In sustainable computing, Intelligent Decision Support Systems (IDSS) have been adopted for prediction, optimization and decision making challenges under variable number constraints based on un-structured data. The traditional systems are lack of efficiency, limited computational ability, inadequate and impreciseness nature of handling sustainable problems. Despite, Computational Intelligence (CI) paradigms have used for high computational power of intelligence system to integrate, analyze and share large volume of un-structured data in a real time, using diverse analytical techniques to discover sustainable information suitable for better decision making in Internet of Things (IoT) systems in precision agriculture. In addition, CI has the ability to handle complex data using sophisticated mathematical models, analytical techniques. This lecture talk provides a brief overview of computational intelligence (CI) paradigms and its noteworthy character in intelligent decision support and analytics of sustainable computing problems in agronomy. The objective of this talk is to study and analyze the effect of CI for the overall advancement of emerging sustainable computing technologies over IoT in precision agriculture.

 

【主講人】Prof. Arun Kumar Sangaiah

Yushan Young Scholar
Highly Cited Researcher
Professor, National Yunlin University of Science and Technology, Taiwan
VIT University, India

【講題】 Research Trends on Computational Sustainability over IoT and Its Challenges in Precision Agriculture

【時間】 2022/11/4 星期五 1:10-3:00 PM

【地點】成大自強校區電機系館1樓繁城講堂

【報名連結】請於11月3日(含)前於此連結報名