Patent ID: 11915329
Assignee: INDIGO AG, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for training and applying a machine-learned model in an online agricultural system comprising:
a non-transitory computer-readable storage medium storing executable instructions that, when executed, cause the system to perform steps comprising:
generating, for each of a set of crop producers, a crop product listing within an online agricultural system for a crop product type, the crop product listing including a reported quality specification of the crop product, a quantity of the crop product, and a location of the crop product;
generating a training set of data comprising remote sensor data corresponding to the crop product type and associated historic quality specification data corresponding to the crop product type;
training a machine-learned model configured to predict a quality specification for the crop product type based on remote sensor data corresponding to the crop product type using the training set of data;
receiving, from a prospective acquiring entity, a request to acquire the crop product, the request including a quantity requirement of the crop product, a quality requirement of the crop product, and a delivery location for the crop product; and
in response to identifying one or more crop product listings that satisfy the quality requirement included within the received request:
accessing remote sensing data from one or more remote sensors corresponding to the locations included within the identified crop product listings;
applying the trained machine-learned model to the accessed remote sensing data to verify the reported quality specification included within the identified crop product listings;
for each of the identified crop product listings, calculating a supplier trustworthiness based on a difference between the reported quality specification included within the identified crop product listing and a corresponding verified quality specification; and
in response to the supplier trustworthiness score for each of the identified crop product listings being above a threshold score, modifying an interface of a device of the prospective acquiring entity to display the identified crop product listings; and

a hardware processor configured to execute the instructions.