In the agricultural landscape, the delicate balance between farming operations and wildlife conservation presents a pressing challenge. The mowing of green fodder, a routine agricultural task, often coincides with the presence of fawns, posing a significant risk to their safety and welfare.

To address this challenge, the goal is to develop a reliable system capable of detecting wild animals during mowing operations and automatically raising the mower unit to prevent harm. Additionally, the system aims to minimize the risk of carcass contamination in forage, which can pose serious health hazards to ruminants.

Enter SENSOSAFE, an innovative assistance system designed to detect wildlife during mowing and initiate immediate action to protect vulnerable animals. Whether by automatically raising the mower unit or alerting the driver, SENSOSAFE seeks to minimize the number of fawns injured or killed during agricultural activities, thereby improving overall animal welfare.

The impact of SENSOSAFE is significant and promising. During pilot tests on farms, the system demonstrated an impressive trigger probability of 92%, highlighting its effectiveness in safeguarding wildlife.

The full text of the good practice is available to read and download in PDF format from the AgriSkills 4.0 e-Learning platform, section “Good practices”. You just need to search for it by name using the search box.

You will find additional 45 good practices, initiatives and use cases in the AgriSkills Reference Catalogue titled “AgriSkills Guidebook on Digitalization in Agriculture”.

Cover photo source: Pöttinger, link: :

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. 

Project number: 2021-1-DE02-KA220-VET-000034651

All AgriSkills Intellectual Outputs are Open Educational Resources.

Creative Commons Attribution-Non-Commercial-Share-Alike 4.0 International License.