INNOVATION DNA

Objective:

The aim of the project is to develop a proposal for a digital twin for a specific type of farm: nuts.

Digital twins allow the digitisation of physical reality as a base to apply artificial intelligence techniques to large volumes of data. The concept of digital twins in agriculture is so far very little consolidated, especially due to the great complexity of discretising a reality based on living "elements" (a plant or an animal or a group of them...) and with such heterogeneous and complex temporal (plants with life spans of one year versus plants with life spans of hundreds of years...) and spatial (small farms versus larger ones) scopes.

Specific objectives

The project is structured in three phases, during the first one, work will be done to:

• Obtain a data model to support the development of the digital twin. To do this, we will identify and characterise the variables that are relevant in nut crops, as well as the relationships between them.
   
• Identify the data sources for each of the selected variables.
   
• Specify the functionalities that the digital twin should have.
   
• To have a first implementation of the information system that constitutes the digital twin.
   
• To have a first demonstrator fed with data from a real farm that can serve as a basis for the development of the following phases.

Project partners

The consortium carrying out the project is made up of a total of seven entities: two clusters, a technology centre, two SMEs and a technology-based start-up and an agri-food company.

Clúster de Maquinaria Agrícola de Aragón (Project Coordinator)
Asociación de la Industria Alimentaria de Castilla y León
Centro Tecnológico Metalmecánico y del Transporte
Geospatiumlab
7edata business
Agro Inteligent
Pistacyl

The GEDEFEC project is supported by the October 2021 call for proposals to support AAEEII of the Ministry of Industry, Trade and Tourism of Spain, funded by the European Union - Next Generation EU (Ref. No: AEI-010500-2021b-122).

Programa “PAIP”: Ayudas a la Industria y la PYME en Aragón

The main objective of this project has been the design and construction of a platform prototype that systematically gathers and processes remote sensing data to generate final products or basic products over which third parties could create other more added value and complex remote sensing solutions.

Basically, we have tried to invert the traditional focus of the processes in the scope of these technological solutions in such a way that remote sensing products are available automatically prior to their sale.

AYUDAS PARA CONTRATOS TORRES QUEVEDO 2018, PTQ2018-010045, 1/01/2020 – 31/12/2022. Ministerio de Ciencia e Innovación

Proyecto de Investigación Industrial

Objetivos del proyecto:

• Establecer un marco operativo (pre-industrial) de la funcionalidad y tecnologías que permitirán a los usuarios interaccionar por voz con los sistemas que operen de forma destacada con información de base geográfica.
• Establecer un marco operativo de la funcionalidad y tecnologías que permitirán a los usuarios interaccionar en entornos de realidad aumentada con los sistemas que operen de forma destacada con información de base geográfica.
• Establecer un marco operativo de la funcionalidad y tecnologías que permitirán a los usuarios interaccionar de forma mixta (por voz y en entornos de realidad aumentada) con los sistemas que operen de forma destacada con información de base geográfica.
• Validar, como objetivo transversal, la utilidad de los avances que se consigan para proveer de valor a los clientes de la empresa.

AYUDAS PARA CONTRATOS TORRES QUEVEDO 2017, PTQ-17-09481, 1/01/2019 – 31/12/2021. Ministerio de Ciencia e Innovación

Proyecto de Investigación Industrial

Objetivos del proyecto:

• Establecer qué informaciones se pueden recopilar de las aplicaciones móviles (comportamientos habituales en la navegabilidad de las aplicaciones, tiempos requeridos para completar los requerimientos de información que se le solicitan, etc) y en su entorno de ejecución (sensórica tal como GPS, acelerómetro, reloj, uso de la batería, etc), y que puedan aportar valor a los clientes desde el punto de vista de su negocio.
• Disponer de la tecnología de base para poder incorporar fácilmente los mecanismos de captura de la información a las aplicaciones móviles que desarrolle la empresa.
• Desarrollar algoritmos inteligentes que sirvan para derivar nueva información de utilidad para los clientes a partir de los datos recogidos en las aplicaciones móviles y su contexto de ejecución.
• Desplegar una infraestructura cloud que incluya una plataforma IoT en la que almacenar los datos recogidos y sobre la que ejecutar los algoritmos de análisis.
• Validar la utilidad de los avances que se consigan para proveer de valor a los clientes de la empresa.

Geolocation and Optimization of farming processes in open environments (RTC-2016-4790-2)

Project financed by the Program of the Ministry of Economy, Industry and Competitiveness “Challenges in Cooperation” for 2016.

Objectives:

1. Improvement of automatization rates and optimization of farming processes linked to product traceability and planning and execution of activities on field.
2. Development of a software platform to build Location Based Services (LBS) in geographic areas without 3G coverage.
3. Development of optimized hardware, mainly low energy consumption sensors, to obtain necessary information to provide Location Based Services in a farming context without 3G coverage. These sensors can be installed in farming equipment without power source (tools, trailers, etc.) and dispose of high level autonomy.

Participant entities:

• 7eData S.L.: http://www.7edata.com
• GeoSpatiumLab S.L. http://www.GeoSLab.com
• Rigual S.A.: http://www.rigual.es
• Group of Advanced Information Systems (IAAA) of University of Zaragoza: http://iaaa.es
• Human Openware Research Lab (HOWLab) of University of Zaragoza: http://howlab.unizar.es

Project selected for SME Instrument - Phase 1 and financed by Horizon 2020 - Research and Innovation Framework Programme (SMEInst-1-07-2016). Beneficiaries: Zeta Amaltea y GeoSLab.

Advanced ICT Risk Assessment Tool to Increase Climate Resilience, Water-Use Efficiency and Environmental Sustainability of Agricultural Production.

It´s the first tool to fully take into account agricultural farmer’s needs to provide effective water and risk management; considering key internal and external data input. It integrates water management and nitrate pollution EU legislation, watershed data and underground aquifers.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 744140

Our project “Pesticide Finder: Your advisor on pesticide management” was selected on the first call of FINODEX (Future Internet Open Data Expansion), one of the 16 FIWARE accelerators co-financed by the European Union that selects, funds and provides support services to projects from SMEs & Web Entrepreneurs building upon the FIWARE technology and reusing Open Data. We are one of the top 10 companies that have passed to phase 4 (196 applications were submitted; 49 projects passed to phase 2 and 30 to phase 3).

Pestifinder is a tool to help agriculture companies, farmers and advisors to choose the most suitable pesticide for their crops in compliance with current law. It integrates all available public information about authorized pesticides in Member States of the UE and enriches it with geographic information, providing access to users through an easy-to-use Web interface.

Project financed by European Commission 7th Framework Program, whose objective is the publication of spatial data associated to energetic resources (hydrocarbons and minerals) and their production and processing industries, with the aim of improving resource and energetic needs management.

Project financed by European Comission 7th Framework Program, whose objective is to prove initiative GEOSS (Global Earth Observation System of Systems) viability and the scientific value of an interoperable network of observation systems. GeoSpatiumLab has provided technical support to integrate Ebro basin hydrological information into the European Drought Observatory.

CANTOGETHER is financed by the European Comission 7th Framework Program. During the 4 years of project life, socioeconomic and environmental factors that affect agriculture and farming have been analyzed with the objective of designing new techniques to minimize costs and environmental effects.

Project financed by the Ministry of Economy and Competitiveness of Spain in the frame of INNPACTO Program. Its objective is to develop methodologies and tools to evaluate efficiency of water use in industry and possibilities of improving it. This evaluation is based on proven methodologies such as “water footprint”, “life cycle analysis” and “Water pinch”, among others.

Subproject included within the PlanetData initiative (7th Framework Programme of the European Commission) whose objective is to demonstrate the enormous potential of linking together different sources of geographic information under the paradigm of Linked Data.

R&D project financed by Spanish Ministry of Science and Innovation, through the Centre for Industrial Technological Development (CDTI), focused on the definition of the architecture, protocols and standards of Geographic Internet, especially in all aspects related to 3D visualization, virtual worlds and user interaction. See more information on the project Web.