18416280. AGRICULTURAL CAMERA CONFIDENCE simplified abstract (DEERE & COMPANY)

AGRICULTURAL CAMERA CONFIDENCE

Organization Name

DEERE & COMPANY

Inventor(s)

Carolyn R. Herman of La Porte City IA (US)

Daniel B. Quinn of Holly Springs NC (US)

Franklin Lucas Sturgeon of Spanaway WA (US)

Colin D. Engel of Bettendorf IA (US)

Matthew Orth of Waukee IA (US)

Hanna J. Wickman of Grimes IA (US)

Tucker Creger of Des Moines IA (US)

Nicholas E. Vickers of Grand Mound IA (US)

AGRICULTURAL CAMERA CONFIDENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18416280 titled 'AGRICULTURAL CAMERA CONFIDENCE

The abstract describes a method for evaluating data accuracy for an agricultural machine using image data from a camera.

• Obtaining image data from a camera on the agricultural machine
• Processing the image data for a time interval
• Identifying inadequate images
• Determining the ratio of inadequate images to total images for the time interval
• Generating a camera confidence based on this ratio
• Providing feedback indicating the camera confidence

Potential Applications: - Precision agriculture - Crop monitoring - Yield estimation

Problems Solved: - Ensuring data accuracy in agricultural operations - Improving decision-making based on image data

Benefits: - Increased efficiency in agricultural processes - Enhanced crop management - Improved yield predictions

Commercial Applications: - Agricultural machinery manufacturers - Farm management software developers - Agricultural technology companies

Questions about the technology: 1. How does this method improve the accuracy of data in agricultural operations? 2. What are the potential implications of using camera confidence in precision agriculture?

Frequently Updated Research: - Latest advancements in image processing algorithms for agricultural applications.

Original Abstract Submitted

A method for evaluating provided data accuracy for an agricultural machine. The method includes obtaining image data from a camera on the agricultural machine, processing the image data for a time interval and identifying inadequate images, determining the number of inadequate images compared to the total number of images for the time interval, generating a camera confidence based on the ratio of inadequate images to total images for the time interval, and providing a feedback indicating the camera confidence.