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Dr Abhik Banerjee
Associate Director | Digital Innovation Lab - Senior Research Fellow,
Swinburne University of Technology
Smart Farming and the Benefits of IIoT in the Agri-Food Industry
Industrial Internet of Things (IIoT) is improving farming methods by providing connectivity and intelligence via automated systems and monitoring. With the increasing availability and reducing costs of data capture using IIoT, it is now easier to capture data at scale. However, using the captured data to improve productivity, reducing the operating costs, waste, energy and supporting traceability is often not straightforward. In this session, we outline our approach to systematic transitioning to data-driven decision-making using Industry 4.0/5.0 technologies when you do not know how or where to start or want to take your next step in digital capability. We will present specific use-cases from the agri-food industry that have used our approach to gain improvements in product quality, productivity and to track supply chains in real time.
About Abhik:
Dr. Abhik Banerjee has research, innovation, and product development expertise in the Internet of Things. His professional background spans industry and research organisations in India, Singapore, France and Australia, including stints at global technology companies such as Samsung and Bosch. His work has focused on practical industry problems that require research based IoT solutions encompassing sensing, networking, analytics and machine learning. He obtained his Phd from Nanyang Technological University, Singapore in 20122, and BE from National Institute of Technology, Durgapur, India in 2005. He is currently a Senior Research Fellow and Associate Director at Digital Innovation Lab, Swinburne University of Technology, where his work involves the development of Industry 4.0 solutions for the Australian manufacturing sector.
Industrial Internet of Things (IIoT) is improving farming methods by providing connectivity and intelligence via automated systems and monitoring. With the increasing availability and reducing costs of data capture using IIoT, it is now easier to capture data at scale. However, using the captured data to improve productivity, reducing the operating costs, waste, energy and supporting traceability is often not straightforward. In this session, we outline our approach to systematic transitioning to data-driven decision-making using Industry 4.0/5.0 technologies when you do not know how or where to start or want to take your next step in digital capability. We will present specific use-cases from the agri-food industry that have used our approach to gain improvements in product quality, productivity and to track supply chains in real time.
About Abhik:
Dr. Abhik Banerjee has research, innovation, and product development expertise in the Internet of Things. His professional background spans industry and research organisations in India, Singapore, France and Australia, including stints at global technology companies such as Samsung and Bosch. His work has focused on practical industry problems that require research based IoT solutions encompassing sensing, networking, analytics and machine learning. He obtained his Phd from Nanyang Technological University, Singapore in 20122, and BE from National Institute of Technology, Durgapur, India in 2005. He is currently a Senior Research Fellow and Associate Director at Digital Innovation Lab, Swinburne University of Technology, where his work involves the development of Industry 4.0 solutions for the Australian manufacturing sector.
Sessions
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