Page 14 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

Pilot setups via Sandboxes can help in assimilating local communities and utilities into the
solution. For example, in [51], fire detection and propagation models are tested and validated,
and alarms are used to provide advanced information to local communities and utilities.

7) Storage and computing via Core Cloud and Edge Cloud

Computation available at the edge, either provided using public, open, or private infrastructure
would enable vertical applications to pool and host time-critical applications closer to the user.
Coordination of satellite data [51] and the addition of geospatial capabilities and infrastructure
would create value and stimulate the economy around geospatial data. Cloud hosting of open
data, schemes, policies in machine-readable format [49], open portals, and real-time updates
from agencies [50] including visualization dashboards and mobile apps

For example, In the Peatland Forest fire prediction use case [48], the LoRa gateway was
deployed to distribute the workflow and ensure a low-latency network. In the soil moisture
testing use case (see clause 4.1.9), edge storage was applied to speed up the process and
secure the accuracy of the system. In the IoT-based crop monitoring use case (see clause
4.1.10), edge data is acquired.

3. Case Studies

As part of our studies on use cases, and our detailed discussions with the use case authors,
we have selected certain case studies which bring out the benefits (or lack of it) for increasing/
measuring AI readiness. We especially focus on those case studies that utilize the readiness
factors mentioned in Section 1 above. In addition, we look for clear metadata, supporting
references, and published research papers, with experimentation that can practically showcase
the benefits of AI readiness on these terms.

Each case study is mapped to the 6 readiness factors listed in clause 2 above and the instances
of the readiness factors are explained for each case study.

3.1 Case Study-1: IoT-based Environment Monitoring Based on
Standard Indices

This case study involves a set of use cases that monitor environment parameters such as soil
sensors, piezometers, water level sensors, etc., and infer standardized indices for specific use
cases e.g. groundwater level (GWL) mapped to drought codes (DC). The area of coverage
may be quite large, for example, multiple hectares of forest land. Verification of sensed data
and inferred data with ground truth in collaboration with experts is an essential characteristic
of such use cases. Communication networks, including data format conversions, are important
standard requirements for such use cases.

Net-Peat-Zero [48]: Networked Association of Southeast Asian Nations (ASEAN) Peatland
Forest for Net-Zero delivered by University Putra Malaysia is an excellent example of a use case
with real-world deployment and its application of open data, which is accessible to everyone.
This use case presents the possibility of leveraging AI in predicting Forest Fire in peatland areas
in South Asia. An improved tropical peatland fire weather index (FWI) system is proposed, by
combining the groundwater level (GWL) with the drought code (DC). To monitor the peatland,

6