Toward On-Device AI and Blockchain for 6G-Enabled Agricultural Supply Chain Management

Zawish, Muhammad, Ashraf, Nouman, Ansari, Rafay, Davy, Steven, Qureshi, Hassaan Khaliq, Aslam, Nauman and Hassan, Syed Ali (2022) Toward On-Device AI and Blockchain for 6G-Enabled Agricultural Supply Chain Management. IEEE Internet of Things Magazine, 5 (2). pp. 160-166. ISSN 2576-3180

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6G envisions artificial intelligence (AI) powered solutions for enhancing the quality of service (QoS) in the network and to ensure optimal utilization of resources. In this work, we propose an architecture based on the combination of unmanned aerial vehicles (UAVs), AI, and blockchain for agricultural supply chain management with the purpose of ensuring traceability and transparency, tracking inventories, and contracts. We propose a solution to facilitate on-device AI by generating a roadmap of models with various resource-accuracy trade-offs. A fully convolutional neural network (FCN) model is used for biomass estimation through images captured by the UAV. Instead of a single compressed FCN model for deployment on UAVs, we motivate the idea of iterative pruning to provide multiple task-specific models with various complexities and accuracy. To alleviate the impact of flight failure in a 6G-enabled dynamic UAV network, the proposed model selection strategy will assist UAVs to update the model based on the runtime resource requirements.

Item Type: Article
Additional Information: Funding information: This research was supported by Science Foundation Ireland and the Department of Agriculture, Food and Marine on behalf of the Government of Ireland VistaMilk research center under the grant 16/RC/3835.
Uncontrolled Keywords: on-device AI, deep neural networks, edge computing, 6G, blockchain, agriculture
Subjects: G400 Computer Science
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Rachel Branson
Date Deposited: 27 Sep 2022 09:14
Last Modified: 27 Sep 2022 09:15

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