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Development of a Rugged Mobile Barcode Scanning Application for Agricultural Harvesting Operations
  1. case
  2. Development of a Rugged Mobile Barcode Scanning Application for Agricultural Harvesting Operations

Development of a Rugged Mobile Barcode Scanning Application for Agricultural Harvesting Operations

relevant.software
Agriculture

Challenges in Traditional Berry Harvesting and Packing Processes

The client faces difficulties in accurately tracking berry collection due to manual recording errors, inefficient data collection, and operational disruptions caused by adverse weather conditions and the need for gloves by field workers. Existing manual methods hinder scalability and real-time monitoring, impacting overall productivity and decision-making.

About the Client

A large-scale berry farm specializing in strawberry, blueberry, blackberry, and raspberry cultivation, aiming to digitalize harvesting and packing processes to enhance efficiency and data accuracy.

Goals for Developing an Advanced Digital Harvesting Solution

  • Create a durable mobile application enabling workers to scan barcodes and QR codes efficiently in challenging outdoor conditions
  • Ensure high-speed scanning capabilities capable of processing hundreds of thousands of codes daily
  • Integrate features like duplicate detection and real-time data upload to reduce errors and improve tracking accuracy
  • Develop a training mode within the app to facilitate onboarding without compromising actual data integrity
  • Design an intuitive, high-contrast UI suitable for glove use and extreme environmental conditions
  • Establish a scalable deployment pipeline for seamless updates and maintenance

Core Functionalities for the Agricultural Barcode Scanning Application

  • High-performance barcode and QR code scanner capable of processing thousands of codes per minute, with duplicate check mechanisms
  • Offline mode with data synchronization capabilities to ensure continuous operation in connectivity-challenged environments
  • Training mode allowing users to simulate real scans without affecting actual data records
  • User interface designed with high-contrast elements and large touch targets to enable operation with gloves and in bright sunlight
  • Robust data handling infrastructure supporting high-volume daily scans and secure real-time uploads
  • Configurable settings for environmental adaptability and device overheating management

Preferred Tech Stack and Architectural Approaches

React Native for cross-platform mobile development
Cloud services (e.g., AWS or similar) for backend support, data storage, and deployment pipelines
CI/CD pipelines for efficient updates and testing
Optimized image processing libraries for barcode scanning

Essential External System Integrations

  • Backend database systems for storing scan data and operational logs
  • Real-time data sync services to ensure operational continuity
  • User authentication and authorization modules

Critical Non-Functional System Attributes

  • High scalability to support processing of several hundred thousand scans daily
  • Operational reliability under extreme weather conditions (sunlight, rain, temperature extremes)
  • Glove-compatible touch interactions and high-contrast UI for outdoor usability
  • Security measures for data privacy and secure access
  • Performance benchmarks ensuring minimal latency in barcode recognition and data upload

Projected Business Benefits from the Implementation

The deployment of this rugged barcode scanning app aims to significantly enhance operational efficiency by enabling real-time, accurate tracking of berry harvests, reduce manual entry errors, and streamline packing processes. Expected outcomes include processing hundreds of thousands of scans daily with high reliability, leading to improved data accuracy, better inventory management, and informed decision-making that supports sustainable growth and increased productivity in the agricultural supply chain.

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