Automated Irrigation Control Using Crop Sensors
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Solution Overview
Problem
Current irrigation systems lack the ability to dynamically adjust water and nutrient delivery based on actual crop development, weather conditions, diseases, and insects, often relying on inaccurate GPS localization and two-dimensional imaging, which can lead to inefficient and impractical individual plant management.
Innovation Solution
A system comprising crop sensors, growth sensors, and RFID-enabled sensors that provide real-time data for precise control of water, fertilizer, and pesticide delivery, using spectral imaging and vegetation indices to assess crop health and adjust irrigation schedules dynamically, integrated with a computer control system and communication network for efficient management across large areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS localization and two-dimensional imaging are used for individual plant management, then the system can cover large areas, but the accuracy of crop assessment and resource delivery becomes insufficient
Solution Approach 1:
The patent transitions from two-dimensional satellite/aerial imaging to three-dimensional ground-based sensor measurements. By placing sensors at the crop level (ground dimension), the system achieves higher measurement precision for individual plant assessment while maintaining the ability to cover large areas through distributed sensor networks and zone-based management.
Solution Approach 2:
The patent divides the irrigation system into multiple zones with distributed controllers and sensors. Each zone can be independently monitored and controlled based on local crop conditions, allowing the system to maintain high measurement precision for individual plants while scaling to cover large agricultural areas through modular zone management.
2Use of energy by moving object
If weather-based smart controllers are used to adjust irrigation schedules, then energy consumption is reduced, but the system cannot account for individual plant needs and crop health variations
Solution Approach 1:
The patent implements local quality by placing individual sensors and controllers at each zone or even individual plant level. This allows each location to receive customized irrigation based on its specific crop health status, soil conditions, and environmental factors, rather than applying uniform weather-based schedules across the entire field.
Solution Approach 2:
The system incorporates continuous feedback loops where sensors monitor crop health indicators (such as spectral reflectance, soil moisture, plant temperature) and automatically adjust irrigation schedules accordingly. This closed-loop feedback enables the system to respond to actual plant conditions in real-time, combining energy efficiency with individualized crop management.
3Measurement precision
If individual plant monitoring is implemented, then crop management precision is improved, but system complexity and cost increase significantly
Solution Approach 1:
The patent employs multi-functional sensors that can measure multiple crop parameters simultaneously (such as spectral reflectance for health assessment, soil moisture content, plant temperature, and growth stage). This universality reduces system complexity by consolidating multiple measurement functions into single sensor units deployed at each zone or plant location.
Solution Approach 2:
The system merges communication and control functions into integrated wireless modules that combine sensor data acquisition, processing, and actuation control in single units. This consolidation simplifies the overall system architecture by reducing the number of separate components and communication interfaces needed for individual plant monitoring.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient delivery of resources to individual plants, accounting for actual crop growth and environmental factors, improving operational efficiency and reducing errors in nutrient distribution.
Implementation Method 1
a light sensitive sensor having a photo-detector for monitoring reflection of a crop as an indicator of the greenness of the canopy
Data Source
AI summary
An automated irrigation control comprising crop sensor physically attached to a crop and a light sensitive sensor having a photo-detector for monitoring light intensity of a crop, an irrigation conduit extending along the span of the irrigation zone and adapted to carry fluid, with one or more controllable valves and sensors, growth sensors placed in close proximity of the crop sensors, a computer control system, an irrigation controller, and a communications link between the computer control system, the one or more crop sensor, the three or more growth sensors, and the irrigation controller.