Smart robots for sustainable and efficient crop care
The rise of autonomous robots presents new opportunities for more sustainable agriculture, but the lack of standardized programming languages poses a barrier for growers. This project focuses on developing a universal programming language that allows robots like Robot One to be easily deployed and adapted for crop-specific tasks.
Context of Use Case 4
A no-code solution for the agricultural robot of the future
Pixelfarming Robotics has developed an innovative platform for Robot One, an autonomous robot that detects and removes weeds early using laser technology. This platform is based on a no-code/low-code programming language, enabling growers to easily customize their robots without requiring in-depth programming knowledge.
Together with growers, the programming language is being tested and further optimized for various crops and crop treatments. In addition to weed control, the technology focuses on detecting diseases, pests, and plant stress—an important step toward fully autonomous crop care.
"Thanks to a standardized programming language, growers can deploy their robots without any programming knowledge, making precision agriculture more accessible."
Public summaries of Use Case 4
Responsible AI use in autonomous harvesting machines
Contribution to the ecosystem and the sector
A sustainable and scalable future for autonomous farms
This project accelerates the agricultural sector’s transition to a knowledge-based economy and contributes to:
The development of a standardized programming language for autonomous agricultural robots
The sustainability of crop care by replacing chemical pesticides
Market expansion from 10 to 200 autonomous farms, with further growth to 1,000 worldwide by 2029
The immediate deployability of Robot One across various crop types
Deliverables Use Case 4
Acceleration of autonomous and data-driven agriculture
Development and validation of a universal programming language for agricultural robots
Optimization of Robot One for the detection and control of weeds, diseases, and pests
Testing phase in collaboration with growers to refine crop-specific applications
Scaling up autonomous farming operations worldwide
Added value for Human Capital
New skills for a digital agriculture sector
The shift toward autonomous agriculture requires new knowledge and skills from growers and agricultural businesses. This project contributes to that by:
Organizing training sessions and workshops to support growers in implementing autonomous technology
Attracting and educating innovative talent for the development of precision agriculture technologies
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