AI & Robotics Algorithms

The CEMOB Bench is dedicated to enhancing the efficiency of spreading processes by optimising both machines and products, such as granules and compost. The CEMOB research bench accurately measures and characterises spreader sheets using traditional transverse measurement methods. The 3D measurements enable detailed analysis of spreading performance, including mapping ground distribution and assessing homogeneity. CEMOB also allows the evaluation of a product’s suitability for wide-area spreading and the impact of optimised spreading devices.

The CEMIB rotating test bench, patented by INRAE, is a high-performance device for measuring the distribution of granular products (fertilisers). It enables quick, reliable, and cost-effective evaluation of spreading patterns. CEMIB scans the spread pattern, angular sector by angular sector, using around 90 sensors recorded at 10 Hz by a synchronous system. It provides precise, disturbance-free measurements of fertiliser distribution in grams/m² and reliable data on projection range and angles.

The experimental plots to study machine-soil interaction offer advanced tools to study machine-soil interactions. The MONROE system measures the efficiency of agricultural tires and machines, assessing traction and soil compaction under various conditions, including tire type, pressure, and soil characteristics. It uses constant torque and traction force methods alongside additional measurements of effort, torque, angular velocity, and actual speed. The SoilXplorer tool provides electromagnetic response maps of soil, based on texture and moisture levels.

The experimental plots for alternative weed control consist of a 4-hectare field, with additional areas available. Depending on the experimental needs, the site is equipped with advanced technology for data capture of soil and plants, an electric power supply using an electric generator for the computer units and charging for electric weeding solutions, as well as remote monitoring of crops and the environment via wireless sensors and a field meteorological station.

The Off-road vehicle and robot mobility tracks in Allier (France) feature advanced testing infrastructure developed by INRAE-TSCF-AGROTECHNOPÔLE for mobile machines and vehicles. The facility offers numerous accessories, including obstacles like mannequins and natural or artificial hedges. The cross-shaped track allows testing from various cardinal points and orientations relative to the sun. Additionally, the inclined profiles enable testing of agricultural machinery on different slope gradients.

The ex situ germplasm collection includes more than 2,000 genotypes (unique genetic profiles), represented by 1-20 accessions per genotype. Accessions differ according to their origin and/or by distinctive phenotypic characters (e.g., colour of the berry). - Genetic and phenotypic database The FEMVitisDB is being developed to make the list of genotypes present in the FEM grapevine germplasm collection available for consultation. The database collects the genetic profiles and phenotypic characteristics of each accession.

The facility offers, on behalf of third parties or as a scientific collaboration with industrial and research partners, the study of technologically inducible variability during the different stages of vinification in relation to molecules or phenomena with the capacity to impact wine from a qualitative sensory point of view. Musts and wines are obtained according to procedures adapted to be functional to the objectives of the various oenological and viticultural-agronomic experiments, as well as oeno-chemical and sensory evaluations.

In 2021, an experimental vineyard dedicated to precision agriculture was built within the campus of the Fondazione Edmund Mach at the “Molini” location, which will host innovative research and experimentation activities in the field of digital agriculture in the coming years. The vineyard 4.0 was developed to facilitate installation, powering, and data transmission by prototypes developed both by FEM and by national or international companies and research organisations.

It excels in soil and crop characterisation through advanced 3D mapping and field scanning techniques. The lab employs a variety of sensors and imaging tools to assess vegetation health and soil conditions, enabling precise measurements of geometric and structural parameters. Key features include remote sensing drones for aerial imaging, precision phytosanitary applicators, and variable-rate sprayers designed to optimise fertiliser and pesticide application.

INRIA has access to a 100 m x 100 m reconfigurable outdoor facility located at AzurArena in Antibes, ideal for conducting experiments involving Autonomous Vehicles (AVs), Autonomous Ground Robots (AGRs), and Unmanned Aerial Vehicles (UAVs). The site can be equipped with a 4G/5G communication network, enabling real-time connectivity and coordination across multiple robotic platforms. Its open and adaptable layout makes it suitable for both individual and collaborative autonomous system testing.