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Integrated Digital Ecosystem for Large-Scale Dairy Farm Management
  1. case
  2. Integrated Digital Ecosystem for Large-Scale Dairy Farm Management

Integrated Digital Ecosystem for Large-Scale Dairy Farm Management

lionwood.software
Agriculture

Challenges in Managing and Harmonizing Data for Expanding Dairy Operations

Rapid growth in dairy farm operations has resulted in complex data management challenges, including coordinating heterogeneous data sources, ensuring data consistency, and enabling real-time decision-making. The client requires a flexible digital ecosystem that connects various stakeholders—such as herd managers, back-office staff, and transportation personnel—to streamline processes and support expansion goals.

About the Client

A large-scale dairy farming enterprise seeking to enhance operational efficiency, data management, and stakeholder communication through integrated mobile and web applications.

Objectives for Developing an Integrated Dairy Farm Management System

  • Augment existing development capabilities with senior engineering expertise to ensure scalable and robust system design.
  • Develop a mobile application for managing large herds, allowing efficient herd oversight and management on-site.
  • Create a web-based reporting and data visualization platform to monitor critical herd metrics, generate reports, and support data-driven decisions.
  • Implement a dual-platform application for transportation personnel to accurately record logistics data, including load weights, without leaving their vehicles.
  • Align technological solutions with a comprehensive data management strategy to facilitate future scaling and integration.

Core Functional Requirements for the Dairy Management Digital Ecosystem

  • Mobile app for herd management, enabling field personnel to monitor and manage cow herds on large farms.
  • Web application for back-office data aggregation, report generation, and visualization, including metrics such as pH levels, milk fat content, and herd size.
  • Dual-platform mobile/tablet app for transportation staff to record load weights and logistical information in real-time.
  • Data export capabilities (e.g., PDF reports) and visualization tools for comprehensive analysis.
  • Synchronization features to ensure data consistency across mobile and web platforms.

Technology Stack and Architectural Preferences for System Development

.NET for backend development
React and Redux for frontend development
Kotlin and Java for mobile application development

External System Integrations Needed

  • Data sources from herd sensors and laboratory systems
  • Logistics and transportation management systems
  • Reporting and analytics tools

Non-Functional System Requirements and Performance Metrics

  • System scalability to support large farms and increasing data volumes
  • High performance to enable real-time data processing and reporting
  • Robust security measures to ensure data confidentiality and integrity
  • User-friendly interfaces for diverse user roles

Expected Business and Operational Impact of the Digital Farm Management System

By implementing an integrated digital ecosystem encompassing mobile and web applications, the client aims to increase operational efficiency, improve data accuracy, and facilitate data-driven decision-making. Anticipated outcomes include streamlined workflows for large-scale herd management, more effective resource allocation, and enhanced stakeholder collaboration—ultimately supporting business growth, sustainability, and industry leadership.

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