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HORSEDATA Operational Group: Digital monitoring of semi-free horses to optimize breeding and processing processes on extensive livestock farms.

  • Type Operational group
  • Status In progress
  • Execution 2024 -2026
  • Assigned Budget 57.763.808.464,00 €
  • Scope Supraautonómico
  • Autonomous community Andalucía; Madrid, Comunidad de
  • Main source of financing PEPAC 2023-2027
  • Project website GO HORSEDATA
Abstract

GO_HorseData is aware of the need to promote the digital transformation of a traditional sector and modernize it to support the business decisions of the different actors in the value chain of the equine sector through innovation, incorporating real-time data collection and analysis systems into the equine breeding and processing process.

In this way, through the proposed digitalisation, the capacity of farmers to treat each animal individually is improved, responding more quickly to health, well-being, behaviour or development problems than is traditionally done through completely manual work.

Furthermore, this modernisation in individual monitoring has direct consequences on sustainability, achieving more efficient management of resources, increasing farm performance and animal welfare while minimising environmental impact.

Description

The GO_HorseData project, "Digital monitoring of semi-free horses to optimize breeding and processing processes on extensive livestock farms," will develop an intelligent monitoring system based on RFID transponders attached to horses to record and analyze movements related to group management of animals and optimize equine breeding and processing processes, offering a real-time alert system for farmers.

Description of activities
  • Definition of the agents that interfere with the breeding and processing required for horse breeding.
  • Monitoring of specimens to meet identified needs.
  • A monitoring system based on RFID technology will be developed.
  • Intuitive real-time monitoring platform.
  • Support for decision-making.
  • Creating the investment/value-added curve that training represents.
  • Diagnosing the ideal training scenario. Improving digital skills.
Objectives

The overall objective of the project is to design an innovative integrated horse monitoring program to optimize breeding and processing processes on extensive livestock farms.  

Results

The project will result in an innovative integrated horse monitoring program that will optimize breeding and processing processes on extensive livestock farms.

Contact information
  • Coordinator/entity name: Ayesa Foundation
  • Postal address: Avda. Marie Curie 2
  • Coordinator/entity email: info@fundacionayesa.org
  • Telephone: +34 954 467046
Coordinators
  • Fundación Ayesa
Beneficiaries
  • Fundación Ayesa
Outsourced
  • EXPASA Agricultura y Ganadería Sociedad Mercantil Estatal, S.A.
  • DIGITANIMAL S.L
  • DINAMEDIA AGROPECUARIA SOCIEDAD LIMITADA