Patent ID: 11861885
Assignee: MYCROPS TECHNOLOGIES LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 20:
21. A non-transitory computer readable storage medium containing instructions associated with characterization of a status of a Cannabaceae plant, using a neural network; the instructions when executed causing the following:
(a) training a neural network to predict a THC level of a Cannabaceae plant, by providing said neural network from a user terminal, with a plurality of (i) first set of photographic images of non-Cannabaceae plants; and (ii) second set of known photographic images of Cannabaceae plants, and an input THC value associated with each image from said second set of photographic images;
wherein said input THC value is determined using results of chemical composition laboratory tests obtained with HPLC or GC or HPLC-MS or GC-MS test equipment and test methods, said tests performed on the Cannabaceae plants captured in said known photographic images;

(b) opening to said user terminal with an access to said trained neural network;
(c) inputting an unknown photographic image of a Cannabaceae plant by said user terminal;
(d) performing an analysis of said unknown photographic image Cannabaceae plant using said trained neural network to obtain a THC value;
(e) extracting features from said unknown photographic image of a Cannabaceae plant using image processing, the features including shape, size, density and color of the trichomes imaged in the unknown photographic image;
(f) calculating and reporting to said user terminal, an output based on the THC level or the features or a combination thereof, the output comprises at least one of: maturity of the plant for harvesting; assessment of post-production Cannabaceae plant product quality and price.