Greek Pilot
Pilot Leader
Contributors
Livestock
Pilot's Technology
The AGRARIAN project’s Greek pilot program, as highlighted, confronts significant hurdles faced by livestock breeders in the demanding, mountainous terrains of Crete. The image depicts a “Current Pilot State” where traditional farming methods lead to numerous difficulties. These include the immense struggle for breeders to maintain constant surveillance over large, often dispersed herds, making monitoring an incredibly labor-intensive task. Further compounding these issues are the frequent instances of sheep and goats becoming lost, injured, or trapped in the treacherous landscape, leading to significant animal suffering as injuries often go undetected for prolonged periods. The uncontrolled movement of herds across national roads and road networks also poses risks. The AGRARIAN project’s Greek pilot specifically aims to address these critical problems by leveraging technologies like drones for enhanced livestock tracking and health monitoring. The ambition is to provide small and medium-sized farmers with advanced, targeted services to improve animal welfare, reduce losses, and streamline the overall management of their herds in these challenging environments.
Challenges
Monitoring herds is an incredibly labor-intensive task.
Difficult Terrain
Significant numbers of sheep are lost, injured, or trapped in treacherous terrain.
Livestock breeders struggle to maintain constant surveillance over all members of large herds.
Injured or ailing sheep and goats endure prolonged suffering before their condition is detected.
Open Call Winners on the Pilot
Precision livestock monitoring with AI and IoT tools
PROVATO aims to modernize livestock farming by integrating IoT and AI technologies through edge computing and Non-Geostationary Orbit (NGSO) infrastructure. The project will collect physiological, behavioural, and environmental data using sensors on animals, barns, and smartphones. This information will be combined with external data sources, such as weather services, and processed across edge and cloud layers. The result is meant to give actionable insights and predictive models that will help farmers make informed decisions, improve animal welfare and productivity, and reduce resource use and environmental impact. PROVATO seeks to support the transition to sustainable, precision livestock farming through data-driven innovation.
LAVACAFELIZ
LAVACA project supports Livestock Monitoring and Management general pilot using IoT sensors, GPS, edge computing, and cloud analytics to monitor animals in extensive rural areas. Animals are equipped with devices that collect data on their movement and tracks, temperature, and activity. AI-based models analyze this data to detect anomalies, predict reproductive events, and understand social dynamics within herds. Farmers can access insights via a web interface, enabling real-time tracking, improved animal welfare, and optimized productivity. The system aims at correlating grazing zones with outputs like milk or meat yield, enhancing farm management and productivity through data-driven decisions.
Edge-AI for Lameness DEtection in Ruminants
ELDER delivers an Edge-AI system for real-time detection of lameness in ruminants. It leverages RGB-D cameras and on-device inference and monitors animal movement without wearables or cloud dependency, making it ideal for remote and rugged farm environments. ELDER analyses gait patterns and delivers lameness alerts through a web interface and empowers farmers to intervene early, improving animal welfare and reducing economic loss.
GRAZESENSE
GrazeSense is an all-in-one agricultural application designed to enhance livestock and grazing management through innovative technology and smart practices. Exploiting autonomous swarms of drones and advanced vegetation analysis, GrazeSense is capable of scanning large and diverse areas, detecting and analyzing possible grazing lands based on forage quality and environmental conditions, and proposing the optimum pasture option exposed to a web application. It offers real-time actionable insights via a simple and user-friendly platform, delivering focused information, without overwhelming the herd owners with raw data and unnecessary complexity. GrazeSense also integrates complementary features like herd monitoring and animal counting to offer a holistic solution to farmers.
Methodology
In-Danger Analysis Methods
Health Monitoring Methods
Livestock Application Scenario 1
Monitoring herds is an incredibly labor-intensive task.
Difficult Terrain
Significant numbers of sheep are lost, injured, or trapped in treacherous terrain.
Livestock breeders struggle to maintain constant surveillance over all members of large herds.
Injured or ailing sheep and goats endure prolonged suffering before their condition is detected.
Injured or ailing sheep and goats endure prolonged suffering before their condition is detected.
Benefits of UAVs in Sheep Monitoring
Our Approach
ADSS Platform
Integrates data for real-time decision-making
High-Resolution Cameras
Capture Detailed images for behavior observation
Data Analysis
Provides insights into flock health and patterns
GPS Data & Mapping Software
Enables Precise mapping and tracking