Automated Plant Problem Resolution System
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Solution Overview
Problem
Current methods for identifying and resolving plant problems are labor-intensive, requiring homeowners to manually diagnose symptoms and apply treatments, which is time-consuming and can lead to safety hazards due to leftover chemicals.
Innovation Solution
An automated horticultural resolution system comprising a diagnostic system, a machine controller, and a mobile utility vehicle that uses a horticultural knowledge base, logistics database, and home site database to identify plant anomalies and generate treatment plans, autonomously applying necessary resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual diagnosis and treatment application methods are used, then homeowners can address plant problems, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical diagnosis and treatment application with an automated optical and chemical delivery system. A mobile robot equipped with cameras, sensors, and a knowledge base automatically detects plant anomalies through image analysis, diagnoses problems using stored horticultural information, and applies treatments via integrated dispensing mechanisms, eliminating the need for manual labor in these tasks
Solution Approach 2:
The system enables plants to receive care autonomously without human intervention. The mobile robot independently navigates to affected plants, identifies problems through its own sensing capabilities, determines appropriate treatments using its knowledge base, and applies corrections through integrated applicators, creating a self-service horticultural management system
2Reliability
If manual treatment application is used, then plant problems can be addressed, but safety hazards arise from leftover chemicals
Solution Approach 1:
The patent extracts the chemical storage and handling functions from the human operator and concentrates them in the mobile robot's controlled environment. The robot carries chemicals in secure onboard reservoirs and applies them precisely where needed, removing chemicals from homes and reducing the risk of improper storage and accidental exposure
Solution Approach 2:
The system transitions from general chemical storage to localized on-demand delivery. The mobile robot carries small quantities of specific treatments only to the locations where they are needed, applying them precisely to affected areas. This localized approach minimizes overall chemical storage and reduces safety hazards associated with large-scale chemical inventory
3Productivity
If automated diagnostic systems are implemented, then labor requirements are reduced, but system complexity increases
Solution Approach 1:
The mobile robot serves multiple functions within a single integrated platform: it navigates autonomously, captures and analyzes images, senses environmental conditions, diagnoses plant problems using a knowledge base, and applies treatments through integrated dispensing systems. This multi-functionality consolidates what would otherwise require multiple separate systems into one unified device
Solution Approach 2:
The patent combines diagnostic and treatment delivery functions into a single integrated system. The mobile robot merges image processing, sensor analysis, knowledge base querying, and chemical dispensing capabilities into one coordinated platform, reducing the need for separate manual operations and simplifying the overall workflow despite the advanced technologies involved
Data Source
AI summary
The illustrative embodiments provide an apparatus for performing horticultural tasks comprising a number of data storage devices, a diagnostic system, and a processor unit. The number of data storage devices includes a horticultural knowledge base, a logistics database, and a home site database. The processor unit executes the diagnostic system and accesses the horticultural knowledge base, the logistics database, and the home site database on the number of data storage devices to identify a horticultural need for a plurality of plants.


