Services

Our service is designed to assist clients in identifying and evaluating potential agricultural applications for AI or robotics technologies originally developed for other sectors. Clients can provide detailed information about their technology, including its current applications and technical specifications. Our expert team will conduct extensive research to identify possible use cases related to the agricultural and food production sector, analysing factors such as feasibility, potential benefits, and relevance to current agricultural challenges. The tools used for this work will depend on the use case and may include, for example, online research as well as expert interviews. The customer will receive the results as a comprehensive report outlining the identified potential applications, adoptions needed and an assessment of their relevance and impact within the agricultural sector. This service enables clients to explore new markets and adapt their technologies to meet the evolving needs of modern agriculture.

This service offers an in-depth evaluation of the environmental impact of digital technologies in agriculture, focusing on key areas such as resource efficiency, production sufficiency, ecological resilience, and animal welfare. Through script-based expert assessments and detailed environmental matrices, it systematically analyses the sustainability of each technology. The goal is to provide clear insights and guidance for adopting environmentally responsible agricultural practices.

We are committed to promoting sustainable livestock production through the use of data. Benefit from great flexibility and customised solutions to accelerate your product development: Video, images, sensor data and more from all areas of animal production, sourced from our research barns or an extensive network of pilot farms. Choose from raw, unprocessed data or processed datasets that are ready to use. Please contact us with your specific requirements.

This follow-up service supports clients who, based on a prior assessment or internal selection, want to explore a specific AI or robotics use case in greater depth. It focuses on understanding the conditions under which the selected use case could be applied in agriculture. Our team performs a structured feasibility analysis considering technical, organisational, and sector-specific factors. This includes evaluating compatibility with agricultural processes, identifying potential barriers to adoption, and estimating the expected added value. The goal is to provide the client with a clearer picture of what successful implementation would require and which factors might influence success or failure. The deliverable is a detailed report with insights, risks, and recommendations, supporting further internal evaluation and strategic planning.

Evaluating a health monitoring system for cattle using visual observation involves comparing the data from the system with direct observations of the cattle. This can include noting behaviours like eating, drinking, resting, or movement patterns and correlating these with the data provided by the system, such as activity levels or physiological signs. Observations are carried out systematically and cover various times and conditions. This process helps verify the accuracy of the monitoring system and assesses its effectiveness in detecting health and behavioural changes in cattle.

Testing of the ability of rumen bolus sensors to measure ruminal motility using a pressure transducer in rumen-fistulated cows. This service is designed for companies developing cattle health technologies, providing reliable, scientific validation of sensor performance. Our approach ensures that bolus sensors accurately measure rumen motility, essential for assessing cattle health and feed efficiency.

This specialised service offers comprehensive evaluation of heat detection systems in dairy cattle, utilising milk progesterone testing. The process involves systematic collection and analysis of milk samples to establish progesterone profiles, correlating these with data from existing heat detection technologies. This method provides an objective, scientifically rigorous assessment of the system's accuracy in identifying oestrus events, crucial for enhancing reproductive management in dairy herds. The service is designed to support enterprises in validating and optimising their cattle reproductive health monitoring systems.