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

Claim 0:
1. A method for computerized assessment of the status of a Cannabaceae plant, using a neural network, said method comprising:
(a) training a neural network to predict a THC value of a Cannabaceae plant, by providing said neural network 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) providing a user with access to said trained neural network;
(c) allowing said user to input an unknown photographic image of a Cannabaceae plant;
(d) analyzing said unknown photographic image Cannabaceae plant using said trained neural network to obtain a predicted 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 outputting to said user, an output based on the predicted THC value 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.