Animal-Plant Resource Analysis Using Species Association Modeling
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Solution Overview
Problem
Existing methods for analyzing animal and plant resources are inaccurate due to manual surveys, which cause environmental disturbances and data loss, leading to incomplete and unreliable data.
Innovation Solution
A method and apparatus for analyzing animal and plant resources that acquire information about species associations and environmental climate, calculate derivative biological information, and update resource information to improve accuracy and timeliness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual surveys are used to analyze animal and plant resources, then human disturbances to the environment are caused and data are omitted or lost, but the method is simple to implement
Solution Approach 1:
The patent replaces manual mechanical survey methods with automated remote sensing technology. Satellite imagery and aerial photography capture environmental data without physical human presence, eliminating disturbances to wildlife and plants while preventing data loss through systematic automated collection and processing
Solution Approach 2:
The patent introduces remote sensing technology as an intermediary between researchers and the natural environment. This intermediary system collects data about animal and plant resources from a distance, allowing analysis without direct human contact that would disturb the ecosystem or cause data omission
2Measurement precision
If manual surveys are conducted to analyze animal and plant resources, then the process is simple, but the large volume of survey work causes data to be omitted or lost
Solution Approach 1:
The patent replaces complex manual data collection processes with automated remote sensing systems. These systems systematically capture comprehensive environmental data including vegetation cover, water bodies, and habitat features, eliminating human error and data omission while managing complexity through standardized processing algorithms
Solution Approach 2:
The patent employs multi-functional remote sensing technology that simultaneously captures various types of environmental data (vegetation, water, soil, animal habitats) in a single survey mission. This universal approach ensures comprehensive data collection without requiring multiple separate manual surveys, maintaining data completeness while managing system complexity
3Productivity
If automated remote sensing is used to analyze animal and plant resources, then data accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent replaces inefficient manual analysis methods with automated image processing systems. These systems use computer algorithms to automatically identify, classify, and quantify animal and plant resources from satellite and aerial imagery, dramatically improving productivity while managing complexity through standardized processing workflows
Solution Approach 2:
The patent creates digital copies of environmental data through remote sensing imagery. These digital representations can be stored, processed, and analyzed repeatedly without degradation, enabling efficient resource analysis while the copying process itself is managed through established photogrammetry and remote sensing protocols
Data Source
AI summary
The present disclosure relates to the technical field of resource analysis. Disclosed are a method and an apparatus for analyzing animal and plant resources, the method includes: acquiring information about animal and plant resources, and information about environmental climate in a first target range; and obtaining animal and plant association information of the first target range by analysis according to the information about animal and plant resources, in which the animal and plant association information is used to indicate association relationships among species in the first target range, and the species include animals and plants; calculating derivative biological information of the first target range according to the animal and plant association information and the information about environmental climate; and updating the information about animal and plant resources according to the derivative biological information.


