Vegetation Management System Using Image Analysis for Uniform Grass Growth
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Solution Overview
Problem
Existing vegetation management systems struggle to maintain a high-quality, evergreen state and achieve uniform growth of natural grass surfaces in facilities like sports stadiums and parks, as they rely on user-determined light irradiation times and positions, leading to inefficiencies in sunlight supplementation and maintenance.
Innovation Solution
An information processing apparatus and method that includes an image analysis unit and a determination unit to analyze captured images of the vegetation and determine necessary work contents, such as light supplementation and maintenance tasks, using sensors and a neural network model to optimize grass growth and health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user-determined light irradiation times and positions are used, then flexibility in operation is improved, but management quality and uniformity of grass growth deteriorate
Solution Approach 1:
The system enables self-service management by automatically capturing images of the grass surface, analyzing growth status through image processing, and determining optimal light irradiation positions and times without requiring user judgment. The apparatus autonomously identifies regions requiring maintenance and schedules light supplementation, thereby maintaining high management quality while eliminating the need for manual decision-making.
Solution Approach 2:
The system implements feedback control by continuously monitoring grass growth status through image capture, comparing actual growth against target standards, and automatically adjusting light irradiation parameters based on analysis results. This closed-loop feedback mechanism ensures uniform grass growth by dynamically adapting management actions to real-time conditions, resolving the contradiction between automated precision and operational flexibility.
2Ease of operation
If manual determination of irradiation positions is used, then operational simplicity is improved, but uniformity of grass growth deteriorates
Solution Approach 1:
The system replaces manual mechanical determination of irradiation positions with automated image capture and computer-based image analysis. The image processing unit objectively identifies growth variations and determines optimal light supplementation positions, eliminating human subjectivity and ensuring consistent, uniform grass growth across different management sessions while maintaining operational simplicity through automated execution.
3Use of energy by moving object
If conventional sunlight supplementation is used, then energy consumption is reduced, but restoration speed of damaged grass deteriorates
Solution Approach 1:
The system optimizes the parameters of light irradiation by using image analysis to determine precise wavelengths, intensity levels, and duration based on the specific growth conditions and damage status of the grass. This parameter optimization enables faster restoration speeds compared to conventional fixed-parameter sunlight supplementation, while the system only activates lighting when and where needed, minimizing overall energy consumption through targeted rather than continuous operation.
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, and a vegetation management system each capable of managing vegetation in such a manner as to maintain a high quality state and achieve uniform growth.In a vegetation management system, an image acquiring apparatus acquires an image in which vegetation corresponding to a target of management is captured. An analysis unit analyzes the image as at least input information and outputs a predetermined analysis result. Then, a determination unit determines work contents to be performed for the vegetation, according to the analysis result. A work apparatus performs a process for executing work for the vegetation according to the work contents. For example, the present technology is applicable to a management system that manages natural grass.