IP Library › Granted Patent US 12,543,628
Granted Patent B2
US 12,543,628 · App. 18/546,305 · Granted Feb 10, 2026

Methods and systems for measuring duty cycle and pulse frequency of sensors to determine seed or particle metrics

Inventors: Brendan O'Rourke (Pekin, IL); William Frank (Manito, IL); Tanner Gray (Green Valley, IL); Jonathon Jellison (Tremont, IL); Ryan Allgaier (Tremont, IL)
Assignee: Precision Planting LLC
A01C7/105A01B79/005A01C21/005A01B49/06A01C7/107
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Quick Facts
Patent No.
US 12,543,628
App. No.
18/546,305
Granted
Feb 10, 2026
Kind
B2
Abstract

An electrical control system comprises a display device to display data and at least one sensor to detect or measure a duty cycle and to detect or measure a pulse frequency from a sensor output for sensing flow of a product or particle through a product or particle line of an agricultural implement. Processing logic is coupled to the at least one sensor. The processing logic is configured to determine an amount of product or particles flowing through the product or particle line of the agricultural implement based on the measured duty cycle and the measured pulse frequency of the at least one sensor.

Claims (35)

1 . An electrical control system comprising:

a display device to display data;

at least one sensor to measure a duty cycle of a fraction of time that the at least one sensor is sensing product or particles and to measure a pulse frequency for sensing flow of a product or particle through a product or particle line of an agricultural implement; and

processing logic coupled to the at least one sensor, the processing logic is configured to determine an amount of product or particles flowing through the product or particle line of the agricultural implement based on the measured duty cycle and the measured pulse frequency of the at least one sensor.

2 . The electrical control system of claim 1 , wherein the processing logic is configured to calculate the product or particle frequency through the product or particle line based on the pulse frequency and the duty cycle.

3 . The electrical control system of claim 2 , wherein the product or particle frequency is used to estimate an estimated product or particle population based on known variables including row speed and row spacing for rows within an agricultural field.

4 . The electrical control system of claim 2 , wherein the product or particle frequency equals the pulse frequency divided by 1—duty cycle.

5 . The electrical control system of claim 1 , wherein the processing logic is configured to calculate a particle impulse to indicate a pulse per particle based on the duty cycle and the pulse frequency.

6 . The electrical control system of claim 5 , wherein the processing logic is configured to calculate a particle frequency based on the duty cycle and the particle impulse.

7 . The electrical control system of claim 1 , wherein the processing logic is configured to determine a product or particle magnitude metric based on duty cycle per area and to map the product or particle magnitude metric based on the amount of product or particles determined at different GPS locations in order to generate a spatial map for an agricultural field.

8 . The electrical control system of claim 7 , wherein the processing logic is configured to determine a product or particle uniformity metric that is calculated as 100 subtract High Row product or particle Variation plus Absolute Value of Low Row product or particle Variation, wherein the display device to display on a user interface the product or particle uniformity metric which shows a product or particle uniformity of the product or particle magnitude across different row units for the implement with a sensor being positioned per row unit for the implement.

9 . An electrical system comprising:

at least one sensor for sensing flow of seeds or particles within a flow line of an agricultural implement;

a module to receive sensor data from the at least sensor; and

processing logic coupled to the module, the processing logic is configured to determine a measured duty cycle of a fraction of time that the at least one sensor is sensing seed or particles and a measured pulse frequency from a sensor output of the at least one sensor and to determine a seed or particle frequency based on the measured duty cycle and the measured pulse frequency of the sensor.

10 . The electrical system of claim 9 , wherein the processing logic is configured to calculate the seed or particle frequency through the seed or particle line based on the pulse frequency and the duty cycle.

11 . The electrical system of claim 10 , wherein the seed or particle frequency equals the pulse frequency divided by 1—duty cycle.

12 . The electrical system of claim 9 , wherein the processing logic is configured to calculate a particle impulse to indicate a pulse per particle based on the duty cycle and the pulse frequency, wherein the processing logic is configured to determine a seed or particle magnitude metric as duty cycle per area and to determine a seed or particle uniformity metric that is calculated as 100 subtract High Row seed or particle Variation plus Absolute Value of Low Row seed or particle Variation.

13 . The electrical system of claim 12 , wherein the processing logic is configured to calculate a particle frequency based on the duty cycle and the particle impulse.

14 . A computer implemented method of monitoring a sensor to

determine seed or particle metrics, comprising:

measuring a duty cycle of a fraction of time that the sensor is sensing seed or sensing particles and measuring a pulse frequency of the sensor for sensing flow of seed or particles through a seed or particle line of an agricultural implement;

determining a seed or particle frequency based on the measured pulse frequency and the measured duty cycle; and

estimating an amount of seed or particles flowing through the seed or particle line of the agricultural implement based on the seed or particle frequency and other known variables including row speed or row spacing for the agricultural implement.

15 . The computer implemented method of claim 14 , further comprising:

mapping at least one seed or particle metric including a magnitude or uniformity across different row units of the agricultural implement of at least one sensor at specific GPS locations in order to generate a spatial map for an agricultural field.

16 . The computer implemented method of claim 14 , further comprising:

mapping a blockage sensor metric from each blockage sensor across different row units of the agricultural implement at specific GPS locations in order to generate a blockage spatial map for an agricultural field.

17 . The computer implemented method of claim 14 , further comprising:

determining a seed or particle magnitude metric as duty cycle per area.

18 . The computer implemented method of claim 14 , further comprising:

determining a seed or particle uniformity metric to measure how uniform the seed or particle magnitude is across different row units of the agricultural implement.

19 . The computer implemented method of claim 18 , wherein the seed or particle uniformity metric is calculated as 100 subtract High Row seed or particle Variation plus Absolute Value of Low Row seed or particle Variation.

20 . The computer implemented method of claim 19 , wherein the Low Row seed or particle Variation is calculated as Low Row seed or particle Magnitude subtract Average seed or particle Magnitude divided by Average seed or particle Magnitude multiplied by 100.

21 . The computer implemented method of claim 19 , wherein the High Row seed or particle Uniformity is calculated as High Row seed or particle Magnitude subtract Average seed or particle Magnitude divided by Average seed or particle Magnitude multiplied 100.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 14, 2023
From: O'ROURKE, BRENDAN; FRANK, WILLIAM; GRAY, TANNER; JELLISON, JONATHON; ALLGAIER, RYAN
To: PRECISION PLANTING LLC
Reel/Frame 064576/0737 →
Continuity (3)
Provisional Application 63183118 · May 3, 2021
Provisional Application 63159993 · Mar 12, 2021
Related Publication 20240180067A1 · Jun 6, 2024
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