General Information

• Project Title:

  Autonomous exchange of pull and carried tools with intelligent navigation using AI and Computer vision
• Project Title in the Original Language:

  Autonomní výměna tažených a nesených nástrojů s inteligentním navigováním pomocí Computer vision
• Project No.:

  FY01010097
• Provider:

  MPO - Ministry of Industry and Trade (MPO)
• Programme:

  FY - TWIST (2025 - 2031)
• Start of the Project:

  March 1^st, 2025
• End of the Project:

  February 28^th, 2027

The Goals of the Solution

• The Goals of the Solution:

  The main goal of the project is to achieve a unique technology, which has no comparison so far and surpasses the world parameters of current known solutions, by means of effective cooperation between the principal investigator, TERMS a.s., and another project participant, the University of South Bohemia in České Budějovice. The outcome of the research and development will be a comprehensive autonomous system of autonomous exchange of drawn and carried tools with intelligent navigation using Computer vision for autonomous agricultural robots, specifically for the already existing Roboton Farmer. This system will combine entirely new SW and HW solutions using artificial intelligence, computer vision and advanced mechatronic technology to enable fully autonomous operation without the need for human intervention. This will increase the efficiency and flexibility of autonomous agricultural machinery, helping to optimise cultivation operations, reduce operating costs and minimise environmental impacts.

  The project will develop a prototype “Gprot” called “Autonomous Towed and Carried Tool Exchange System with Intelligent Navigation”, with AI tools, include the 5 sub-outputs:

  1. SW for tool exchange scheduling,
  2. SW & HW for GPS identification of tool location,
  3. Control SW for autonomous driving and approaching the tool according to GPS localization,
  4. SW for tool connection/disconnection using computer vision and
  5. HW for tool connection/disconnection.

  The project addresses key agricultural challenges, including labor shortages, rising costs, and the demand for more sustainable farming methods. It will enable autonomous robots to identify, access, and connect tools without human intervention, revolutionizing smart agriculture.

  This advancement enhances efficiency and adaptability while supporting the RIS3 strategy and Agriculture 4.0. By fostering innovation, the project contributes to the technological development of the agricultural sector.

• Keywords:

  artificial intelligence; software and hardware; AI training; computer vision; smart agriculture; robotics; autonomous technologies and processes in agriculture; self-driving; efficiency; autonomous exchange of towed and carried tools; deep learning

Beneficiary

• Beneficiary:

  TERMS a.s.

• Researcher:

  Petr Kantor

Other Project Participant

• Other Project Participant:

  Univerisity of South Bohemia in České Budějovice / Faculty of Agriculture and Technology
• Researcher:

  doc. RNDr. Petr Bartoš, Ph.D.