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Development of a Mobile and Cloud-Based Data Collection and Sharing Platform for Agricultural Crop Monitoring
  1. case
  2. Development of a Mobile and Cloud-Based Data Collection and Sharing Platform for Agricultural Crop Monitoring

Development of a Mobile and Cloud-Based Data Collection and Sharing Platform for Agricultural Crop Monitoring

rolemodelsoftware.com
Agriculture
Supply Chain
Technology

Identified Challenges in Field Data Collection and Secure Sharing for Agricultural Operations

Agricultural professionals and crop consultants encounter inefficiencies with current desktop-based data recording methods, limited sharing capabilities, and difficulties in offline data entry during fieldwork. Existing systems lack seamless integration with cloud storage, secure collaboration among multiple stakeholders, and support for IoT-enabled future strategies.

About the Client

A mid-sized agricultural technology company seeking to enhance crop data collection, secure sharing, and integration within IoT ecosystems to streamline farm management and collaborative crop monitoring.

Goals for an Enhanced Mobile and Cloud Data Management System in Agriculture

  • Develop a native mobile application for tablets that enables efficient and user-friendly data collection in the field.
  • Implement a secure cloud-based platform for data transfer, storage, and sharing, supporting role-based access control.
  • Ensure offline data entry capabilities with synchronization once connectivity is restored.
  • Design APIs facilitating interoperability between mobile data collection tools and cloud storage, enabling easy retrieval and storage of crop data.
  • Position the system to integrate with IoT devices and sensors for future expansion of data sources.

Core Functional Requirements for Crop Data Collection & Collaboration Platform

  • Native tablet application optimized for field data entry with CAD-friendly workflows.
  • Offline mode allowing data entry without active internet connection, with automatic synchronization upon reconnection.
  • Role-based access controls to manage permissions for growers, consultants, and third-party vendors.
  • Cloud storage for secure, centralized data management with traceability and audit logs.
  • APIs for data transfer between mobile app, desktop systems, and cloud platform, supporting easy data retrieval and updates.
  • User customization options to tailor data entry workflows to meet individual crop observation needs.
  • Scalable architecture prepared for integration with IoT sensors and future data sources.

Technological Preferences for Mobile, Cloud, and API Development in Agriculture

Native iPad application development (e.g., Swift/iOS SDK) for optimal usability in field conditions.
Cloud backend architecture supporting RESTful APIs for secure data transfer and storage.
API design incorporating existing user permissions and role management, allowing third-party access.
Synchronous and asynchronous data synchronization protocols for offline capabilities.
Scalable database solutions capable of handling growing datasets.

Essential System Integrations for Data Sharing and IoT Compatibility

  • APIs to connect the mobile app with cloud storage solutions.
  • Third-party systems for data retrieval and sharing based on role permissions.
  • IoT device and sensor integrations for future data collection enhancements.

Non-Functional System Requirements for Performance, Security, and Scalability

  • Data security conforming to industry standards and encryption for stored and transferred data.
  • High availability and reliable synchronization even in environments with intermittent internet connectivity.
  • System scalability to accommodate an increasing number of users and data volume.
  • Fast response times for data access and synchronization to enhance user experience.
  • Compliance with relevant data privacy regulations.

Projected Business Benefits of the Crop Data Management Platform

The new system is expected to significantly improve data entry efficiency, reduce time spent on record keeping, and enhance collaboration among stakeholders. It will provide a modern, secure, and scalable platform capable of supporting IoT integration, positioning the client as a leader in digital agriculture. Anticipated outcomes include faster decision-making, better data accuracy, and an ability to expand data-driven services across the farm management ecosystem.

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