Agricultural sample processing and analysis system and related methods
An agricultural sample processing system using image recognition and machine learning improves the precision and efficiency of agricultural operations by accurately classifying and sorting different types of seeds and grains.
Patent Information
- Application Number
- PCT/IB2024/059316
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-07-26
- Filing Date
- 2024-09-25
- Publication Date
- 2025-04-03
AI Technical Summary
Current agricultural sample processing systems face challenges in efficiently and accurately analyzing and sorting various types of agricultural samples, particularly in distinguishing between different types of seeds, grains, and other agricultural materials, which affects the precision and efficiency of agricultural operations.
Agricultural sample processing and analysis system utilizing image recognition technology and machine learning algorithms to classify and sort agricultural samples based on their visual characteristics, enabling precise identification and separation of different types of seeds and grains.
Enhances the precision and efficiency of agricultural operations by accurately distinguishing and sorting various agricultural samples, improving the quality and consistency of agricultural processes.