SPADE Open Call #2

UCU-CH1: Swarm Communication and Navigation

UCU-CH2: Open-Source Tilted Rotor Drone System

UCU-CH3: Aerial Image Processing Service

CS1-CH1: ML for based Disease Detection in Mediterranean Crops

CS1-CH2: Open Field Data Collection and Annotation

CS2-CH1: Below-Canopy Forest Data Collection and Annotation

CS2-CH2: Ultralight Self-levelling Landing Gear for Quadrotor Drones

CS3-CH1: Virtual Fencing Application for Livestock Grazing Management

CS3-CH2: Acquiring and Structuring Livestock Open-field Animal Wellbeing/Healthcare Datasets for Training ML Models

SPADE invites applicants who can provide innovative solutions to address the specific challenges presented by each of our three distinct Case Studies.

Furthermore, in addition to the specific challenges of each Case Study, there are three overarching challenges that apply universally across all of SPADE’s Case Studies initiatives. These general challenges have the potential to shape the landscape of drone technology.

SPADE seeks to select and finance one project for each challenge.
Each selected project will have a duration of 6 months. The maximum budget that each project can receive is 60,000 EUR. The selection process will favor proposals demonstrating a higher level of maturity, especially those with the potential to achieve elevated TRLs to effectively address SPADE’s challenges.

Only applicants legally established/resident in an EU Member State or Horizon Europe associated country will be eligible for funding.

No consortium allowed.

The eligible entities by SPADE open call should be legally identified under the following categories of organisations:
• Universities and research centers: academic and research institutions.
• NGOs and foundations: non-profit organizations and foundations with experience in drone applications development.
• SMEs and startups: small and medium-sized enterprises and startups that focus on developing innovative solutions related to SPADE case studies.

For some challenges, full codebase must be made open-source and be thoroughly documented.