Topic 3D: Part 1 - AI for Agriculture: Precision Farming

Crop identification using optical Sentinel-2 time series. The top image (a) shows the mature growth stage of irrigated maize fields in red, and the early growth stage of flooded rice in brown. The middle image (b) shows developed rice in red areas.

Sylvain Ferrant, et al., 2017

ESA BIC Hessen & Baden Württemberg start-up Spacenus improves precision farming with their Artificial Intelligence (AI) augmented system for automating field geometrics, plant nutrient detection and more.

Spacenus

This is an example of crop-type mapping using Sentinel-1 satellite imagery

Ground truth data: Regional Government of Andalusia. Crop map: contains modified Copernicus Sentinel data (2017), processed by University of Alicante

This animation shows early season crop type classification in the Emmeloord region of the Netherlands in June 2018 based on Copernicus Sentinel-2 data. Green shows summer crops, red: potatoes, orange: vegetables and flowers, yellow: cereals, and blue: grass.

contains modified Copernicus Sentinel data (2018), processed by ESA/GeoVille