oNe hEalth SusTainabiLity partnership between
EU-AFRICA for food sEcuRity
Fostering One-Health Sustainability through
Advanced Technology
NESTLER is a joint EU-African initiative dedicated to promoting a One-Health sustainable partnership.
This pioneering project integrates interdisciplinary technological advances to holistically monitor the well-being of animals, plants, and humans, building upon the foundations of existing FARM2FORK strategies.
Key Highlights
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Advanced Monitoring Platform: The core of NESTLER is a sophisticated platform that ingests and processes large volumes of data from cutting-edge sources. This includes satellite imagery, video streams from Unmanned Aerial Vehicles (UAVs), and IoT devices.
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AI-Driven Insights: Machine Learning (ML) and Artificial Intelligence (AI) algorithms analyze this data, coupled with Remote Sensing and GIS systems, to extract intuitive insights, conduct large-scale environmental surveillance, and develop predictive models for One-Health sustainability.
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Circular Economy Research: NESTLER drives research into key areas of the circular economy, focusing on the use of insect protein for farmed animal feed and investigating the sustainable impact of animal waste in crop-based farming.
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EU-Africa Collaboration: The project establishes a joint task force to evaluate the economic sustainability of these innovative farming practices, supporting the transition from a linear to a circular economy for sustained growth across both continents.
From Multimedia Streams to Anomaly Deciders:
Full-Stack AI Monitoring for Chicken Flocks, Aquaculture,
and Wild Predator Detection
Within the NESTLER project, Rinisoft developed and implemented a set of AI-powered monitoring systems for domestic animals (poultry), wild animals (predators), and aquaculture (fish).
The goal was to enable early detection of risks, improve animal welfare, and support farm operators with reliable, automated insights based on video and audio data.
Domestic Animal
Health Monitoring System
DAHMS is an intelligent surveillance system designed to protect the health of domestic animals, specifically poultry, by analyzing video and audio data to detect anomalies and provide early warnings.
Aquaculture Health
Monitoring System
The AHMS is a specialized video-based system designed to monitor and evaluate the health and well-being of bottom-dwelling fish stocks, such as sturgeon and Nile tilapia, in aquaculture environments.
Wild Animals
Monitoring System
The WAMS is an automated surveillance system focused on protecting farm perimeters by detecting and classifying wild predators in real-time.
Related
Materials
01.
Project Reports
The documents contain the final reports and results for the OC#2 project entitled [5G-powered Forest Firefighting and Surveillance System] (FOR-5G).
Deliverable 1
Deliverable 2
02.
FOR-5G Fire Detection Dataset
RiniSoft presents a synthetic image dataset of 51 photorealistic wildfire images. Using the FLAME Diffuser mask-guided diffusion framework, the dataset digitally inserts precisely controlled flame regions into high-resolution drone footage to train and improve computer vision models for fire detection and segmentation.
Grant agreement No. 101096452
Call: HORIZON-JU-SNS-2022
Imagine-B5G is a SNS Project that aims to provide an advanced and accessible end-to-end (E2E) 5G platform for large-scale trials and pilots in Europe.