Catalogue of Services

Are you looking for a service to validate, test or evaluate your agrifood product? 
Explore our Catalogue to find the perfect service tailored to your needs! 

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AGRIFood Catalogue services

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ARPA 1 - Qualification of safety systems providing obstacle detection and robot safety functions (ISO 18497 reference obstacle)
INRAE
Location
France
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

INRAE offers a comprehensive testing service to validate robot's safety functions in line with ISO 18497:2018. 

Our tests assess robot's ability to detect and stop when encountering obstacles using a high-precision laser tracker for accuracy. These tests, conducted at our Montoldre site in France, will help ensure robot's compliance with industry safety standards. 

A representative from the team must be present to assist in configuring and monitoring the system during testing.

Collection of test data
Performance evaluation
Provision of datasets
Test design
Test setup
Test execution
ARPA 1 - Qualification of safety systems providing obstacle detection and robot safety functions (ISO 18497:2024 reference obstacle)
INRAE
Location
France
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

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 (Protoco 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.

Collection of test data
Performance evaluation
Provision of datasets
Test design
Test execution
Test setup
 ARPA 2 - Qualification of perception systems in harsh environmental conditions (rain, fog, night) 
INRAE
Location
France
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

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.

Collection of test data
Performance evaluation
Provision of datasets
Test design
Test execution
Test setup
ARPA 3 - Qualification of safety functions ensuring robots keep within their working area (physical or virtual barriers)
INRAE
Location
France
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

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. 

Collection of test data
Performance evaluation
Provision of datasets
Test design
Test execution
Test setup
ARPA 4 - Qualification of safety systems for human detection and collision avoidance (diverse working environments)
INRAE
Location
France
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

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.

Collection of test data
Performance evaluation
Provision of datasets
Test design
Test execution
Test setup
Assessment of agricultural potential for emerging technologies in AI & robotics
Josephinum Research
Location
Austria
Remote
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture

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.

Desk assessment
Market research
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.

AI model training
Data analysis
Data augmentation to optimise AI model training and prevent the model from overfitting
Josephinum Research
Location
Austria
Remote
Arable farming
Horticulture
Livestock farming
Tree Crops
Viticulture

In preparing image or sensor data, pre-processing is crucial. We apply techniques like normalisation for data uniformity and correlation analysis to uncover patterns, enhancing interpretability. Dimension reduction optimises computational efficiency, while adding randomised noise and artificial expansion improves model generalisation. We implement anonymisation to protect data privacy and ensure precise data labelling for supervised learning. These methods, tailored to your needs, enhance your data's quality and usability.

Data augmentation
Data labelling for AI detection purposes in the vineyard
Institut Français de la Vigne et du Vin - IFV
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
Dataset Generation Based on Agronomic Simulation Models
ARVALIS
Location
France
Remote
Arable farming

Our Agronomic Model-Based Dataset Generation service provides agricultural data derived from our internally developed agronomic models, designed and validated by our experts using experimental data. By simulating real-world agricultural conditions, we generate key insights such as growth stage dates for cereals, biomass production, nitrogen requirements, and carbon sequestration, offering highly reliable datasets to support crop modelling, soil analysis, climate impact assessment, and precision agriculture.

Provision of datasets
Design of Experimental Protocols for Agricultural Applications Using AI Technology or Robotics
ARVALIS
Location
France
Arable farming

Our service offers expertise in the design and implementation of experimental protocols for agricultural applications, ensuring scientific rigor, reliability, and reproducibility. Whether evaluating new agricultural products, testing measurement instruments, or optimising farming practices, we help clients develop tailored protocols that align with industry standards and research best practices. Our experts provide methodological guidance, data collection strategies, and statistical analysis recommendations, enabling clients to generate accurate and meaningful results. By leveraging our expertise, agribusinesses and technology developers can enhance the credibility of their evaluations, accelerate innovation, and optimise decision-making in agricultural research and development.

Collection of test data
People training
Performance evaluation
Test design
Test execution
Test setup
Evaluation of Automatic Machines and Agricultural Robots
ARVALIS
Location
France
Arable farming

We provide in-depth physical testing services for autonomous and semi-autonomous devices designed for agricultural applications such as irrigation, pest management, and weed control, with a focus on arable crops, specifically cereals, forage, flax, and potatoes. Our service evaluates multiple aspects of hardware performance under real-world farming conditions, including accuracy in task execution, reliability and consistency of results, and potential economic impact through cost savings and efficiency gains. Additionally, we assess the machine’s behaviour in real-world settings as well as its adaptability to various pedoclimatic conditions and finally its agronomic impact to ensure alignment with sustainable and productive farming practices.

Collection of test data
Performance evaluation
Test design
Test execution
Test setup
No result