Insurance fraud identification using computer vision and iot: a study of field fires

S Sahni, A Mittal, F Kidwai, A Tiwari… - Procedia Computer …, 2020 - Elsevier
Insurance fraud detection has always been manual labor relegated to claim agents, who
examine the facts and reach on an intuition-based conclusion. The following article …

Assessing effectiveness of agricultural adaptation strategies in context of crop loss: a case study of the Indian subcontinent

D Swami, D Parthasarathy - Regional Environmental Change, 2022 - Springer
Inevitability of climate change and stressors such as insects, pests, scarcity of water
resources, and poor socio-economic condition of farmers have led to a substantial reduction …

From index to indemnity insurance using digital technology: Demand for picture-based crop insurance

F Ceballos, B Kramer - 2019 - papers.ssrn.com
Production risk is pervasive in agriculture, yet smallholder farmers lack access to quality
insurance. This is due to asymmetric information in markets for indemnity insurance, and …

Economics of Risk-Sharing

SM Irshad - Economics of Disasters and Climate Change: Risk and …, 2024 - Springer
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The role of asymmetric information in multi-peril picture-based crop insurance: Field experiments in India

F Ceballos, B Kramer - 2021 - papers.ssrn.com
Smallholder farmers in developing countries generally lack access to affordable agricultural
insurance, in part because of high loss verification costs and asymmetric information in …

[PDF][PDF] From Index to Indemnity Insurance using Farmers' Ground Pictures: The Demand for Picture-Based Crop Insurance

F Ceballosa, B Kramera - 2018 - researchgate.net
Production risk is pervasive in agriculture, yet smallholder farmers across the developing
world lack access to quality insurance coverage due to high basis risk, limited trust and poor …