Patent Application: Method for Matching Cattle Tasks with Entities
Summary
The USPTO has published a patent application (US20260087427A1) for a method and system for matching tasks related to cattle with entities. The application, filed by SENOVATE AI CO., LTD., details a process for generating queries, obtaining task and entity details, and using environmental data to select an appropriate entity.
What changed
This document is a published patent application from the USPTO detailing a novel method and system for matching tasks related to cattle with specific entities. The application, filed by SENOVATE AI CO., LTD., outlines a process that involves generating task queries, gathering details about the task (including location), identifying candidate entities with their locations and ratings, incorporating environmental data, and then calculating a score to select the most suitable entity based on weighted factors. The application number is 19111220 and it was filed on September 12, 2022.
As this is a patent application, it does not impose direct compliance obligations or deadlines on regulated entities. However, it signifies potential future technological developments in the agricultural sector, particularly concerning AI-driven task management and resource allocation for cattle-related operations. Companies operating in this space, especially those involved in agricultural technology or AI solutions, may wish to monitor the progress of this patent application and similar innovations.
Source document (simplified)
METHOD AND SYSTEM FOR MATCHING TASK RELATING TO CATTLE WITH ENTITY
Application US20260087427A1 Kind: A1 Mar 26, 2026
Assignee
SENOVATE AI CO., LTD.
Inventors
Davids MAKARARPONG, Chaidate INCHAISRI, Piyanush TOOPTOMPONG, Pongsanun KHAMTA, Apirak TUDSORN, Aekaluck LEKLERDSIRIWONG
Abstract
The present invention discloses a method for matching a task relating to cattle with an entity, comprising the steps of: generating a query for the task relating to cattle; obtaining task details, wherein the task details include a task information and a task location; obtaining a plurality of candidate entities using the task information, wherein the candidate entities include a candidate location and a candidate rating; obtaining an environmental data responding to the task details; determining at least one selected entity using the steps of applying at least one weight factor to the task details, the candidate entities, and the environmental data and calculating a score using the task details, the candidate entities, and the environmental data; and responding to the query with the selected entity.
CPC Classifications
G06Q 10/06311
Filing Date
2022-09-12
Application No.
19111220
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