Abstract: This disclosure relates generally to automated methods and systems for assessing moral hazard and adverse selection in agricultural insurance that assist an insurer, re-insurer by generating recommendations for adoption of crop protocols using the dynamic Crop Protocol (DFI) engine of insurance companies during the crop cycle (CP). A moral score is computed based on an adoption index, a crop health index and a weather index. The moral hazard score is further used to dynamically determine a moral hazard level that indicates a correlation between one or more parameters derived from the acquired data and classified as low, moderate, and high based on the correlation. The method of present disclosure aids to under-write the insurance and associated risk based policy effectively and efficiently for determining eligible claim payout to minimize manual error and mitigate faulty loss assessment.

Abstract: The agricultural lending decision making process is complex due to various issues. Most of the financial institutions relied on subjective analysis to assess the credit risk of borrowers. A method and system for assessing credit worthiness of a farmer and risks associated with a farm have been provided. The credit worthiness of the farmer and risk associated with farm is assessed by aggregating data which significantly influence the farmer credit repayment ability. The system is configured to calculate farm credit risk score based on the farm capability, farmer socioeconomic traits and entrepreneurial quality which helps to assess credit worthiness of farmer accurately. The credit worthiness of the farmer is analyzed using satellite data, field data from the farm and risks associated with them. The farm credit risk score is calculated in real time basis to every farm loan sanctioned by the lending institutions to safeguard their loss and non-performing loans.

Abstract: There are many administrative processes which require a user to enter handwritten data on ordinary paper forms. This data is then further processed and converted in the digitized form. In the existing methods, the turnaround time for whole process is high, lacks accuracy of the digitized data, and cost is also on the higher side. A system and method for real time digitization of hand written input data has been provided. The system comprises an input device that utilizes a pen and paper input form which is filled by a user in his hand writing. The completed form data is then transferred to a form inspector application that runs on the aggregation device. It allows for applications to be verified for completeness and send the same for real-time digitization using a form processor application. A recognition engine is then used for the digitization of the hand written input data.

Abstract: There are many administrative processes which require a user to enter handwritten data on ordinary paper forms. This data is then further processed and converted in the digitized form. In the existing methods, the turnaround time for whole process is high, lacks accuracy of the digitized data, and cost is also on the higher side. A system and method for real time digitization of hand written input data has been provided. The system comprises an input device that utilizes a pen and paper input form which is filled by a user in his hand writing. The completed form data is then transferred to a form inspector application that runs on the aggregation device. It allows for applications to be verified for completeness and send the same for real-time digitization using a form processor application. A recognition engine is then used for the digitization of the hand written input data.