Case Study

IoT Digital Farming Management System for Ganzi Xinmai Technology

Ganzi Xinmai Technology Co., Ltd. operates in a high altitude plateau region where traditional ranch farming is extensive and hard to supervise, and where high quality breeding stock resources need protecting.

The Challenge

Traditional plateau farming was described as sloppy and difficult to supervise. Farmers were dealing with farming technique, disease treatment, quarantine and epidemic prevention problems, and with getting animals out of the pen and sold, without a system that could see any of it.

Customer Pain Points

Extensive farming practices with no individual animal records
Supervision of farming practice was difficult across a dispersed area
Disease treatment, quarantine and epidemic prevention were handled without shared data
High quality plateau breeding stock had no protection scheme behind it
Farmers had no support at the point of sale out of the pen

What Raybaca Delivered

Anhui Raybaca IoT Technology built a pure BS architecture IoT digital farming management system platform, developed the matching application for Android PDA handhelds and mobile phones, and delivered training and guidance on both the hardware and the software system.

Pure BS architecture platform built for the digital farming management system

Companion application developed for PDA handheld and Android mobile use

Hardware and software training and guidance delivered to the operator

Supply Chain Coordination

Raybaca supplied the identification hardware and the software platform as one scope, which removed the integration gap between tag, reader and system.

Quality Control

The project passed acceptance on 8 October 2023.

Final Result

The system passed acceptance and put intelligent breeding, precise prevention and control, and industrial extension into a single platform, with improved protection for high quality plateau breeding stock.

Customer Benefit

The operator moved from extensive, hard to supervise farming to a recorded process, with the stated goals of reducing cost and increasing efficiency and a foundation for further intelligent farming development.