In This Video You Will know "How AI is used to streamline Pradhan Mantri Fasal Bima Yojana".
The Government of India launched Pradhan Mantri Fasal Bima Yojana (PMFBY), a nationwide crop insurance program in 2016. The system which offers an extensive insurance cover against the failure of the crops was to help stabilize the income of the farmers. Traditionally, the government relied on arbitrary survey techniques to estimate the crop yields of a given location. Nevertheless, the method was extremely cumbersome. Thus the government chose to use artificial intelligence as well as machine learning technologies along with remote sensing imageries, as well modeling tools to reduce the time lag for settling of claims of the producers.
You will find 2.5 lakh gram panchayats in India. It was extremely difficult to conduct accurate and reliable Crop Cutting Experiments of the nation at scale within a short harvesting window. data collection was tough. Therefore, the government required a robust system for assessing crop loss as well as foolproofing the insurance claim settlement process. To streamline the Crop Cutting process and make it more scalable and accurate, the Central Government partnered with CropIn Technology Solutions, a Bangalore-based AI organization. Harnessing AI, CropIn provided technical assistance to conduct a dependable, precise, and large-scale Crop Cutting procedure within a brief harvesting window and limited manpower.
The central government decided to leverage CropIn's SmartRisk and SmartFarm solutions to allow efficient and accurate delivery of the Crop cutting process and consequently ensuring regular clearance of the insurance claims. The digital farm management solutions brought all of the stakeholder's farmers, government agencies, insurance companies, and economic institutions on a single platform enabling better administration, and bringing transparency of the task by offering real-time info and monitoring. SmartFarm captures the precise location as well as dimensions of the farm, details of farmers, and the crop details right from the pre-harvest stage. The solution allows transparency, efficiency, and accountability in farms by geotagging. This guarantees that the field data is accurate, enabling authorities to easily use relevant data at the appropriate time. SmartRisk can make use of both ground-level data as well as satellite imagery to determine the plots which are actually apt for these experiments. A highly trained data science staff analyses millions of data points and runs them through many criteria to 0 in on-farm plots that will provide the most accurate sample for the region. With the assistance of this data, authorities could easily recognize the proper plots which were incorporated in the study, eliminating all ambiguity from the procedure of selection. The AI solutions have helped considerably reduce the processing period for settling insurance claims. In the following stage, the company is planning to perform a countrywide program and coverage of main districts in India where farming conflicts are existing.