Flying Pest Insects Activity Detection in an Agricultural Field using 3D Lidar Data and Machine Learning | Funder: DSERU Interim Funding
Investigators: Anwaar Ul Haq, Manoranjan Paul, Lihong Zheng
Period: 2021 - 2022
Funding Amount: $10,000
Outcomes: Focussing on the development of precision agriculture applications based on 3D Lidar to influence a new standard in vegetation biomass calculation, crop yield prediction, crop damage detection, solid surface analysis and precise pest control. The project team aims to publish a Q1 Journal paper. |
Data-driven trust management architecture for IoT- based microservices in agriculture supply chain | Funder: DSERU Interim Funding
Investigators: Ashad Kabir, Lihong Zheng, Zahid Islam, Jonathon Medway, Shawn McGrath, David Swain, William Swain
Period: 2021 - 2022
Funding Amount: $5,000
Outcomes: The project focuses on data collection, sharing and management issues through trust management architectures for IoT-based microservices in agriculture supply chain.
Industry engagement and partnerships were formed to enhance further collaboration and external funding opportunities. The project team aims to produce an SJR Q1 journal paper to demonstrate a tangible outcome from the project. |
