Automated Plant Probe with Sensor Feedback for Adaptive Irrigation

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Solution Overview

Problem

Conventional garden and houseplant probes are analog and lack automation, making it difficult for gardeners to determine optimal planting and maintenance conditions, especially in the context of climate change and novice gardeners' lack of knowledge about organic gardening practices.

Innovation Solution

An automated plant probe system that includes sensors and a control system to communicate with a mobile device, providing recommendations on planting, maintenance, and gardening practices based on local conditions, weather, and plant data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If conventional analog probes are used, then the device complexity is low, but the extent of automation is insufficient and measurement precision is limited

Engineering Contradiction:
ImproveautomationVSAvoiddevice complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The patent replaces conventional analog mechanical probes with automated electronic sensor systems that use digital communication protocols (WiFi, Bluetooth, Zigbee) to transmit data wirelessly to mobile devices and cloud platforms, eliminating the need for manual reading and interpretation of analog gauges

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces intermediate processing layers including microcontrollers, wireless communication modules, and cloud-based platforms that mediate between the physical soil sensors and the user interface, enabling automated data collection, processing, and delivery of actionable gardening recommendations

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If automated sensor systems are implemented, then measurement precision and automation improve, but device complexity increases

Engineering Contradiction:
Improvemeasurement precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent designs multi-functional sensor nodes that simultaneously measure multiple soil parameters (moisture, temperature, pH, nutrient levels) using integrated sensor arrays, reducing the need for multiple separate devices and simplifying the overall system architecture despite the advanced capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses digital replication of sensor data through wireless communication protocols, creating virtual copies of physical measurements that can be transmitted, stored, and analyzed without additional physical hardware at the measurement point, reducing complexity in data handling and processing

Inventive Principle:
Principle #26Copying

3Reliability

If conventional timing-based watering systems are used, then the device complexity is low, but the reliability of plant care is insufficient due to inability to adapt to changing conditions

Engineering Contradiction:
ImprovereliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements closed-loop feedback systems where soil sensor data continuously monitors plant conditions and automatically adjusts irrigation timing and duration based on real-time moisture levels, temperature, and plant-specific requirements, ensuring reliable plant care that adapts to changing environmental conditions

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent transitions from static timing-based irrigation schedules to dynamic, real-time adaptive irrigation control that responds to changing soil conditions, weather patterns, and plant needs, using programmable microcontrollers to adjust watering parameters on-the-fly based on sensor feedback

Inventive Principle:
Principle #15Dynamics

4Loss of information

If manual gardening management is used, then the ease of operation is high, but the loss of information about optimal planting and maintenance conditions occurs

Engineering Contradiction:
ImproveinformationVSAvoidease of operation
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent pre-loads plant-specific data including optimal planting dates, soil requirements, watering schedules, and maintenance recommendations into the system database, automatically matching sensor readings against this pre-stored information to provide timely, actionable guidance without requiring users to manually research or remember plant care requirements

Inventive Principle:
Principle #10Preliminary action

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

The system assists users in determining optimal planting times, nutrient requirements, and maintenance actions, enhancing gardening success and sustainability by adapting to climate changes and providing personalized recommendations.

Implementation Method 1

The sensor module can include a moisture sensor

Methodology Applied
Scientific EffectElectrical Resistance: Electrical Resistance

Implementation Method 2

The sensor module can include a moisture sensor and/or a growing media sensor. The growing media sensor can be used to determine at least one of pH, nitrogen, phosphorous, or potassium

Methodology Applied
Scientific EffectElectrochemical sensing:

Data Source

PatentUS20260051002A1Automated plant probe system and method for irrigation systems
Publication Date: 2026.02.19 DAUGHERTY RAYE L
  • US20260051002A1 patent drawing
  • US20260051002A1 patent drawing
  • US20260051002A1 patent drawing

AI summary

Embodiments of the invention provide an automated plant probe system and method. The plant probe can include a body and a housing with a hardware module. The hardware module can include a communication module, an electronic controller, and memory. The plant probe can include a probe with a sensor module. The sensor module can including various sensors, such as a moisture sensor and/or a growing media sensor. The plant probe system can include a control system in communication with the communication module of the plant probe. The control system can receive plant data from the sensor module and use the plant data to provide plant recommendations.