IP Library Granted Patent US 12,469,118
Granted Patent B2
US 12,469,118 · App. 17/861,557 · Granted Nov 11, 2025

System and method for measuring leaf-to-stem ratio

Inventors: Mahesh Somarowthu (Pune, IN); Sameer Gorivale (Pune, IN); Mohan A. Vadnere (Pune, IN)
Assignee: Deere & Company
G06T7/0002G06T7/11G06T7/62G06T2207/10024G06T2207/20081G06T2207/30188
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Quick Facts
Patent No.
US 12,469,118
App. No.
17/861,557
Granted
Nov 11, 2025
Kind
B2
Abstract

Systems and methods are provided for determining a leaf-to-stem ratio of a crop automatically from an image of the crop. An agricultural vehicle may include a crop analysis system having a computing device and an imaging device for capturing an image of a crop. The computing device analyzes images acquired by the imaging determine to determine a leaf-to-stem ratio of the crop.

Claims (27)

1 . A crop analysis system, comprising:

an imaging device coupled to an agricultural vehicle and configured to acquire an image of a crop during harvesting by the agricultural vehicle as the agricultural vehicle traverses a field including the crop, wherein the imaging device is a high-speed camera; and

a computing device having a processor executing computer-readable instructions to:

analyze the image of the crop to identify portions of the image corresponding to leaves and identify portions of the image corresponding to stems;

generate a first metric indicating an amount of leaf in the image of the crop;

generate a second metric indicating an amount of stem in the image of the crop;

determine a leaf-to-stem ratio for the crop based on the first and second metric; and

signal an agricultural machine to perform an action subsequent to harvesting based on the leaf-to-stem ratio, wherein the agricultural machine includes one of a baler.

2 . The crop analysis system of claim 1 , wherein the computing device is further configured to identify the portions of the image respectively corresponding to leaves and stem by detecting edges in the image base on morphological processing.

3 . The crop analysis system of claim 2 , wherein the computing device is further configured to apply a machine learning technique to distinguish leaves and stems following edge detection.

4 . The crop analysis system of claim 1 , wherein the computing device is further configured to identify the portions of the image respectively corresponding to leaves and stem through image segmentation.

5 . The crop analysis system of claim 1 , wherein the computing device is further configured to apply a plurality of markers on the image and generate a count of marker overlaying leaves and a count of markers overlaying stems.

6 . The crop analysis system of claim 5 , wherein the computing device is further configured to determine the leaf-to-stem ratio based on the respective counts of markers overlaying leaves and stems.

7 . The crop analysis system of claim 1 , wherein the computing device is further configured to apply an image area measurement corresponding to leaves and an image area measurement corresponding to stems.

8 . The crop analysis system of claim 7 , wherein the computing device is further configured to determine the leaf-to-stem ratio based on the respective image area measurements corresponding to leaves and stems.

9 . The crop analysis system of claim 1 , wherein the computing device is further configured to acquire a plurality of images via the imaging device and determine an aggregate leaf-to-stem ratio corresponding to the plurality of images.

10 . A crop analysis method, comprising:

acquiring an image of a crop during harvesting by an agricultural vehicle with an imaging device coupled to the agricultural vehicle, wherein the imaging device is a high-speed camera and acquiring the image of the crop occurs as the agricultural vehicle traverses a field including the crop;

analyzing the image of the crop identify portions of the image corresponding to leaves and identify portions of the image corresponding to stems;

generating a first metric indicating an amount of leaf in the image of the crop;

generating a second metric indicating an amount of stem in the image of the crop;

determining a leaf-to-stem ratio for the crop based on the first and second metric; and

signaling an agricultural machine to perform an action subsequent to harvesting based on the leaf-to-stem ratio, wherein the agricultural machine includes a baler.

11 . The crop analysis method of claim 10 , wherein analyzing the image of the crop includes applying a plurality of markers on the image.

12 . The crop analysis method of claim 11 , wherein the first metric is a count of markers overlaying leaves and the second metric is a count of markers overlaying stems.

13 . The crop analysis system of claim 10 , wherein the first metric is an image area measurement corresponding to leaves and the second metric is an image area measurement corresponding to stems.

14 . The crop analysis system of claim 10 , further comprising acquiring a plurality of images via the imaging device and determining an aggregate leaf-to-stem ratio corresponding to the plurality of images.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 11, 2022
From: SOMAROWTHU, MAHESH; GORIVALE, SAMEER; VADNERE, MOHAN A.
To: DEERE & COMPANY
Reel/Frame 060472/0150 →
Continuity (1)
Related Publication 20240013363A1 · Jan 11, 2024
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