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Application of Information Technology

Smart Pig Farming

      TSC will adopt the modern smart pig farming model by introducing the Internet of Things (IoT) and software to lead the upgrade of both the software and hardware of the domestic pig farming industry. It is expected to save manpower in the pig farms and at the same time increase the efficiency of pig production.
      In addition, it will be developed into big data as an expert system in the future that can be used by the private sectors to upgrade the pig farming industry in Taiwan to a high-tech industry. The functions of such system include the piggery with negative pressure ventilation and water curtain, the high-bed design and scraper system, automatic feeding system, and automated control of equipment. This not only effectively reduces the demands for manpower and promotes industries to transform from labor-intensive to technology-intensive ones, it also provides a comfortable and stable feeding environment in line with EU Animal Welfare Requirements. With the friendly breeding environment and with the control and reduced spread of disease, the breeding efficiency and productivity can thus be further increased.

      The “RFID ear tag positioning and transferring management system”: The sows are attached with RFID tags once entering the farm, and whenever they are moved from the house for mating, the house for pregnant sows or the farrowing house, the handheld or fixed reader installed by the door can read the signals on the ear tag and the pig positioning and transferring management is completed. With the combination of the intelligent management of IoT Technology, manpower utilization can be more effective. In addition, all the corners of the piggery can be effectively monitored and controlled in case of emergencies to avoid equipment failures that may cause threat to pig breeding. Moreover, there are multiple layers of protection measures for the pigs and the biogas center operations, and the risks of breeding and occupational safety can be effectively reduced.

Informationization of Orchid Nursery

      To reduce the shortcomings and elimination rates of existing orchid variety to improve the success rate of test varieties, the Company proposes to combine the IoT, big data analysis and cloud computing to construct a production and marketing system to grasp market trends. With the application of IoT technology, biological data including the selection, mating, cultivation and growing processes and also the environmental control data can be collected for the simulation test to predict the breeding results. The application of big data is to introduce the production and marketing data in the database of the business intelligence analysis of production and marketing system.

Land Management System

      Currently, the company possesses more than 90,000 pieces of land, with approximately 49,710 hectares in land area. If all the data are handled in paperback form and searched in the traditional manual way, it will be hard to cope with the rapidly changing operating environment. Therefore, TSC invested NTD 12.65 million in the development of a geographic information system (GIS).
      With the cadastral maps, cadastral registration, land price data, along with the public land management data and related geographic data, such as the urban planning data and maps of administrative areas, a land management model with this system with GIS graphics and geographic analysis functions is established. The shared geographic information, rapid update of cadastral maps, improved efficiency of land and other assets management and other functions are reached with the digitalization, mobilization and utilization of the environment in an eco-friendly way. This system was awarded the 13th TGIS Gold Map Award by Taiwan Geographic Information Society.

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