Smart Droplets’ main objective is to advance both hardware and software capabilities during chemical applications for resource optimisation and minimisation of chemical waste. It will use existing technologies (>TRL 7) developed within but not limited to the agricultural industry to accomplish this vision to deliver a complete system capable of translating large amounts of data from the field into meaningful information and impactful spraying commands to achieve the Green Deal goals. The road towards achieving the main objective consists of four key objectives. 

1)Innovate using intelligent Data infrastructure and Digital Twins. Data interoperability, storage and exploitation of AI models are crucial to support, monitoring and refining of big amounts of field data. While Digital Twins and AI models play an instrumental role in analyzing field data to recommend spraying strategies.

2)Introduce a robotic solution for autonomous spraying. A retrofit (robotic) tractor and an advanced sprayer will be deployed in real farms to address the challenge of resource optimization and waste minimization, targeting chemical and nutrient over-application and natural resource exploitation during crop care tasks. 

3)Optimize technologies and demonstrate the Green Deal goals in real life environments. Robotic and non- components will be tested and validated, and then progressively deployed in real farms where through data-driven decisions, will demonstrate its ability to attain its goals. 

4)Community building, synergies, and results exploitation. Building a community around Smart Droplets is an integral part of the project as it ensures proper information exchange with relevant stakeholders, outreach to similar communities, and training programs for members while exposing technological and domain-specific constraints. While, result exploitation facilitates productization, adoption, and sustainability.