Project Description

Measurements of fruit ripening

Detection of chemical agents (ripeness and pesticides) and ripeness levels in fruit using multi-spectral imaging and machine learning. A low cost, high accuracy and non-destructive method usable in mobile field environments, where current methods are expert- and/or lab-intensive.
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