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

ARPA 1 - Qualification of safety systems providing obstacle detection and robot safety functions (ISO 18497:2024 reference obstacle)

We offer a comprehensive testing service to validate the safety functions of autonomous mobile robots and robotic systems. Our tests use a high-precision laser tracker for accuracy to assess your robot's ability to detect and stop when encountering an obstacle, as defined in ISO 18497:2024 (Protocol included in part IV Annex D.2).

These tests, conducted at our Montoldre site in France, will help ensure your robot's compliance with industry safety standards. A representative from your team must be present to assist in configuring and monitoring the system during testing.

ARPA 2 - Qualification of perception systems in harsh environmental conditions (rain, fog, night)

This service tests the performance of on-board detection systems in agricultural robots, focusing on their safety functions under challenging environmental conditions like fog and rain. Conducted at the PAVIN platform in Clermont-Ferrand, France, the tests evaluate sensor accuracy and response, identifying any false negatives or positives. A manufacturer's representative must be present to configure the system and ensure proper operation during testing.

ARPA 3 - Qualification of safety functions ensuring robots keep within their working area (physical or virtual barriers)

This service evaluates the effectiveness of onboard geofencing safety systems in agricultural robots, ensuring they stay within designated work areas as required by ISO 18497:2024. The test involves the robot following various trajectories that challenge boundary limits. High-precision monitoring ensures compliance, with the robot required to enter a safe state if it breaches the boundary. A manufacturer's representative must be present to oversee the process.

ARPA 4 - Qualification of safety systems for human detection and collision avoidance (diverse working environments)

The ARPA 4 test thoroughly evaluates the safety systems of agricultural robots, focusing on their ability to detect human-like obstacles and automatically stop to prevent accidents. It simulates real-world scenarios by positioning mannequins in front of the robot as it moves through artificial crop rows. Using a high-precision laser tracking system, the test measures the robot’s trajectory and speed at our Montoldre site in France. This ensures the robot can safely operate in environments like vineyards or orchards, providing valuable insights into its emergency stop functions and compliance with safety standards. A manufacturer’s representative must oversee the process.

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.

Institut Francais de la Vigne et du Vin (IFV)

Data Analysis for AI Performance Evaluation/Assessment

Location

France

Viticulture

When you’re developing an AI-based solution, you need to assess its accuracy and its reliability. Whether it is for detection or prevision purposes, we can compare the outcomes of AI with ground truth and measure the accuracy of the detection or prevision of an AI-based model. If the model needs improvements, we can provide new datasets; see S00102.

Institut Francais de la Vigne et du Vin (IFV)

Data labelling for AI detection purposes in the vineyard

Location

France

Viticulture

You can provide your own dataset, without labels, or ask us to build the dataset and label it so you can train an AI model. Labelling can be made with your own tools or not, online or offline, it can be segregation or segmentation.

Data augmentation

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