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Artificial Intelligence and Robotics in Agriculture 2.0

Presentations, simulations, and innovations for smart agriculture throughout the Exhibition.

Booth 11 / Stand 1

In recent years, Artificial Intelligence (AI) has increasingly permeated the agricultural industry, opening new avenues for cultivation skills, while concurrently, robotics has taken on the task of facilitating agricultural work.

The integration of Artificial Intelligence (AI) and robotics has transformed the field of agriculture, bringing about multiple benefits. Automated agricultural machinery and autonomous robotic platforms enable precise resource management, adaptation to changing conditions, and increased productivity. Sensors and monitoring systems provide crucial information about soil, weather conditions, and plant health. This technological progress enhances sustainability, reduces losses, and contributes to the development of an efficient and adaptive agriculture for the future.

As part of Agrotica, the Institute of Bioeconomy and Agro-Technology (iBO) of the National Center for Research and Technological Development (CERTH) will provide interested visitors with the opportunity to engage with new technologies in the field of agriculture. Throughout the exhibition, a series of particularly interesting presentations, simulations, and innovations that utilize real-time applications of the most advanced technologies in artificial intelligence and evolving robotics in digital agriculture are scheduled.

Specifically, in the exhibition space, the following presentations and activities will take place daily:


  • Agricultural ground robotic platforms in collaboration with humans
  • Agricultural drones
  • AI (Artificial Intelligence)

Weed Recognition by Unmanned Ground Vehicle (UGV)

The autonomous robotic platform can navigate autonomously in agricultural environments, following a pre-designed path, while simultaneously recognizing and recording the positions of weeds using Artificial Intelligence. This recognition occurs both along its route and within the cultivation area using hyperspectral and depth cameras.


The weed recognition process in the field will be simulated with the assistance of an artificial turf mat.

Identification of Ground Worker Status by UGV in Collaborative Harvesting Operation.


The worker will be connected to wearables, sending data for motion analysis (utilizing Artificial Intelligence – AI) by the autonomous robotic platform supporting the task.


Recognition of musculoskeletal strain complications in the worker.

Handling of the autonomous robotic platform (UGV) by the worker using neuromuscular movements


Complete remote control with neuromuscular movements of the ground robotic platform using Artificial Intelligence (AI). Additionally, recognition of hazardous situations (worker fall) by the collaborative robotic platform.

Identification and counting of crop rows by a drone (UAV) through a connected Farm Management Information System (FMIS)


An array of sensors will be used to demonstrate the system’s capability to recognize and record the progress of plant growth.

Disease Recognition through UGV and UAV in a Vineyard (using multispectral – hyperspectral cameras) with Artificial Intelligence.


Due to the inability to execute on real plants during the February season, a video will present the system’s functionality.

Recognition of plant stress, combining a weather station and a drone with a thermal camera.


Potted seedlings or a nearby plant at the exhibition will be used to demonstrate the system’s functionality.

Autonomous parking and startup from a parking space for the robotic platform, without supervision.


The ground robotic platform, utilizing artificial intelligence algorithms, will identify targets (parking points) placed at the demonstration site. The robotic platform will autonomously navigate to the parking point, and as it approaches, it will initiate a pre-designed sequence of movements to ensure its safe parking.