A Thermovision Assessment Method of Quality for Oily Seeds (Cannabis Sativa L.)

Abstract

Conditioning the harvested seeds is of great importance for plants with uneven seed development since all the stages of seed maturity are found on the harvested bulk mass. The seeds’ classification raises difficulties since the color or shape parameter is not always a clear criterion for discrimination. A fast method of evaluation by using machine vision is desired to provide estimation of the seeds’ quality that could be easily implemented and replicated for different plant varieties. The thermal characteristics of ripe seeds as compared to unripe seeds are used as selection criteria against a thermal background that can enhance the contrast between the two categories.