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Work item:
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Y.Suppl.83 (ex Y.Sup.DigitalAgri_usecases)
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Subject/title:
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Optimizing Digital Agriculture with Best Practices for Integrating AI and IoT
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Status:
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Agreed on 2024-07-12
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ITU-T SG5, SG11, SG13 and SG16, ETSI, ISO, IEEE, ISO/TC23/SC3, 6, 18, 19, and ISO/IEC JTC1/SC41, 42
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Supporting members:
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Fraunhofer Heinrich-Hertz Institute Berlin, Egypt
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Summary:
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This Supplement provides a detailed analysis of how AI and IoT technologies are revolutionizing digital agriculture. It includes numerous use cases demonstrating successful implementations, highlighting their objectives, innovations, data collection methods, and AI/ML algorithms used. The report assesses accuracy, performance, deployment status, and the benefits of these technologies. It also evaluates environmental impacts, offering recommendations for enhancing productivity, sustainability, and efficiency in agriculture. Future research directions and potential advancements are explored to guide further innovation and standardization in this field.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2024-07-17 14:05:06
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Last update:
2025-02-13 15:12:28
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