE, sfrutterà i progressi nella visualizzazione e nell’analisi dei dati per fornire informazioni su insiemi di dati complessi. Dopo la ricerca in meleti e vigneti regionali per la frutticoltura, gli scienziati creeranno un’interfaccia utente di analisi visiva unica in grado di trasformare i dati ottenuti in conoscenza. Gli sforzi del progetto contribuiranno a ottenere metodi agricoli più precisi e sostenibili e aumenteranno il potenziale agricolo in Europa istituendo un mercato unico digitale all’interno del settore.
Obiettivo
Increasing challenges for agricultural production such as climate change, environmental concerns, energy demands, and growing expectations from consumers triggered the necessity for innovation using data-driven approaches such as visual analytics. OB-VISLY extends the visual analytics approach with a structural way of data organization (ontologies), data mining, and visualization techniques to retrieve knowledge from the agricultural monitoring data. The latest advances in data visualization and analytics made it possible to fully exploit the potential of the proposed approach and gain insights into high complexity datasets (multi-source, multi-scale, and different stages).
In OB-VISLY, I will carry out state-of-the-art research that unites two strands of recent, significant inquiry: Big Data analytics in the agricultural sector and visual methods. OB-VISLY aims to (1) establish a regionally significant dataspace enabled to synthesize information about fruit-growing apple orchards and vineyards and derive insight from massive, dynamic, and often conflicting data by providing up-to-date, consistent, and credible assessments; (2) create a single visual analytics user interface that can turn the data into knowledge for users of different information retrieval proficiency.
OB-VISLY will establish and implement an innovative visual analytics-enabled dataspace within the European agricultural sector. The findings will contribute to European priority in building a digital single market and tackle obstacles that hinder the exploitation of big data and digital tools. Thus OB-VISLY will serve social and environmental well-being by uncovering hidden patterns from big agricultural data for future sustainable and environmentally friendly development. Such an endeavor aims to pave a way towards strengthening precision and conservation agriculture methods and create an added value to sustain under competitive conditions and increase agricultural potential in Europe.
Campo scientifico
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticultureviticulture
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
39100 Bolzano
Italia