aiShare Your Requirements
Technologies Involved:
SPRING BOOT
Area Of Work: Machine Learning
Project Description

Herdsy, a forward-looking agritech company, delivers affordable and intelligent livestock management solutions to farmers and conservationists worldwide. The client aimed to replace costly infrastructure with a plug-and-play platform that tracks animal health, farm operations, and profitability. They needed a secure, cloud-based solution integrated with AI and IoT to streamline data analysis and decision-making.

Scope Of Work

The client sought Oodles to address the challenge of collecting and analyzing animal data across diverse environments while reducing operational costs. They required backend and frontend development, database integration, IoT protocol setup, and cloud deployment. Areas of work included device communication, real-time dashboards, financial tracking, and scalable infrastructure design.

Our Solution

To fulfill the client’s vision, a feature-rich farm management system was developed, combining IoT, AI, and cloud technologies into a seamless ecosystem. 

Key Implementations:

  • Backend Services: Built with SPRING Boot 2 and Spring Data JPA to deliver efficient APIs and streamlined service orchestration.
  • Interactive Frontend: Developed using Angular 8 for responsive dashboards that display live animal health and farm metrics.
  • Database Management: Integrated MySQL for structured storage of biological data, operational details, and financial records.
  • IoT Connectivity: Used MQTT protocol with Paho libraries to ensure lightweight and secure device-to-cloud communication.
  • Profitability Tracking: Delivered modules for cost and revenue analysis, empowering farmers to monitor and improve farm profitability.