ADPS Drone Wildlife Deterrence and Crop Health Detection

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Solution Overview

Problem

Current agricultural practices face challenges in efficiently monitoring crop health and mitigating wildlife interference, leading to reduced crop yields and inefficiencies in field management.

Innovation Solution

The Agriculture Detection Protection System (ADPS) integrates LIDAR, radar, cameras, multifunctional drones, and AI algorithms for comprehensive field surveillance, wildlife deterrence, and crop health diagnostics, enabling real-time monitoring and intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional monitoring methods are used, then system complexity is low, but measurement precision and detection capability are insufficient

Engineering Contradiction:
Improvecrop health detection precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple detection technologies (LIDAR, radar, cameras, thermal imaging) into a single integrated agricultural monitoring system. This merging of previously separate systems enables comprehensive crop health assessment with high measurement precision while managing system complexity through unified architecture and centralized processing.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The monitoring system is designed to perform multiple functions simultaneously: detecting crop health, monitoring wildlife, analyzing soil conditions, and tracking environmental parameters. This multi-functionality allows the system to achieve high measurement precision across various agricultural parameters without requiring separate dedicated systems for each function.

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

2Productivity

If comprehensive field surveillance is implemented, then productivity is improved, but loss of time for data processing increases

Engineering Contradiction:
Improveagricultural productivityVSAvoiddata processing time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of agricultural data in real-time as it is collected, immediately identifying crop health issues, wildlife threats, or environmental anomalies. This preliminary action enables prompt interventions without waiting for comprehensive post-collection analysis, thus maintaining high productivity while minimizing data processing delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where detection data is immediately processed and used to adjust monitoring parameters and trigger automated responses. This real-time feedback mechanism ensures that productivity improvements are achieved through rapid decision-making while keeping data processing time minimal by processing only critical data streams.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If advanced detection technologies are deployed, then measurement precision is improved, but use of energy increases

Engineering Contradiction:
Improvewildlife detection precisionVSAvoiddrone energy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system employs periodic scanning and intermittent activation of advanced detection technologies on drones rather than continuous operation. The drones perform scheduled surveillance passes and activate high-energy sensors (LIDAR, thermal imaging) only when anomalies are detected or during critical monitoring periods, thereby maintaining high wildlife detection precision while significantly reducing overall energy consumption.

Inventive Principle:
Principle #19Periodic 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

ADPS enhances agricultural productivity by effectively deterring wildlife, reducing crop losses, and improving yield consistency through advanced surveillance and targeted treatments, while aligning with sustainable practices.

Implementation Method 1

LIDAR for detailed topographical and vegetation mapping

Methodology Applied
Scientific EffectTime of flight: Time of Flight

Implementation Method 2

radar for precise movement detection

Methodology Applied
Scientific EffectRadar: Radar

Data Source

PatentUS20240373836A1Agriculture Detection Protection System (ADPS)
Publication Date: 2024.11.14 RIDL DAVID

AI summary

The Agriculture Detection Protection System (ADPS) emerges as a revolutionary guardian for crop and livestock protection. Integrating LIDAR, radar, cameras, and sound systems with advanced drones, the ADPS not only surveils but intelligently interacts with its environment, using AI to analyze crop health and deploy various deterrents against wildlife threats. These drones, equipped with dispensers for precise agricultural interventions and visual deterrents, adapt to ever-changing field conditions. By combining real-time monitoring with eco-friendly practices, the ADPS offers a comprehensive, adaptive solution to safeguard agricultural fields, striking a delicate balance between technological innovation and environmental stewardship.