Vivid Machines received up to CAD 1.7 million through Canada's AgriScience Program to adapt its plant-level imaging and machine-learning platform from apple orchards to vineyards. The project includes camera upgrades and new models for earlier disease detection, fruit-quality tracking, and yield estimation at vine, row, and block level.
GLOBAL IMAGING BRIEF
Analysis: The project shows spectral imaging moving from research demonstrations toward repeatable field workflows tied to farm decisions. Commercial success will depend on model transfer across varieties and climates, sensor calibration under changing illumination, rugged deployment, and whether measured insights produce reliable operational value.
Original source
This brief is an original summary based on the cited public source.