Project description
Detection algorithms for precision agriculture services
Accurate field boundaries and seeded acres are instrumental in precision agriculture services. However, inaccurate cadastral field boundary data lead to wrong critical decisions affecting the entire agricultural value chain. Norwegian start-up DigiFarm has developed a deep-resolution algorithm for Sentinel 2 imagery to increase image resolution by 10x, combined with a deep neural network model that automatically detects field boundaries and seeded acres to power precision agriculture. The EIC-funded CropCloud project will exploit the latest advancements in AI technology and super-resolution of satellite data to improve detection algorithms to achieve greater accuracy than the human eye, resulting in about 15 % higher accuracy than existing solutions.
Objective
DigiFarm detects the world’s most accurate field boundaries and seeded acres to power precision agriculture. Leveraging the latest advancements in Artificial Intelligence technology and super-resolution of Satellite data, our object detection algorithm achieves higher accuracy than the human eye, resulting in 12-15% higher accuracy than existing solutions.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencesphysical sciencesopticsmicroscopysuper resolution microscopy
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionobject detection
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
Programme(s)
Funding Scheme
HORIZON-AG - HORIZON Action Grant Budget-BasedCoordinator
2317 HAMAR
Norway
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.