Catalogue of Services

Our service is tailored to support AI technology providers, particularly in robotics and drone sectors, focusing on agricultural applications. We identify AI technologies that boost agricultural efficiency and productivity and offer integration support for embedding AI into agricultural robotics, drones, and precision machinery. Our guidance includes selecting effective AI tools and algorithms for specific agricultural challenges. Additionally, we offer comprehensive screening of AI technologies for agricultural relevance, which supports the company’s seamless integration of AI into existing equipment.

AI model training

Desk assessment

People training

Custom AI-Optimized Testing Protocol Design for Agricultural Solutions

We specialise in designing comprehensive testing protocols for the physical testing of customer solutions in the agricultural sector. Our approach focuses on creating consistent procedures that enhance the precision of AI models developed from the collected data. These protocols are carefully crafted to meet individual customer and project needs, incorporating requirements for both laboratory and field testing scenarios. We prioritise automation in data collection to ensure consistent and repeatable testing procedures, which is crucial for high-quality data collection. This service bridges the gap between physical testing and AI model development, providing a solid foundation for advancing agricultural technologies.

Data Collection for Advanced Agricultural Environmental Monitoring and Analysis Systems

We offer cutting-edge technical systems, both hardware and software, along with expert knowledge for collecting and analysing relevant environmental data during agricultural testing. Our service emphasises the use of standardised protocols to ensure enhanced accuracy and efficiency. We provide a comprehensive suite of monitoring and analysis tools, including methane detection systems, PTR-MS for volatile organic compound analysis, GHG measurement using CRDS technology, and automated climate data collection using IoT sensors and AI algorithms. These advanced systems enable precise environmental monitoring and data analysis for agricultural research and development.

AI model training

Certification

Conformity assessment

Data augmentation

Provision of datasets

Life Cycle Assessment (LCA) for Agriculture Robots

Life Cycle Assessment (LCA) for Agriculture Robots is a comprehensive evaluation method that assesses environmental impacts at every stage of a robot’s lifecycle—starting from raw material extraction, manufacturing, utilization, and ending with disposal or recycling. This service provides valuable insights into energy consumption, waste generation, and other environmental factors, helping customers identify key areas for improvement. By promoting sustainability and eco-efficiency, LCA supports decision-making for reducing ecological footprints and ensuring compliance with sustainability standards such as Frugal AI requirements. The service is tailored to meet diverse customer needs, enabling them to understand and optimize the environmental performance of their robotic technologies.

LCA assessment

Safety and Regulatory Testing for Agricultural Robotics

This service offers a thorough examination of agricultural robots, focusing on safety validation under diverse operational conditions. It tests stopping distances and response times for mobile robots across various speeds and payloads. Regulatory compliance is assessed to ensure adherence to industry standards. The service utilizes a controlled testing environment that simulates agricultural field conditions, equipped with measurement tools to analyze stopping distances and robot dynamics. Parameters can be adjusted to test different speeds, payloads, and environmental factors, minimizing risks and enhancing reliability in dynamic farm environments.

Conformity assessment

Testing AI Solutions for Precision Agriculture

This service focuses on testing and experimenting with AI solutions specifically designed for agricultural applications. It aids companies in robotics and drones by facilitating the implementation and deployment of advanced technologies in farming and food processing environments. The service includes the evaluation of new sensors and algorithms that enhance localisation and positioning, crucial for precise agricultural operations. We offer testing and validation of AI-driven solutions for precision agriculture, support for implementing robotics and AI in agricultural practices, optimisation of sensor and algorithm performance for enhanced crop monitoring and yield prediction, and deployment of drones for aerial surveillance and data collection on large farms.

AI model training

Testing and Validation of AI-based Agri-tech Technologies with Drones

The service focuses on testing and validating AI-based agri-tech technologies using drones. Drones equipped with advanced RGB and spectral cameras provide detailed area overviews and precise measurements of plant and tree growth and stress levels. This can include biomass determination, growth model development, yield potential assessment, plant cover evaluation, individual plant counting, damage assessments, and disease stress symptom identification. Our expertise lies in leveraging high-precision multi- and hyperspectral cameras in field trials to obtain "ground truth" data, essential for model validation. We transform drone data into actionable insights through AI analysis, agronomic expertise, web programming, and mathematical modelling.

Desk assessment

Testing and validation using pilot and lab-scale test beds for agricultural AI solutions

This service involves deploying AI models in authentic agricultural environments to validate their predictions against real-world data. The process includes field deployment where AI models are integrated with drones or other data collection systems. Ground truth data is collected using manual measurements or industry-standard equipment, serving as a benchmark for accuracy evaluation. Models are compared against this data to assess performance and robustness across various conditions. If required, a feedback loop can be established to refine models based on discrepancies found, ensuring continuous improvement and reliable predictions for agricultural decision-making.

Desk assessment

Testing and validation using pilot and lab scale test beds for agricultural AI solutions

Our pilot and lab scale testbeds provide a controlled environment for customers to execute physical tests of their agricultural technology, machines, or algorithms. These testbeds can be configured to simulate real-world agricultural environments, allowing for precise control and monitoring of variables. This setup enables AI models to be trained and refined using accurate, real-time data. The testbeds incorporate automation to mimic various agricultural tasks, offering a comprehensive platform for testing and optimising AI-driven agricultural solutions. This service bridges the gap between theoretical development and practical application in the agricultural sector.