SYSTEM AND METHOD FOR QUALIFYING PLANT MATERIAL

• US 20190033210A1
• Filed: 02/02/2017
• Published: 01/31/2019
• Est. Priority Date: 02/04/2016
• Status: Active Grant

• Current Assignee: Gemmacert, Ltd.
• Original Assignee: Gemmacert, Ltd.
• Inventors: YARDEN, Dana, SHOSEYOV, Oded, BLANCA, Merav
• Granted Patent: US 10,458,908 B2
• Time in Patent Office: Days
• CPC Class Codes: B07C 5/342 according to optical properties, e.g. colour according to radiation transmittivity B07C5/3416
• CPC Class Codes: G01N 2021/8466 Investigation of vegetal material, e.g. leaves, plants, fruits
• CPC Class Codes: G01N 21/359 using near infrared light
• CPC Class Codes: G01N 21/65 Raman scattering
• CPC Class Codes: G01N 2201/129 Using chemometrical methods
• CPC Class Codes: G01N 33/0098 Plants or trees wood G01N33/46

Abstract

System and methods may qualify plant material. A system for qualifying plant material may include an inspection zone, a support stage configured to support the plant material in the inspection zone, at least one camera configured to acquire at least one image of the plant material in the inspection zone, at least one processor configured to receive and analyze the camera image to identify a region of interest containing specific plant structures possessing active component, and at least one spectrometer configured to acquire a spectrometric measurement of the plant material in the inspection zone. The at least one processor may be further configured to facilitate a spectrometric measurement of the specific plant structures identified in the camera image, and to enable output of an indicator of a quality measure of the plant material based on the spectrometric measurement of the specific plant structures identified in the camera image.

Claims

1-24. -24. (canceled)

25. A system for qualifying plant material, the system comprising:

an inspection zone;

a support stage configured to support the plant material in the inspection zone;

at least one camera configured to acquire at least one image of the plant material in the inspection zone;

at least one processor configured to receive and analyze the camera image to identify a region of interest containing specific plant structures possessing active components;

at least one spectrometer configured to acquire a spectrometric measurement of the plant material in the inspection zone; and

wherein the at least one processor is further configured to facilitate a spectrometric measurement of the specific plant structures identified in the camera image, and to enable output of an indicator of a quality measure of the plant material based on the spectrometric measurement of the specific plant structures identified in the camera image.

26. The system of claim 25, wherein the at least one camera includes at least one of a color camera, a greyscale camera, an infrared camera, and a hyperspectral camera.

27. The system of claim 25, wherein the plant structures in the regions of interest include trichomes and wherein the at least one processor is further configured to perform image analysis to enable location of the trichomes in the camera image.

28. The system of claim 27, wherein the at least one processor is further configured to determine trichome density from the camera image.

29. The system of claim 25, wherein the plant material is a cannabinoid, and wherein the at least one processor is further configured to determine at least one of a THC and a CBD measure based on the spectrometric measurements.

30. The system of claim 25, wherein the at least one processor is further configured to determine a correlation between data associated with the at least one image and data associated with the spectrometric measurement.

31. The system of claim 25, wherein the at least one processor is further configured to calibrate the at least one spectrometer using stored predetermined data about the specific plant structures.

32. The system of claim 25, wherein the at least one processor is further configured to identify structural parameters in the region of interest, wherein the region of interest includes a cannabis flower, and wherein the structural parameters include a trichomes distribution in the region of interest.

33. The system of claim 25, further comprising a conveyor for moving the support stage into and out of the inspection zone.

34. The system of claim 33, further comprising a weighting unit along the conveyor for determining weight of plant material.

35. The system of claim 33, further comprising a sorter along the conveyor for sorting the plant material based on determined quality.

36. The system of claim 25, wherein the at least one processor is further configured to output data for physically tagging plant material samples with spectroscopically derived composition information.

37. The system of claim 25, wherein the at least one processor is further configured to perform preprocessing on the camera image to perform at least one of contrast enhancement and edge sharpening.

38. The system of claim 25, wherein the spectrometer is configured with a Near Infra-Red light source configured to interrogate trichomes using a wavelength in a range of 900-2100 nm.

39. The system of claim 25, further including a light source for illuminating the plant material in the inspection zone.

40. The system of claim 25, wherein the at least one processor is further configured to apply at least one weighting factor for providing corrections to amounts of selected active materials determined from spectrometric measurements and stored data about structural parameters.

41. The system of claim 25, wherein the at least one processor is further configured to identify each flower in the camera image and to obtain a spectrographic measurement of each flower.

42. The system of claim 25, wherein the spectrometer includes at least one of an InGaAs device and a Pbs device.

43. The system of claim 25, wherein the at least one processor is connectable to a server and is configured facilitate a spectrometric measurement through association with the server.

44. The system of claim 25, wherein the at least one processor is further configured to conduct the spectrometric measurement without resort to an external server.