New research shows how a combination of imagery from mobile phones, drones and satellites can be used to clamp down on banana threats. The images of varying resolutions are fed into a platform “trained” through machine learning to identify banana crops and analyze threats with 97% overall accuracy. The findings were published in the ISPRS Journal of Photogrammetry and Remote Sensing.
Click here for original story, Aerial images detect and track food security threats for millions of African farmers
Source: Phys.org