Linamar. has filed a patent for a method to enhance crop yields by adjusting seed depth and seed-fertilizer separation based on soil conditions. The method involves using specific furrow openers to optimize planting depth and distance between seeds and fertilizer in negative, transitional, and positive soil conditions. GlobalData’s report on Linamar gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Linamar, Battery pack swapping was a key innovation area identified from patents. Linamar's grant share as of January 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.

Optimizing seed depth and separation distance for crop planting

Source: United States Patent and Trademark Office (USPTO). Credit: Linamar Corp

A patent application (Publication Number: US20240032457A1) outlines a method for enhancing crop yields by adjusting seed depth and the separation distance between seeds and fertilizer during planting in varying soil conditions. The method involves attaching seed and fertilizer furrow openers to an arm member on a seeding implement, dispensing seeds and fertilizer at different depths and separation distances as the implement moves from negative to transitional to positive soil conditions. By adjusting the arm member and implement frame height, the method ensures optimal planting depths and separation distances for improved crop growth.

Furthermore, the patent application details the use of a trailing arm assembly with adjustable pivot angles and parallel linkages to maintain consistent seed and fertilizer depths across different soil conditions. By visually determining boundaries between soil conditions and manually adjusting planting parameters, the method allows for precise planting in negative, transitional, and positive field portions. Additionally, the application suggests topographically mapping the field surface and using inclinometers to define soil conditions based on moisture levels or soil types, enabling automated adjustments for optimal crop growth. Overall, the method aims to optimize planting practices for varying soil conditions to maximize crop yields.

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