BIANEXIA Operational Group: Comprehensive IoT platform to improve extensive livestock and hunting operations
- Type Operational group
- Status In progress
- Execution 2024 -2027
- Assigned Budget 553.196,00 €
- Scope Supraautonómico
- Autonomous community Andalucía; Aragón; Madrid, Comunidad de
- Main source of financing PEPAC 2023-2027
- Project website GO BIANEXIA
The BIANEXIA project will develop a comprehensive platform with artificial intelligence and IoT technology to improve the competitiveness of extensive livestock farming and hunting farms. This platform will allow real-time monitoring of animal welfare, optimising productive and health management through early alerts based on the detection of anomalies. A decision-making support tool will also be developed that, by combining images and IoT data, will improve profitability, reducing losses and increasing reproductive indicators.
The BIANEXIA project will develop a comprehensive platform using artificial intelligence and IoT technology to improve the competitiveness of extensive livestock farming and game farms. This platform will enable real-time monitoring of animal welfare, optimizing production and health management through early warnings based on the detection of anomalies.
A decision-support tool will also be developed that, by combining images and IoT data, will improve profitability, reduce losses, and increase reproductive indicators. The information obtained will allow consumers to access reliable information on production conditions, adding value to the agri-food chain and promoting more informed and ethical purchasing decisions. Animal welfare monitoring protocols and the accreditation system will ensure high standards of health, behavior, and comfort in extensive livestock and wildlife farming. Pilot tests in real-world environments will demonstrate the effectiveness of the solutions, ensuring their practical applicability.
The BIANEXIA project integrates AI and IoT technologies to revolutionize livestock and game management, providing real-time monitoring and data analysis to improve animal welfare, increase productivity, and ensure regulatory compliance. Monitoring and evaluation: BIANEXIA will implement a framework to assess the project’s impact on animal welfare, productivity, and sustainability, including: Real-time data collection: Using IoT devices and AI algorithms to collect continuous data on animal health, behavior, and environmental conditions. Performance metrics: Establishing key performance indicators (KPIs) to measure improvements in livestock health, reproductive success rates, and overall farm productivity.
Regulatory Compliance: Ensure practices align with national and regional legislation on animal welfare and environmental sustainability. Pilot Programs: The project will conduct pilot programs in several regions to: Validate Technology: Demonstrate AI and IoT solutions in real-world settings. Collect User Feedback: Gather feedback to improve usability and effectiveness. Measure Impact: Evaluate benefits such as reduced animal mortality rates, increased productivity, and improved welfare standards. Stakeholder Engagement: BIANEXIA engages key stakeholders, including: Farmers and game managers: Providing training and support for the adoption of new technologies.
Regulatory bodies: collaborating to ensure compliance and alignment with agricultural policies.
Consumers: Improving transparency by providing reliable data on production practices, building trust and supporting informed purchasing decisions.
Long-term sustainability: The project promotes sustainable agricultural practices through: Resource optimization: Using data analytics to optimize feed, water, and other resource use.
Economic viability: Improving profitability through improved management practices, reducing losses, and increasing efficiency. Knowledge sharing: Disseminating best practices to encourage widespread adoption of innovative technologies.
The BIANEXIA project was initiated in response to several key factors in legislation, market demands, and technological advances. The growing global emphasis on sustainable agriculture and animal welfare has led to stricter regulations and higher standards for livestock management. Legislation such as the European Union's Common Agricultural Policy (CAP) requires improvements in animal health, environmental sustainability, and the economic viability of farming practices.
Market forces also play an important role, as consumers increasingly demand greater transparency and higher standards in the production of animal products. There is a growing preference for ethically sourced, environmentally friendly, and high-quality products, requiring farmers to adopt more advanced and sustainable practices. Technological advances in AI and IoT provide new opportunities to meet these demands. These technologies enable real-time monitoring, data-driven decision-making, and automation, which are crucial for improving efficiency, productivity, and regulatory compliance.
The ability to collect and analyze large amounts of data from multiple sensors enables more precise and proactive management of livestock health and well-being. Furthermore, economic pressures on extensive livestock and game farms require innovative solutions to remain competitive. Traditional methods are often labor-intensive and less efficient, making it difficult to meet modern standards and consumer expectations.
The BIANEXIA project aims to address these challenges by developing an integrated platform that leverages artificial intelligence and IoT technologies. This platform will help farmers monitor and manage livestock more effectively, ensure compliance with regulatory standards, improve animal welfare, and provide consumers with reliable information on production practices.
In doing so, BIANEXIA seeks to contribute to the modernization and sustainability of the agricultural sector, ensuring it can meet the changing demands of legislation and the market.
- General:
- Increasing the competitiveness of extensive livestock farming and game farms through AI and precision livestock farming to monitor, manage, and support decision-making.
- Specific:
- Decision support tool with IoT to improve profitability.
- Evaluate animal welfare with IoT sensors. Create a real-time alert system.
- Add value with an intuitive system to inform consumers.
- Pilot tests in real environments
- Coordinating entity/name: ROYAL UNION OF BREEDERS OF FIGHTING BULLS (UCTL)
- Postal address: PASEO DE EDUARDO DATO Nº7 LOWER LEFT
- Coordinator/entity email: lmartin@toroslidia.com
- Telephone: 914475781
- REAL UNIÓN DE CRIADORES DE TOROS DE LIDIA (UCTL)
- REAL UNIÓN DE CRIADORES DE TOROS DE LIDIA (UCTL)
- MANUEL GALLARDO CASADO
- ÁNGEL JOSÉ ESCARTÍN GUILLÉN
- MARÍA EVA MUÑOZ MEJÍAS
- JOSÉ FERNANDO SÁNCHEZ GRECH
Related projects
