Page 212 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

• Note: This requires robust, accurate sensors and reliable wireless data transmission to a
central system.
• REQ-02: It is critical that the collected data should be visualized on user-friendly
dashboards and accessible through smartphone applications and web browsers.
• Note: The system should provide intuitive and actionable insights to the farmers to aid in
decision-making.
• REQ-03: It is critical to develop and implement predictive models using the collected
data to forecast soil and weather conditions specific to local farms.
• Note: The models should continuously improve through machine learning techniques
and feedback from actual conditions.
• REQ-04: It is critical to aggregate data from multiple farms to support policymaking, best
farming practices, and resource distribution plans.
• Note: Ensure data privacy and security while enabling data sharing for broader agricultural
benefits.

49�4� Sequence diagram

49�5� References

[1] Next-Gen tinyML Smart Weather Station Challenge 2024, https:// challenge .aiforgood .itu
.int/ match/ matchitem/ 91.
[2] Next-Gen tinyML Smart Weather Station Challenge 2024 Report, https:// github .com/ ITU
-AI -ML -in -5G -Challenge/ ITU -2024 -GenStorm -Submission -Next -Gen -TinyML -Smart -Weather
-Station/ blob/ main/ Next -Gen -TinyML -Smart -Weather -Station -GenStorm -Report .pdf.

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