Data

Research Data Supporting the MetaCropZ Smart Agriculture Architecture

Central Queensland University
Gopi Akella (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/32832995.v1&rft.title=Research Data Supporting the MetaCropZ Smart Agriculture Architecture&rft.identifier=10.25946/32832995.v1&rft.publisher=Central Queensland University&rft.description=This dataset comprises the experimental data generated during the design, implementation, and evaluation of the MetaCropZ smart agriculture framework. It includes AI model evaluation outputs, blockchain transaction records, crop lifecycle metadata, smart contract execution logs, role-based access control validation results, IPFS content identifiers (CIDs), workflow execution data, and performance measurements used to validate the proposed architecture.&rft.creator=Gopi Akella&rft.date=2026&rft_rights= https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Agricultural systems analysis and modelling&rft_subject=Information systems for sustainable development and the public good&rft_subject=Knowledge representation and reasoning&rft_subject=Planning and decision making&rft_subject=Knowledge and information management&rft_subject=Automated software engineering&rft_subject=blockchain&rft_subject=artificial intelligence&rft_subject=smart agriculture&rft_subject=microservices architecture&rft_subject=dynamic self-attention&rft_subject=dual token&rft_subject=crop lifecycle traceability&rft.type=dataset&rft.language=English Access the data

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This dataset comprises the experimental data generated during the design, implementation, and evaluation of the MetaCropZ smart agriculture framework. It includes AI model evaluation outputs, blockchain transaction records, crop lifecycle metadata, smart contract execution logs, role-based access control validation results, IPFS content identifiers (CIDs), workflow execution data, and performance measurements used to validate the proposed architecture.

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ACN 633 798 857