Automated Plant Treatment System Using Real-Time Sensor Data
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Solution Overview
Problem
Current agricultural systems lack an efficient and automated method for selecting and applying treatments to plants based on real-time environmental and plant-specific parameters, leading to suboptimal crop yield and growth regulation.
Innovation Solution
An automated plant treatment system that includes a detection mechanism for identifying plants and determining optimal treatment parameters, a treatment mechanism for applying treatments such as necrosing or growth regulation, and a control system for selecting and optimizing treatment mechanisms based on geographic area output parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional agricultural treatment methods are used, then simplicity of operation is maintained, but treatment precision and crop yield optimization deteriorate
Solution Approach 1:
The system segments the agricultural treatment process into distinct functional modules: detection mechanism for identifying plants and measuring parameters, control system for processing data and determining treatments, and treatment mechanism for applying treatments. This segmentation enables precise treatment application while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system replaces traditional mechanical/manual treatment selection and application with automated detection and control systems that use sensors, processors, and actuators. This substitution enables precise treatment based on real-time plant parameters while reducing human intervention and improving consistency.
2Productivity
If manual treatment selection is used, then system simplicity is maintained, but productivity and efficiency deteriorate
Solution Approach 1:
The detection mechanism continuously measures plant parameters and environmental conditions in advance, allowing the control system to determine optimal treatments before application. This preliminary detection and planning enables efficient treatment selection and application, improving productivity while managing automation complexity.
Solution Approach 2:
The system enables plants to effectively 'select' their own treatments through the detection and control mechanisms that automatically identify plant needs and apply appropriate treatments without human intervention. This self-service approach improves treatment efficiency and reduces labor requirements.
3Manufacturing precision
If uniform treatment is applied to all plants, then ease of operation is maintained, but treatment precision and crop uniformity deteriorate
Solution Approach 1:
The system applies different treatments to different plants or plant zones based on locally measured parameters such as plant health, size, and environmental conditions. This local quality approach ensures each plant receives the precise treatment it needs, improving crop uniformity and yield while the automated system manages the complexity of variable treatment application.
Data Source
AI summary
A method for plant treatment, including: receiving a first measurement for a plant from a sensor as the sensor moves within a geographic area comprising a plurality of plants; in response to receipt of the first measurement and prior to receipt of a second measurement for a second plant of the plurality, determining a set of treatment mechanism operation parameters for the plant to optimize a geographic area output parameter based on the first measurement and historical measurements for the geographic area; determining an initial treatment parameter for the plant; and operating a treatment mechanism in a treatment mode based on the set of operating parameters in response to satisfaction of the initial treatment parameter.