Catalogue of Services

The service focuses on utilising artificial intelligence (AI) and visual recognition technology to enhance quality assurance, consistency, and efficiency in the agri-food industry. Its AI-driven quality assessment solutions ensure that products meet industry standards, regulatory requirements, and consumer expectations. By identifying deviations from quality standards, the service enables proactive quality control, reducing the risk of product recalls or rejections.

Data augmentation

Blockchain in agriculture traceability systems

The service focuses on testing and developing blockchain technologies to enhance traceability in the agri-food sector. By integrating blockchain with IoT devices, the service ensures a transparent and immutable record of transactions across the entire supply chain. This enables agri-food companies to improve transparency, accountability, and trust while ensuring the integrity and safety of food products. Additionally, it drives efficiency and sustainability throughout the supply chain.

Business modelling

Cybersecurity

Cold chain monitoring

The service focuses on developing and testing devices that ensure proper temperature conditions during the conservation and transportation of agri-food products. These devices capture and store temperature data throughout the process, offering reliable validation of temperature control. Additionally, the service provides advanced data analysis and reporting to help farmers and agri-food operators assess compliance, identify areas for improvement, and meet regulatory requirements.

Business modelling

Combating forgery in the agri-food chain

The service focuses on developing customised holographic technology to fight the counterfeiting of agricultural products. It provides a tailored security system using advanced holograms that strengthens product integrity, builds consumer trust, and supports the broader goal of safeguarding the agri-food sector from fraud.

Data Analysis for Smart Irrigation Systems

This service allows companies to experiment with real-time data and advanced analytics to improve water management, reduce waste, and enhance crop yield. The service includes comprehensive testing and evaluation to ensure compatibility and performance, ensuring efficient irrigation practices and sustainability through insights into soil moisture, weather conditions, and plant water needs.

Experimentation implementing robotics in agricultural processes

This pilot service focuses on the integration of robotic systems into agricultural processes, enabling the automation of key tasks such as planting, harvesting, and crop monitoring. By combining robotics with advanced software, this service improves operational efficiency, reduces labor costs, and enhances the precision of agricultural tasks. The integration ensures that robotic systems work seamlessly within existing workflows and provide consistent, high-quality performance.

Test setup

Experimentation with Artificial Intelligence for Agricultural Optimisation

This service applies artificial intelligence (AI) algorithms to process and analyse large datasets collected from agricultural operations. By leveraging machine learning and data analytics, the service generates predictive insights about crop needs, such as water, fertilizer, and pest control, allowing for more accurate and efficient resource use. The AI-driven approach helps farmers and agribusinesses optimise their production processes, reduce waste, and improve yields by making data-driven decisions.

Improve energy efficiency along agricultural value chains

The service provides tailored testing and implementation support for smart energy monitoring, IoT solar sensors, and energy management systems designed for agri-food companies, helping them reduce costs, improve energy efficiency, and support sustainability.

IoT weather predictive models and greenhouse gas emissions from agriculture

The service offers specialised support in developing and testing IoT solutions for agricultural weather monitoring and forecasting. Aimed at AgriTech companies, it leverages advanced technology to help farmers better understand and respond to climate-related challenges. By enhancing real-time weather insights, the service empowers informed decision-making and promotes greater resilience in agricultural practices.

Business modelling

Optimised Irrigation Scheduling for Smart Agriculture

This experimental service offers agrotech companies customised irrigation schedules based on real-time and historical data analysis. By taking into account soil moisture levels, weather conditions, and crop requirements, the service generates irrigation plans that improve efficiency and crop yields. The service delivers detailed reports with actionable insights, ensuring that water is used efficiently without compromising crop health.

Performance Data Collection for Agricultural Technologies

This experimental service involves monitoring and collecting performance data from newly implemented technologies in agricultural production environments. Data is collected in real-time or at regular intervals, capturing key metrics such as water or energy usage, production yield, and overall efficiency. This data helps in evaluating the system’s performance and provides valuable insights for further optimisation and decision-making.

Test setup

Performance Evaluation and Efficiency Measurement Experimenting with Different Agricultural Technologies

This service evaluates the performance of newly implemented agricultural technologies by analysing key performance metrics such as resource usage, production yield, and cost savings. The evaluation compares the technology's projected benefits against real-world performance data, identifying areas where the system is performing well and areas where improvements can be made. The goal is to provide a clear picture of the technology's effectiveness and its impact on the overall production process.