ROSEAU

RObotics SEnsorimotor loops to weed AUtonomously

The project

The ROSEAU project aims to develop tools to carry out in-row weed control operations.

These tools act on three components (perception/decision/action), which are the three fundamental concepts of sensorimotor loops. Sensorimotor loops are control loops that link the sensors (“sensori…”) to the actuators (“…motors”) via multi-level decision layers, ranging from reflexes (very fast loops, in the region of one hundredth of a second) to detailed thoughts (which can take several hours).

The objective of ROSEAU is to apply this framework to in-row weed control operations, with tools ranging from detection/eradication of weeds on the fly, through weed proliferation and intervention windows, to optimisation of farming methods.

The consortium

The ROSEAU consortium is made up of five partners.

SITIA

SITIA develops and integrates innovative robotic solutions in order to make R&D a reality. Through its Factory and Offroad branches, SITIA’s projects are carried out by a team of academics and engineers combining all of the skills of robotics, over 20 years’ experience and detailed knowledge of cutting-edge technology (several publications and patents relating to all-terrain robotics).

Useful links: PUMAGRI platform, Video 1, Video 2

AgroEcologie Mixed Research Unit

UMR AgroEcologie associates INRA and the University of Bourgogne and AgroSup Dijon. The “Precision Agriculture” Group working on ROSEAU focuses on crop field characterisation in order to reduce the use of chemical inputs and develop innovative agricultural equipment. The dual aim is to provide new management practices with decision-making tools and design innovative, environmentally friendly systems.

IRSEEM - Esigelec

IRSEEM (Institut de Recherche de Systèmes Electroniques Embarqués, Embedded Electronic System Research Institute) was created in 2001 within ESIGELEC. It combines electronics, automation, signal and image processing, network and telecommunications expertise to find innovative, sustainable responses to the challenges of embedded electronic systems, which are increasingly used in the objects and projects around us.

Link to the ARGOS challenge

Brittany Regional Chamber of Agriculture

The Brittany Regional Chamber of Agriculture employs 600 engineers and technicians working to support farmers. The regional applied research department employs 55 specialist engineers and has seven experimental stations covering plant and livestock production, with the main tasks of innovating, distributing references, providing technical support to farmers, and representing farmers’ interests around the world.

Pays de Loire Regional Chamber of Agriculture

The Pays de Loire Regional Chamber of Agriculture is a public body that represents regional farmers and the rural community. It has a technical role, providing a wide range of services to farmers and rural stakeholders. CRAPdL manages the DERVAL experimental farm, which is a showcase for digital farming, forming part of the French DigiFermes® network, and will be the testing ground for the ROSEAU project. The farm is also closely linked to the Nozay Centre régional AgroEquipment (regional agricultural equipment centre) and its precision agriculture expertise.

Scientific and Technical Committee

In order to increase its relevance and scope, the ROSEAU consortium will be supported by a Scientific and Technical Committee made up of experts in farming practices and customs and human science.

The ROSEAU solution

Detection

  • Multi-scale perception: from a drone and from a terrestrial mobile robot
  • Cameras: Use of cameras sensitive in the visible and infrared ranges
  • Processing: Detection of plants and weeds via image processing and learning algorithms. Aim to extend to distinguishing the weed family and its development to improve decisions.

Decision

  • On the basis of drone detection: Use of a simulator to optimise robot intervention according to weather intervention windows and weed proliferation and type.
  • On the basis of terrestrial robot detection: during intervention, action decision and generation of mechanical tool or spray trajectory to eliminate weeds locally.

Action

  • Weed control action: adaptation and development of mechanical and chemical in-row weed control tools.
  • Intervention: autonomous robot navigation adapted in real time to the working requirements of the tool in use.
  • Robot behaviour: robust effectiveness of robot autonomous decision-making for efficiency in farming contexts.

Funded research projects

BIPBIP

Tool-block and precision imaging for early intra-row hoeing

View Project

PEAD

Perception and autonomous crop hoeing in sustainable agriculture

View Project

ROSEAU

RObotics SEnsorimotor loops to weed AUtonomously

View Project

WeedElec

Localised weeding robot using a high-voltage electrical method combined with predictive management and post-evaluation via drone-mounted hyperspectral vision

View Project

Co-financed by

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