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Welcome to the Smart Droplets Best Practice Portfolio. Over the past four years, our consortium has moved beyond theoretical research to validate a fully autonomous retrofitting solution in real-world environments.
This portfolio represents our legacy to the agricultural community. It collects our open-source code, field-validated operational protocols, safety recommendations, and scientific findings. Whether you are a developer looking to integrate our AI, a farmer considering retrofitting, or a policymaker shaping the future of AgTech, these resources provide the blueprint for the next generation of sustainable agriculture.
For System Integrators, AI Engineers, and OEMs.
We have released 9 public repositories containing the essential building blocks for the Smart Droplets ecosystem.
For Agronomists, Farmers, and Cooperatives.
The technology has been tested in two contrasting environments: the dense canopy of Apple Orchards in Catalonia (Spain) and the open-field reality of Wheat Farming in Lithuania. These resources prove the system’s versatility across different cropping systems.
Concise, practical guides designed for the end-user. These one-pagers strip away the jargon and explain exactly how to install, calibrate, and maintain the hardware.
Best practices for managing the Direct Injection System. Learn how to configure tank pressures and manage real-time mixing to ensure precise “spot spraying” without clogging or contamination.
For Regulators, Safety Inspectors, and Standardization Bodies.
Retrofitting legacy machinery presents unique safety challenges not fully covered by current regulations. We are actively contributing to the evolution of EU safety standards.
An analysis of the gaps in ISO 18497 (Safety of Autonomous Machinery) regarding the retrofitting of older tractors. This brief outlines our recommendations for certifying “Non-Invasive” actuation systems and defining Safe States for mechanical diesel engines.
For Researchers, Students, and the General Public.
Ensuring the longevity of our results through education and scientific rigor.
Go behind the scenes with the engineers, agronomists, and data scientists who built the system. Listen to candid discussions about the challenges of GPS-denied navigation and the future of AI in farming.
The peer-reviewed science that validates our approach. Access our library of Open Access papers published by Wageningen University (WU) and the Agricultural University of Athens (AUA).
The technology is only as good as the operator. Access our full suite of open training modules designed to upskill the agricultural workforce in handling autonomous systems.
