AI Cut-Point Generation for Consistent Robotic Vine Pruning

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Solution Overview

Problem

Agricultural cutting tasks, such as pruning grape vines, are labor-intensive and prone to variability due to human skill differences, affecting vine health and grape quality.

Innovation Solution

An agricultural cutting system and method using image capture, depth estimation, and AI-driven segmentation to generate precise cut-points, employing a camera, robotic arm, and cutting tool for automated pruning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual pruning by expert personnel is used, then cutting precision and vine health are improved, but labor costs and time consumption increase

Engineering Contradiction:

Improvecutting precisionVSAvoidlabor efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent replaces the manual mechanical pruning system with an automated robotic system that uses image capture devices, depth estimation algorithms, and robotic arms with cutting tools. The system captures images of grape vines, generates depth estimations, identifies pruning locations through AI processing, and executes automated cutting operations, thereby eliminating the need for manual labor while maintaining cutting precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual pruning by different persons is used, then flexibility in handling various vine conditions is improved, but consistency and reliability of pruning decrease

Engineering Contradiction:

Improvehandling flexibilityVSAvoidpruning consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent employs AI-based image processing that analyzes multiple parameters including image data, depth estimation values, and vine structural characteristics. The system dynamically adjusts cutting parameters based on the specific conditions of each vine, ensuring consistent and reliable pruning decisions while adapting to various vine types and growth stages through programmable algorithms.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated cutting system is implemented, then labor costs and time consumption are reduced, but system complexity and initial investment increase

Engineering Contradiction:

Improvelabor efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent integrates multiple functions into a unified automated pruning system: image capture devices for visualization, depth estimation modules for spatial understanding, AI processing units for decision-making, and robotic arms with cutting tools for execution. This multi-functional integration reduces the need for separate systems and simplifies overall system architecture while maintaining high productivity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12593753B2Agricultural cutting system and cut-point method

Publication Date: 2026.04.07 KUBOTA CORP

AI summary

A method for generating an agricultural cut-point for an agricultural item includes capturing an image of the agricultural item, generating a depth estimation of the agricultural item, segmenting the image of the agricultural item to generate a segmented image that identifies different segments of the agricultural item, detecting an agricultural feature of the agricultural item based on the image of the agricultural item, generating a two-dimensional cut-point based on the segmented image and the agricultural feature, and generating a three-dimensional cut-point based on the two-dimensional cut-point and the depth estimation of the agricultural item.