Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Measuring crop residue from imagery using a machine-learned convolutional neural network

Measuring crop residue from imagery using a machine-learned convolutional neural network

US Patent 10748042 · Granted Aug 18, 2020

Estimated economic value: $9,304,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Systems and methods for monitoring seed placement within the ground2025
Agricultural system and method for detecting failure of a ground-engaging tool o2025
System and method for controlling the operation of an agricultural implement bas2025
Truck load dumping for an autonomous loader2024
Data acquisition module for an agricultural machine and related systems and asse2024
Systems and methods for determining residue coverage of a field2024
Method for preparing an activated lignin composition2024
System and method for determining field surface conditions using vision-based da2024
System and method for determining bale properties of a crop material bale using 2024
Soil monitoring system2024
System and method for controlling the operation of a tillage implement based on 2024
System and method for determining residue coverage within a field following a ha2024