project - EIP-AGRI Operational Group
Comprehensive IoT Platform to Improve Extensive Livestock and Game Management: Animal Health and Welfare with Artificial Intelligence.
Plataforma Integral IoT para Mejorar la Explotación Ganadera Extensiva y Cinegética: Salud y Bienestar Animal con Inteligencia Artificial.
Contexte
The BIANEXIA project was initiated in response to several key drivers in legislation, market demands, and technological advancements. The increasing 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) mandates improvements in animal health, environmental sustainability, and the economic viability of farming practices.
Market forces also play a significant role, with consumers increasingly demanding transparency and higher standards in the production of animal products. There is a growing preference for ethically sourced, environmentally friendly, and high-quality products, which requires farmers to adopt more advanced and sustainable practices.
Technological advancements 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 compliance with regulations. The ability to collect and analyze vast amounts of data from various sensors allows for more precise and proactive management of livestock health and welfare.
Additionally, the economic pressures on extensive livestock farming and game estates necessitate innovative solutions to remain competitive. Traditional methods are often labor-intensive and less efficient, making it challenging to meet modern standards and consumer expectations.
The BIANEXIA project aims to address these challenges by developing an integrated platform that leverages AI and IoT technologies. This platform will help farmers monitor and manage livestock more effectively, ensure compliance with regulatory standards, enhance animal welfare, and provide consumers with reliable information about production practices. By doing so, BIANEXIA seeks to contribute to the modernization and sustainability of the agricultural sector, ensuring it can meet the evolving demands of legislation and the market.
Activities
The BIANEXIA project will develop an integrated platform utilizing artificial intelligence (AI) and Internet of Things (IoT) technology to enhance the competitiveness of extensive livestock farming and game estates. This platform will facilitate real-time monitoring of animal welfare, optimizing productive and health management practices through early warning systems based on anomaly detection. The project aims to develop a decision support tool that combines visual data and IoT sensor inputs to improve profitability by reducing losses and increasing reproductive indicators.
The data generated will provide consumers with reliable information about production conditions, adding value to the agri-food chain and encouraging more informed and ethical purchasing decisions. The protocols for animal welfare monitoring and the accompanying accreditation system will ensure high standards of health, behavior, and comfort for both extensive livestock and wildlife.
The project includes developing intuitive user interfaces, ensuring the technology is accessible and easy to use. The systems will be tested through pilot programs in real-world farming and game estate environments, demonstrating the functionality and effectiveness of the proposed solutions and guaranteeing their practical applicability and scalability.
Overall, BIANEXIA’s integrated platform represents a significant advancement in AI and IoT applications in agriculture, offering robust solutions for improving productivity, enhancing animal welfare, and fostering greater consumer trust in the agri-food sector. Through its innovative approach, BIANEXIA aims to modernize and sustain extensive livestock farming and game management practices.
Activities
The BIANEXIA project will develop an integrated platform with AI and IoT technology to enhance the competitiveness of extensive livestock farming and game estates. This platform will enable real-time monitoring of animal welfare, optimizing productive and health management through early warnings based on anomaly detection. A decision support tool combining images and IoT data will improve profitability by reducing losses and increasing reproductive indicators. The information obtained will allow consumers to access reliable data on production conditions, adding value to the agri-food chain and promoting more informed and ethical purchasing decisions. Protocols for monitoring animal welfare and the accreditation system will ensure high standards of health, behavior, and comfort in extensive livestock and wildlife. Pilot tests in real environments will demonstrate the effectiveness of the solutions, ensuring their practical applicability.
Additional comments
The implementation of BIANEXIA’s results faces several facilitating elements and obstacles.
Facilitating Elements:
1. Technological Advancements: Rapid advancements in AI and IoT make the integration of these technologies more accessible and cost-effective for farmers.
2. Legislative Support: Growing support from national and regional governments for sustainable farming practices and animal welfare.
3. Market Demand: Increasing consumer demand for transparency and high standards in animal product production.
Obstacles:
1. Initial Costs: High initial investment for IoT devices and AI systems may be a barrier for small-scale farmers.
2. Training Needs: Farmers require training to effectively use and maintain the new technologies.
3. Data Management: Handling large volumes of data from IoT devices requires robust data management and analysis systems.
Suggestions for Future Actions/Research:
1. Subsidies and Grants: Governments should provide financial support to help farmers adopt new technologies.
2. Ongoing Training Programs: Establish continuous training programs to help farmers stay updated with technological advancements.
3. Further Research: Investigate the long-term impacts of AI and IoT integration on animal welfare and farm productivity.
Messages to Consumers:
1. Transparency: The BIANEXIA project aims to provide you with reliable information about the conditions in which animal products are produced.
2. Ethical Choices: By supporting products from farms that use advanced monitoring and welfare systems, you contribute to more humane and sustainable farming practices.
3. Quality Assurance: Enhanced monitoring ensures that animal products meet high standards of quality and safety, providing you with better products.
Overall, BIANEXIA represents a significant step towards modernizing the agricultural sector, promoting sustainability, and improving animal welfare. The success of this project depends on the collaboration between technology providers, farmers, regulatory bodies, and consumers. Together, we can create a more transparent, efficient, and ethical agricultural system.
Additional information
The BIANEXIA project integrates AI and IoT technologies to revolutionize livestock farming and game management, providing real-time monitoring and data analytics to improve animal welfare, enhance 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:
1. Real-time Data Collection: Using IoT devices and AI algorithms to collect continuous data on animal health, behavior, and environmental conditions.
2. Performance Metrics: Establishing key performance indicators (KPIs) to measure improvements in livestock health, reproductive success rates, and overall farm productivity.
3. Regulatory Compliance: Ensuring practices align with national and regional legislation on animal welfare and environmental sustainability.
Pilot Programs:
The project will conduct pilot programs across various regions to:
1. Validate Technology: Demonstrate AI and IoT solutions in real-world settings.
2. Gather User Feedback: Collect feedback to improve usability and effectiveness.
3. Measure Impact: Assess benefits such as reduced animal mortality rates, increased productivity, and enhanced welfare standards.
Stakeholder Engagement:
BIANEXIA engages key stakeholders, including:
1. Farmers and Game Managers: Providing training and support for adopting new technologies.
2. Regulatory Bodies: Collaborating to ensure compliance and alignment with agricultural policies.
3. Consumers: Enhancing transparency by providing reliable data on production practices, building trust, and supporting informed purchasing decisions.
Long-term Sustainability:
The project promotes sustainable farming practices by:
1. Resource Optimization: Using data analytics to optimize feed, water usage, and other resources.
2. Economic Viability: Enhancing profitability through improved management practices, reducing losses, and increasing efficiency.
3. Knowledge Sharing: Disseminating best practices to encourage widespread adoption of innovative technologies.
BIANEXIA aims to set a new standard in livestock and game management, promoting a sustainable, ethical, and technologically advanced agricultural sector.
Project details
- Main funding source
- CAP Strategic Plans 2023-2027 for Operational Groups
- Additional funding source
- No additional funding source
- Project contribution to EU Strategies
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- Protecting and/or restoring of biodiversity and ecosystem services within agrarian and forest systems
- Improving animal welfare
- Fostering biodiversity friendly afforestation and reforestation
- Territorial scope
- Cross-border
Budget information
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EAFRD contribution EUR 181 090.91
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National co-financing EUR 45 272.73
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EAFRD contribution EUR 133 219.98
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National co-financing EUR 33 305.00
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EAFRD contribution EUR 80 663.03
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National co-financing EUR 20 165.76
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EAFRD contribution EUR 47 582.85
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National co-financing EUR 11 895.71
Ressources
Liens
- Partner website: link, UE-MAPA logos, banners and references
- Partner website: link, UE-MAPA logos, banners and references
- Partner website: link, UE-MAPA logos, banners and references
- Partner website: link, UE-MAPA logos, banners and references
- Provider website: link, UE-MAPA logos, banners and references
- Partner website: link, UE-MAPA logos, banners and references
- Provider website: link, UE-MAPA logos, banners and references
- Partner website: link, UE-MAPA logos, banners and references
- Provider website: link, UE-MAPA logos, banners and references
9 Practice Abstracts
Abstract de Práctica 7: Blockchain para la Trazabilidad en Productos Ganaderos
Título: Blockchain para la Trazabilidad en Productos Ganaderos
Resultados principales:
BIANEXIA ha integrado la tecnología blockchain en su sistema de gestión ganadera para garantizar la trazabilidad de los productos animales desde la granja hasta el consumidor. Esta tecnología proporciona un registro inmutable de todo el ciclo de vida de los productos ganaderos, mejorando la transparencia y la confianza.
Recomendaciones prácticas:
Implementar la tecnología blockchain ofrece estos beneficios:
- Mayor transparencia: Los consumidores pueden rastrear el origen y el recorrido de los productos animales, aumentando la confianza y potencialmente abriendo mercados premium.
- Mejora de la seguridad alimentaria: La trazabilidad ayuda a identificar y abordar rápidamente cualquier problema relacionado con la seguridad alimentaria, reduciendo riesgos y mejorando la protección del consumidor.
- Cumplimiento normativo simplificado: Blockchain simplifica el cumplimiento de las regulaciones al proporcionar un registro claro e inalterable de todas las actividades relacionadas con la gestión ganadera.
Practice Abstract 7: Blockchain for Traceability in Livestock Products
Title: Blockchain for Traceability in Livestock Products
Main results:
BIANEXIA has integrated blockchain technology into its livestock management system to ensure traceability of animal products from farm to fork. This technology provides an immutable record of the entire lifecycle of livestock products, enhancing transparency and trust.
Practical recommendations:
Implementing blockchain technology provides these benefits:
- Enhanced transparency: Consumers can trace the origin and journey of animal products, increasing trust and potentially opening up premium markets.
- Improved food safety: Traceability helps in quickly identifying and addressing any issues related to food safety, reducing risks and enhancing consumer protection.
- Streamlined compliance: Blockchain simplifies regulatory compliance by providing a clear and unalterable record of all activities related to livestock management.
Abstract de Práctica 5: Agricultura de Precisión para Ganadería con Integración IoT
Título: Agricultura de Precisión para Ganadería con Integración IoT
Resultados principales:
El proyecto BIANEXIA ha implementado un sistema de agricultura de precisión basado en IoT para mejorar la gestión del ganado. El sistema recopila y analiza datos de varios sensores colocados en los animales y su entorno, proporcionando información en tiempo real sobre su salud, nutrición y comportamiento.
Recomendaciones prácticas:
Implementar este sistema proporciona los siguientes beneficios:
- Mejora en la toma de decisiones: Los agricultores reciben datos precisos sobre la salud y el comportamiento de los animales, lo que permite decisiones informadas que mejoran el bienestar y la productividad del ganado.
- Mayor eficiencia: La automatización de la recopilación de datos reduce el trabajo manual y aumenta la precisión del monitoreo, lo que lleva a una mejor gestión de recursos y ahorros en costos.
- Sostenibilidad: Los datos en tiempo real ayudan a optimizar el uso de alimentos y agua, contribuyendo a prácticas agrícolas más sostenibles.
Practice Abstract 5: Precision Livestock Farming with IoT Integration
Title: Precision Livestock Farming with IoT Integration
Main results:
The BIANEXIA project has implemented an IoT-based precision farming system to enhance livestock management. The system collects and analyzes data from various sensors placed on animals and in their environment, providing real-time insights into their health, nutrition, and behavior.
Practical recommendations:
Implementing this system provides the following benefits:
- Improved decision-making: Farmers receive precise data on animal health and behavior, allowing for informed decisions that improve animal welfare and productivity.
- Enhanced efficiency: Automating data collection reduces labor and increases the accuracy of monitoring, leading to better resource management and cost savings.
- Sustainability: Real-time data helps in optimizing feed and water usage, contributing to more sustainable farming practices.
Practice Abstract 2: Sistema de Alertas Basado en IA para la Gestión Sanitaria y Reproductiva
Título del abstract: AI-Based Alert System for Health and Reproductive Management
Resultados principales:
El sistema de alertas de BIANEXIA utiliza algoritmos de inteligencia artificial para identificar eventos reproductivos, productivos y sanitarios en el ganado y los ciervos.
Recomendaciones prácticas:
Adoptar este sistema ofrece ventajas clave:
- Gestión eficiente de la salud y reproducción: La identificación temprana de problemas permite una gestión más efectiva, reduciendo pérdidas y mejorando la rentabilidad.
- Respuesta proactiva: Los ganaderos pueden actuar antes de que los problemas se agraven, lo cual reduce costos y mejora la productividad.
- Optimización de recursos: El sistema ayuda a tomar decisiones informadas, mejorando la eficiencia operativa y reduciendo desperdicios.
Practice Abstract 2: AI-Based Alert System for Health and Reproductive Management
Title: AI-Based Alert System for Health and Reproductive Management
Main results:
The BIANEXIA alert system uses artificial intelligence algorithms to identify reproductive, productive, and health events in cattle and deer.
Practical recommendations:
Adopting this system offers key advantages:
- Efficient health and reproductive management: Early identification of issues allows for more effective management, reducing losses and improving profitability.
- Proactive response: Farmers can act before problems escalate, reducing costs and improving productivity.
- Resource optimization: The system helps make informed decisions, improving operational efficiency and reducing waste.
Practice Abstract 1: Monitorización en Tiempo Real del Bienestar Animal
Título del abstract: Real-time Monitoring of Animal Welfare in Extensive Livestock Systems
Resultados principales:
El proyecto BIANEXIA ha desarrollado una plataforma que permite la monitorización en tiempo real del bienestar animal en ganaderías extensivas y cinegéticas mediante el uso de collares con GPS, acelerómetros y cámaras de visión artificial.
Recomendaciones prácticas:
Implementar esta plataforma proporciona varios beneficios para los ganaderos:
- Detección temprana de problemas de salud: Los dispositivos detectan signos de malestar o enfermedad de manera temprana, generando alertas automáticas para una intervención rápida.
- Mejora del bienestar animal: La monitorización constante asegura que los animales estén en buen estado, lo cual puede aumentar la productividad y la calidad de los productos.
- Transparencia y confianza: La información sobre el bienestar animal puede ser compartida con los consumidores, mejorando la reputación y el valor de los productos ganaderos.
Practice Abstract 1: Real-time Monitoring of Animal Welfare in Extensive Livestock Systems
Title: Real-time Monitoring of Animal Welfare in Extensive Livestock Systems
Main results:
The BIANEXIA project has developed a platform that enables real-time monitoring of animal welfare in extensive livestock and game systems using GPS collars, accelerometers, and artificial vision cameras.
Practical recommendations:
Implementing this platform provides several benefits for farmers:
- Early detection of health issues: Devices detect signs of discomfort or disease early, generating automatic alerts for quick intervention.
- Improved animal welfare: Continuous monitoring ensures animals are in good condition, which can increase productivity and product quality.
- Transparency and trust: Information about animal welfare can be shared with consumers, enhancing reputation and product value.
Practice Abstract 3: Digitalización del Proceso de Acreditación del Bienestar Animal
Título del abstract: Digitalization of Animal Welfare Certification Process
Resultados principales:
BIANEXIA ha desarrollado protocolos basados en IA e IoT para la acreditación del bienestar animal, proporcionando una evaluación continua y precisa.
Recomendaciones prácticas:
La digitalización del bienestar animal trae varios beneficios:
- Evaluación objetiva y económica: La tecnología permite una acreditación más precisa y menos costosa que los métodos tradicionales.
- Valor añadido a los productos: La transparencia en el bienestar animal aumenta la confianza del consumidor, permitiendo acceder a mercados premium y obtener mejores precios.
- Cumplimiento normativo: Facilita el cumplimiento de regulaciones y requisitos, simplificando la carga administrativa para los ganaderos.
Practice Abstract 3: Digitalization of Animal Welfare Certification Process
Title: Digitalization of Animal Welfare Certification Process
Main results:
BIANEXIA has developed AI and IoT-based protocols for animal welfare certification, providing continuous and precise assessment.
Practical recommendations:
Digitalizing animal welfare offers several benefits:
- Objective and economical evaluation: Technology allows for more accurate and cost-effective certification compared to traditional methods.
- Added value to products: Transparency in animal welfare increases consumer trust, allowing access to premium markets and better prices.
- Regulatory compliance: Facilitates compliance with regulations and requirements, simplifying the administrative burden for farmers.
Abstract de Práctica 8: Vallas Inteligentes para la Gestión del Ganado
Título: Vallas Inteligentes para la Gestión del Ganado
Resultados principales:
El proyecto BIANEXIA ha implementado soluciones de vallas inteligentes que utilizan tecnología GPS y dispositivos IoT para gestionar eficazmente los movimientos del ganado. Estas vallas proporcionan límites virtuales que se pueden ajustar según sea necesario para controlar los patrones de pastoreo.
Recomendaciones prácticas:
Adoptar vallas inteligentes ofrece beneficios significativos:
- Gestión flexible del pastoreo: Los límites virtuales se pueden modificar fácilmente para gestionar las áreas de pastoreo, mejorando la utilización de los pastizales y la salud de los animales.
- Reducción de costos de vallado: Las vallas inteligentes reducen la necesidad de cercas físicas, disminuyendo los costos de instalación y mantenimiento.
- Mayor control y seguridad: Los agricultores pueden monitorear y controlar los movimientos del ganado de forma remota, reduciendo el riesgo de escape o robo y asegurando una mejor protección del ganado.
Practice Abstract 8: Smart Fencing for Livestock Management
Title: Smart Fencing for Livestock Management
Main results:
The BIANEXIA project has implemented smart fencing solutions that use GPS technology and IoT devices to manage livestock movements effectively. These fences provide virtual boundaries that can be adjusted as needed to control grazing patterns.
Practical recommendations:
Adopting smart fencing offers significant benefits:
- Flexible grazing management: Virtual boundaries can be easily modified to manage grazing areas, improving pasture utilization and animal health.
- Reduced fencing costs: Smart fencing reduces the need for physical fences, lowering installation and maintenance costs.
- Enhanced control and security: Farmers can monitor and control livestock movements remotely, reducing the risk of escape or theft and ensuring better protection of livestock.
Abstract de Práctica 6: Drones Autónomos para el Monitoreo del Ganado
Título: Drones Autónomos para el Monitoreo del Ganado
Resultados principales:
BIANEXIA ha desarrollado y desplegado drones equipados con cámaras y sensores para el monitoreo autónomo del ganado. Estos drones proporcionan vigilancia aérea, rastreando el movimiento y la salud del ganado en grandes extensiones de tierra.
Recomendaciones prácticas:
Utilizar estos drones ofrece varias ventajas:
- Cobertura de área amplia: Los drones pueden cubrir áreas extensas rápidamente, proporcionando un monitoreo completo del ganado en grandes pastizales.
- Detección temprana de problemas: Las cámaras de alta resolución y los sensores detectan problemas de salud, lesiones o comportamientos inusuales temprano, permitiendo una intervención rápida.
- Reducción de costos laborales: Los drones autónomos minimizan la necesidad de monitoreo manual, ahorrando tiempo y costos laborales mientras aumentan la eficiencia.
Practice Abstract 6: Autonomous Livestock Monitoring Drones
Title: Autonomous Livestock Monitoring Drones
Main results:
BIANEXIA has developed and deployed drones equipped with cameras and sensors for autonomous livestock monitoring. These drones provide aerial surveillance, tracking the movement and health of livestock across large expanses of land.
Practical recommendations:
Utilizing these drones offers several advantages:
- Wide-area coverage: Drones can cover extensive areas quickly, providing comprehensive monitoring of livestock in large pastures.
- Early detection of issues: High-resolution cameras and sensors detect health issues, injuries, or unusual behavior early, enabling prompt intervention.
- Reduced labor costs: Autonomous drones minimize the need for manual monitoring, saving time and labor costs while increasing efficiency.
Practice Abstract 4: Optimización del Pastoreo con Herramientas de Business Intelligence
Título del abstract: Optimization of Grazing with Business Intelligence Tools
Resultados principales:
La plataforma digital de BIANEXIA integra datos de sensores IoT y satelitales para gestionar eficientemente el pastoreo.
Recomendaciones prácticas:
Utilizar estas herramientas proporciona claras ventajas:
- Mejor uso de los pastizales: Optimiza la gestión del pastoreo, mejorando la producción y la sostenibilidad ambiental.
- Simplificación administrativa: Digitaliza el proceso de acreditación del pastoreo, reduciendo errores y facilitando la obtención de ayudas PAC.
- Aumento de la rentabilidad: La optimización de recursos y la mejora en la gestión contribuyen a una mayor eficiencia y rentabilidad en la producción ganadera.
Practice Abstract 4: Optimization of Grazing with Business Intelligence Tools
Title: Optimization of Grazing with Business Intelligence Tools
Main results:
The BIANEXIA digital platform integrates IoT and satellite data for efficient grazing management.
Practical recommendations:
Using these tools provides clear advantages:
- Better use of pastures: Optimizes grazing management, improving production and environmental sustainability.
- Administrative simplification: Digitalizes the grazing certification process, reducing errors and facilitating PAC aid acquisition.
- Increased profitability: Resource optimization and improved management contribute to greater efficiency and profitability in livestock production.
General Objective: Increase the competitiveness of extensive livestock farming and game estates using AI and precision farming to monitor, manage, and support decision-making.
Specific Objectives:
1. Decision support tool with IoT to improve profitability.
2. Evaluate animal welfare with IoT sensors.
3. Create a real-time alert system.
4. Add value with an intuitive system to inform consumers.
Cross-cutting Objective: Pilot tests in real environments.
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 well-being, optimizing productive and health management through early alerts based on the detection of anomalies. A decision support tool will also be developed that, combining images and IoT data, will improve profitability, reducing losses and increasing reproductive indicators. The information obtained may allow consumers to access reliable information about production conditions, adding value to the agri-food chain and promoting more informed and ethical purchasing decisions. The protocols for monitoring animal welfare and the accreditation system will ensure high standards of health, behavior and comfort in extensive livestock farming and wildlife. Pilot tests in real environments will demonstrate the effectiveness of the solutions, guaranteeing their practical applicability.
Objetivo General: Aumentar la competitividad de la ganadería extensiva y fincas cinegéticas mediante IA y ganadería de precisión para monitorizar, gestionar y apoyar la toma de decisiones.
Objetivos Específicos:
1. Herramienta de apoyo a decisiones con IoT para mejorar rentabilidad.
2. Evaluar bienestar animal con sensores IoT.
3. Crear sistema de alertas en tiempo real.
4. Añadir valor con un sistema intuitivo para informar a consumidores.
Objetivo Transversal: Pruebas piloto en entornos reales
El proyecto BIANEXIA desarrollará una plataforma integral con inteligencia artificial y tecnología IoT para mejorar la competitividad de la ganadería extensiva y las fincas cinegéticas. Esta plataforma permitirá la monitorización en tiempo real del bienestar animal, optimizando la gestión productiva y sanitaria mediante alertas tempranas basadas en la detección de anomalías. También se desarrollará una herramienta de apoyo a la toma de decisiones que, combinando imágenes y datos IoT, mejorará la rentabilidad, reduciendo pérdidas y aumentando indicadores reproductivos. La información obtenida podrá permitir a los consumidores acceder a información confiable sobre las condiciones de producción, añadiendo valor a la cadena agroalimentaria y promoviendo decisiones de compra más informadas y éticas. Los protocolos para la monitorización del bienestar animal y el sistema de acreditación asegurarán altos estándares de salud, comportamiento y confort en la ganadería extensiva y la fauna silvestre. Las pruebas piloto en entornos reales demostrarán la efectividad de las soluciones, garantizando su aplicabilidad práctica.
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