Smart Droplets

Accelerating the achievement of EU Green Deal Goals for pesticide and fertilizer reduction through AI, data and robotic technologies

Due to a lack of a holistic approach combining physical and digital assets for optimal field performance and minimum environmental impact, AI models, data and autonomous robotic systems in crop care tasks have not reached a mature technological level. The conventional spraying methods result in excessive pesticide and fertilizer use, posing severe environmental impact - being responsible for soil, water and air pollution, and harming non-target plants, insects, animals and humans. Smart Droplets’ main objective is to advance both hardware and software capabilities to deliver a holistic system capable of translating large amounts of data into meaningful information and impactful spraying commands on the field. To demonstrate substantial impact on the Green Deal, Smart Droplets will implement Autonomous retrofit tractors with Direct Injection System (DIS) for intelligent spraying - avoiding exposure of farmers to hazardous chemicals. Through the combination of high-level technologies (>TRL 7), Smart Droplets adopts a hybrid approach for spraying operations, combining Data/AI/Digital Farm Twin technologies designed to translate data into actionable information, and real-time data collected from Field demonstrators evaluating and demonstrating optimised technologies in the real environments. Smart Droplets will exploit synergies with relevant stakeholders, and intensify Community & Capacity building through dedicated training programs designed for non-expert users of AI, data and robotics systems. The Smart Droplets Consortium consists of all agricultural AI, data and robotics value chain actors, and is well balanced in terms of expertise, entity type, and geographical distribution necessary to meet its objectives. Smart Droplets will demonstrate how autonomous robotic platforms, innovative spraying, digital twin and AI models, can deliver environmental, economic, regulatory, business, scientific, and societal benefits, assisting in the achievement of Green Deal goals.

Project ID

101070496

Funding period

1 September 2022 - 28 February 2026

Total budget

€3,175,475.25

EU contribution

€2,998,370.00

Funding programme

Horizon Europe

Call for proposals

HORIZON-CL4-2021-DIGITAL-EMERGING-01

Type of action

Innovation Actions

Type of stakeholder

End-users (farmers, farmers’ associations & cooperatives), agronomists & advisors, agri-food technology manufacturers, AI/Data/Robotics providers, AI, Data and Robotics DIHs, Policy Makers & Standardisation Bodies

Project contribution to Mission Soil’s:

Specific objectives

  • 1. Reduce land degradation relating to desertification
    Not targeted
  • 2. Conserve and increase soil organic carbon stocks
    Not targeted
  • 3. No net soil sealing and increase the reuse of urban soils
    Not targeted
  • 4. Reduce soil pollution and enhance restoration
    Targeted
  • 5. Prevent erosion
    Not targeted
  • 6. Improve soil structure to enhance habitat quality for soil biota and crops
    Not targeted
  • 7. Reduce the EU global footprint on soils
    Not targeted
  • 8. Increase soil literacy in society across Member States
    Not targeted

Operational objectives

  • 1. Build capacities and the knowledge base for soil stewardship
    Targeted
  • 2. Co-create and upscale place-based innovations to improve soil health in all places
    Partially targeted
  • 3. Develop an integrated EU soil monitoring system and track progress towards soil health
    Not targeted
  • 4. Engage with the soil user community and society at large
    Partially targeted

Innovation hotspots

  • 1. Carbon farming
    Not targeted
  • 2. Soil pollution and restoration
    Targeted
  • 3. Soil biodiversity including the microbiome
    Not targeted
  • 4. Circular economy solutions
    Not targeted

Cross-cutting dimensions

  • 1. Business
    Targeted
  • 2. Digital
    Targeted
  • 3. Territorial
    Not targeted
  • 4. International
    Not targeted

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