The “Digital Twin Solutions for Smart Farming” was developed by DSI with the support of Ministry of Economic Affairs’ Department of Industrial Technology, and Council of Agriculture’s Taiwan Agricultural Research Institute. The technology competed against over a thousand innovative technologies from around the world in the very competitive software and service category to win the “R&D 100 Awards” in the US. The “Scooter2INfra Safety System” from SSI also won a merit award in the “Public/Private Partnership Award” of the WITSA Global ICT Excellence Award. The 23rd World Congress on IT is generally considered the Olympics of the ICT industry so this represented double recognition for III’s hardwork.
Combining Farmer Experience with Artificial Intelligence.
The traditional agricultural and fishing industries have always been at the mercy of the weather. Their digital transformation has now been made possible by the “Digital Twin Solutions for Smart Farming” technology that combines HI (Human Intelligence) and AI (Artificial Intelligence). Farmers can use their personal experience and field observations to adjust the parameters of their equipment, run simulation forecasts and make optimal decisions. The AI learns dynamically from the experience and knowledge of farmers to realize collaborative operations and optimize decision-making. The traditional agricultural and fishing industries can not only be upgraded but also pass on their experiences for sustainable management.
The application of “Digital Twin Solutions for Smart Farming” technology to agricultural digitization by the cross-domain team at III is expected to reduce the introduction costs for farmers by 50% and increase productivity by 30%. In the future, this technology should enhance the “smart monitoring” and “precision production “ for high-tech farmers. The increased productivity will help newcomers become high-tech farmers with ease.
Building a Low-cost and Highly Safe Traffic Environment
The motor scooter is used by 67% of the Taiwanese population. It also accounted for more than 70% of traffic accidents, injuries and fatalities. III invested in the development of a scooter safety alert system to help solve this problem. Internet-of-Things (IoT) technology was appliedto protect cars and motor scooters by a “vehicular-based” approach to improve traffic safety.
SSI partnered with the industry, university and research sectors to jointly develop the Scooter2Infra Safety System. Active RFID along with radars and cameras are used to detect vehicles and detect traffic hazards. LED warning signs are then used to alert drivers to road conditions. The result is a low-cost V2I (Vehicle-to-Infrastructure) environment that is easy to roll-out.
III began trialing the Scooter2Infra Safety System at National Dong Hwa University (NDHU), National Kaohsiung University of Science (NKUST) and Technology, and Fo Guang University (FGU) in January 2018. The results showed a significant improvement to traffic safety on campus with traffic accidents reduced by 35% at NDHU and by 50% at FGU. Hopefully, more empirical results will enable the introduction of Image recognition and deep learning systems in the future to build a safe traffic environment at low cost.