New Test Method for Determining Industrial Hemp Hurd Characterization using Image Analysis
1. Scope
This test method requires the preparation of an industrial hemp hurd (or shiv) batch specimen for digital imaging capture, the scanning of the hurd particles for analysis, and the calibration and standardization of the image processing. From the image analysis, characterization of a hurd batch specimen is determined by way of its Particle Size Distribution (namely, parameters such as; length, surface area, width, length-to-width ratios, and perimeter), which is achieved through a given digital model establishing it's statistical weights in terms of their range in minimums, quartiles, medians, averages, and maximums, and standard deviations. Also determined from the image analysis are a specimen's color ranges, as well as percentages of loose fiber, fiber clumps, screenings, dust, and trash content.
This test method is needed to establish a industrial hemp hurd specification standard according to hurd Particle Size Distributions, percentages of cleanliness, and color ranges into a grading or classification system for the hemp-lime insulation market. The industrial hurd market demands a range of sizes, degrees of cleanliness, and ranges of color for different application methods. The Standard will be used to improve construction quality, insulation performance, and address supply chain issues. The users will be processing plants, regulatory bodies, hemp-lime installers/insulators, builders, architects, and engineers.