Descripción del proyecto
Mejora de la infraestructura de vigilancia agrícola
La producción agrícola afronta varios retos como, por ejemplo, el cambio climático, los problemas medioambientales, la demanda energética y unas mayores expectativas por parte de los consumidores. En conjunto, estos retos imponen la necesidad de desarrollar procesos diseñados cuidadosamente a partir de la recopilación de datos y análisis visuales innovadores. El proyecto financiado con fondos europeos OB-VISLY aprovechará los progresos en análisis y visualización de datos para proporcionar información nueva sobre conjuntos de datos complejos. Tras una investigación en viñedos y plantaciones hortofrutícolas de manzanos regionales, los científicos desarrollarán una interfaz de usuario de análisis visual que puede transformar los datos obtenidos en conocimiento. El trabajo del proyecto favorecerá el diseño de métodos agrícolas más precisos y sostenibles y aumentará el potencial agrícola de Europa gracias al establecimiento de un mercado único digital dentro del sector.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
39100 Bolzano
Italia