Maintaining a healthy environment for aquatic life is a complex challenge. At the heart of modern, sustainable aquaculture is the ability to understand what is happening beneath the water’s surface - long before problems become visible. The Fish Health Monitoring System developed by RiniSoft  within the framework of the NESTLER project , addresses this challenge by combining artificial intelligence and computer vision to provide continuous, 24/7 monitoring of fish populations

Operating a free-range poultry farm offers substantial rewards, yet it presents a significant challenge: protecting the flock from wild predators. Due to increasing public demand for higher animal welfare standards, farms are permitting chickens to roam more freely. Consequently, the birds are exposed to a greater threat from animals such as foxes, martens, and birds of prey. For agricultural producers, losses attributed to predation are not merely distressing - they constitu

The partners of the NESTLER project convened for a hybrid meeting to discuss project developments and strategic progress. The plenary meeting took place on December 19, 2025. The meeting provided an excellent opportunity to review progress across all work packages, address key implementation challenges, and align on upcoming milestones. Project partners presented the results achieved so far and outlined the next steps to ensure the successful completion of the NESTLER initiat

Rinisoft Ltd. (Bulgaria) and Correlation Systems Ltd. (Israel)  successfully completed its participation in  IMAGINE-B5G Open Call 2, testing a comprehensive solution for combating forest fires at the French facility over a 12-month period. The trials demonstrated that 5G-powered FORest Firefighting (FOR-5G)  can transform firefighting by leveraging 5G technology to enable direct communication between command centers and drones, and between incident management teams and on-th

The partners of the NESTLER project convened for a two-day hybrid meeting to discuss project developments and strategic progress. The seventh plenary meeting, hosted by RINIS in Sofia, Bulgaria, took place on October 8–9, 2025. The meeting provided an excellent opportunity to review progress across all work packages, address key implementation challenges, and align on upcoming milestones. Project partners presented the results achieved so far and outlined the next steps to en

Spotting problems early can make all the difference - whether in our daily lives or in managing the health of animals on a farm. In modern agriculture, keeping livestock healthy isn’t just about checking animals by eye anymore; new technologies are helping farmers detect health issues faster and more accurately. One exciting development is using sound to monitor poultry. Chickens - and birds in general -communicate through vocalizations, and subtle changes in these sounds can

The 1st Advisory Board meeting for NESTLER was held online on the 5th of March 2025. It was attended by external advisory board members and the consortium partners. The advisory board consists of four external experts, namely Prof. C. Egesi, Prof. D. Ladakis, Dr. E. Baafi and Mr. D. Skias. The project coordinator welcomed the attendees and presented an overview of the project. The NESTLER consortium provided a detailed presentation of the project’s objectives, ongoing and upc

NESTLER has released the ‘’Wild Animal Recognition Video Dataset’’, created as part of the project’s activities. This dataset is designed to support research in wildlife monitoring, computer vision, and AI-driven animal recognition. About the Dataset : The dataset contains video recordings of four animal species: Foxes, Jackals, Ravens, Vultures. Captured using RGB and InfraRed sensor cameras, the dataset includes both daytime and nighttime footage, making it valuable for var