Ismail Parewai is a doctoral researcher at the Kyushu Institute of Technology in Japan. Growing up in Betao, South Sulawesi, where farming is central to life, Parewai witnessed farmers’ struggles, including limited resources and lack of internet access. These experiences inspired his commitment to addressing challenges in farming communities. He earned his bachelor’s degree in Computer Science from Muhammadiyah University of Parepare, Indonesia, and his master’s degree at the Kyushu Institute of Technology in 2020. His master’s research focused on image processing to identify and classify sashimi using multispectral imaging, presented at the 2020 ACM International Conference on Asia Pacific Information Technology (APIT). This project solidified his dedication to using computational methods for real-world solutions. His doctoral research involves developing digital twin systems for soil moisture prediction by integrating physically based rendering simulations with machine learning. This work improves soil monitoring, supports sustainable farming practices, and optimizes resource management. His ultimate goal is to contribute to global food security by creating solutions that benefit agriculture and other sectors requiring efficient systems. The potential impact of this work motivates his research and commitment to advancing sustainability.
