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Development of AI-Powered Pest Detection and Monitoring System
  1. case
  2. Development of AI-Powered Pest Detection and Monitoring System

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Development of AI-Powered Pest Detection and Monitoring System

intechhouse.com
Agriculture
Environmental Services
Manufacturing

Problem Statement

AgriTech Solutions' current pest monitoring system relies on time-consuming manual inspections, leading to inefficiencies, potential for human error, and delayed responses to pest outbreaks. There is a need for an automated system capable of accurately identifying and tracking various insect pests in industrial settings like warehouses and agricultural storage facilities.

About the Client

AgriTech Solutions Inc. is a leading provider of advanced optical equipment solutions for precision agriculture, specializing in developing innovative monitoring systems for crop health and environmental conditions.

Project Objectives

  • Develop an AI-powered system for automated pest detection and classification.
  • Reduce reliance on manual inspections.
  • Improve the accuracy and speed of pest monitoring.
  • Enable proactive pest management strategies.
  • Create a scalable platform for future expansion into other automated monitoring solutions.

Functional Requirements

  • Automated insect detection and classification.
  • Real-time monitoring of pest activity.
  • Data reporting and analytics.
  • Alerting system for pest outbreaks.
  • Integration with existing warehouse management systems (WMS) or agricultural management platforms.

Preferred Technologies

Unreal Engine
Autodesk 3ds Max
VRay
Substance Painter
Adobe Photoshop

Required Integrations

  • Warehouse Management Systems (WMS)
  • Agricultural Management Platforms
  • Existing Camera Systems

Key Non-Functional Requirements

  • High accuracy in insect identification.
  • Scalability to accommodate multiple camera feeds and environments.
  • Real-time performance with minimal latency.
  • Secure data storage and transmission.
  • Robustness to varying lighting and environmental conditions.

Estimated Impact

By automating pest monitoring, this project is expected to significantly reduce operational costs, minimize crop damage or product spoilage, improve regulatory compliance, and enhance overall efficiency for AgriTech Solutions and its clients. The faster detection and response times will lead to better pest control and reduced reliance on chemical treatments.

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