Page 242 - India Insurance Report 2023- BIMTECH

230 India Insurance Report - Series II

Mapping and GIS Integration : Incorporate mapping and geographic information system (GIS)
capabilities into the software. This integration allows Stakeholders to visualize field data, create accurate
maps, and make informed decisions based on spatial information.

Autonomous Navigation : Develop algorithms for autonomous navigation of UGVs and UAVs. These
algorithms should enable precise positioning, path planning, and obstacle avoidance to ensure efficient
and safe operations in the field.
Data Visualization and Reporting : Create a user-friendly interface that visualizes data insights and
provides Stakeholders with intuitive reports and actionable recommendations. The software should
present information in a clear and concise manner to facilitate decision-making.

Cloud Computing and Connectivity : Utilize cloud computing infrastructure to handle data storage,
processing, and scalability requirements. The software should also support seamless connectivity to
enable real-time data transmission between field devices and the cloud-based system.

API Integration: Provide API integration capabilities to allow interoperability with other precision
agriculture tools, equipment, or third-party software. This enables Stakeholders to leverage existing
technologies and data sources for a comprehensive solution.
User Training and Support: Develop comprehensive user training materials and provide ongoing
technical support to ensure Stakeholders can effectively utilize the software and AI capabilities. This
includes documentation, tutorials, and responsive customer support channels.

Historical yields at the desired insurable yields are needed for calculating risk profile and premiums.
This data is generally not available at the desired scale. Depending upon the need and urgency, the
Stakeholders in collaboration with AICI should commission projects to develop such estimates of
threshold yields of major crops at the desired insurable unit scale for the past 10 years. Both agencies
should make the data of CCEs and block/tehsil yields available for this purpose. The approach used
should be the same as finalized for CCEs (see earlier recommendation #5) in order to have consistency
in the process for generating threshold yields and premium rates.

Wherever WBCIS is to be implemented, agro-ecological region-specific weather triggers should be
redeveloped using integrated approach of statistics, historical weather data, crop models and remote sensing
data that can maximize farmers’ satisfaction and optimize the loss ratio while keeping premiums within limit.

Further to emphasis on needs of technology adoptions at all sub-processes and enabling free flow of
data across the stakeholders’ technology layers. APIs/SaaS and Plug and play technology integrations
will ensure removing bias and errors inherent in manual processes.

Reference High Level Diagrams of Global Network and Secure Application Access