Kubota had 71 patents in future of work during Q2 2024. Kubota Corp filed patents for a crop row detection system using time-series color images, a row detection system estimating heights of feature points on the ground surface, a management system prioritizing agricultural tasks for multiple machines, an agricultural assistance system for field work, and a work vehicle with automatic control capabilities. GlobalData’s report on Kubota gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Kubota had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Crop row detection system, agricultural machine having a crop row detection system, and method of crop row detection (Patent ID: US20240202966A1)
The patent filed by Kubota Corp. describes a crop row detection system that utilizes a camera mounted on an agricultural machine to capture time-series color images of the ground surface. A processor then processes these images to enhance the color of the crop row for detection, generate a plan view image from the enhanced image, classify the image into pixels based on color index values, and determine the positions of edge lines of the crop row using these values. The system aims to accurately detect and track crop rows for agricultural purposes.
The claims associated with the patent detail the specific functionalities of the crop row detection system, including totalizing color index values along scanning lines, generating histograms, splitting the plan view image into blocks for edge line determination, and creating an overhead view image through homography transformation. Additionally, the patent covers the integration of this system into an agricultural machine with automatic steering control based on the detected edge lines of the crop row. Overall, the patent outlines a comprehensive method and system for efficient crop row detection and tracking in agricultural settings, enhancing operational accuracy and productivity.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
