Page 215 - AI for Good-Innovate for Impact

AI for Good-Innovate for Impact

challenges. In expanding the scope of the use case, it would be possible to address a
broader range of issues.
5. Standards Development: Collaboration with relevant stakeholders and organizations
would be pursued to develop standards and guidelines specific to the use case. This
would facilitate interoperability, ethical considerations, and responsible deployment 50-AIPARAGRO
of AI solutions. Establishing standards would ensure the transparency, fairness, and
accountability, fostering trust among users and stakeholders.
6. Setup Reference Tools and Simulation Environment: A dedicated effort would be made to
develop reference tools, notebooks, and simulation environments that can be utilized by
researchers, practitioners, and policymakers. These resources would provide a practical
framework for implementing and testing AI solutions in the context of the use case.

50�3� Use case Requirements

• REQ-01: It is critical that the Alparagro crop monitoring solution provide farmers with
insights relevant to monitor moisture, diseases, pests and weeds, plant nutrition, estimate
yields and monitor harvesting.
• REQ-02: It is critical that the project integrates satellite technology with UAV and scouts’
imagery into the crop monitoring process. This would ensure that satellite imagery is
actioned and supplementary imagery is produced through use of drones and scouts on
identified hotspots to enhance decision making.
• REQ-03: It is critical that the system accepts field data from the farmer, requests and stores
satellite imagery data, crop analysis data, and generates relevant crop monitoring results
for the farmer.
• REQ-04: It is critical that the system continuously ingests the datasets, trains and
retrains, integrates into production systems, visualizes model output, monitors model
performance, and generates reports and recommendations to farmers and agronomists.

50�4� Sequence Diagram

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