首页|Researchers Submit Patent Application, 'Implement Management System For Determin ing Implement State', for Approval (USPTO 20240312204)

Researchers Submit Patent Application, 'Implement Management System For Determin ing Implement State', for Approval (USPTO 20240312204)

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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Anderson, Noel W. (Fargo, ND, US); Maeder, Curtis A. (Johnston, IA, US); Runde, Jeffrey E. (Cedar Falls, I A, US); Schleicher, Tyler D. (Ankeny, IA, US), filed on May 22, 2024, was made a vailable online on September 19, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Operators of a farming vehicle conventionally monitor the implements such as plows or sprayers pulled by farming vehicle by periodically c hecking the implement by looking at the implement from the cabin of the farming vehicle. An implement naturally wears over time as operations are performed, and operators conventionally monitor the implement for wear during operation. An im plement may be worn out to a point where a component of the implement falls from the implement while the vehicle operates. In addition to monitoring the wear of the implement, the operator of a conventionally operated farming vehicle may mo nitor the state of the implement. Some implements are not designed to be in a ce rtain state in combination with operating the farming vehicle in a particular wa y. For example, a tractor operator may check if the shanks of a plow are raised before putting the tractor in reverse. The shanks can be attached to the plow su ch that their rotational motion is limited to a fixed range. If the shanks are n ot raised when the vehicle travels in reverse, they may break or dislodge from t he vehicle.

CyborgsEmerging TechnologiesMachine LearningPatent Application

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Oct.3)