<p>Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML</p>

Kunal Prasad; Krishna Kumar; Aravind S; Shabarinath Nair; Dhruv Puri

doi:10.21955/gatesopenres.1116674.1

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Prasad K, Kumar K, S A et al. Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML [version 1; not peer reviewed]. Gates Open Res 2020, 4:140 (poster) (https://doi.org/10.21955/gatesopenres.1116674.1)

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Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML

Kunal Prasad, Krishna Kumar, Aravind S, Shabarinath Nair, Dhruv Puri¹

Published 24 Sep 2020 (https://doi.org/10.21955/gatesopenres.1116674.1)

Author Affiliations

¹ CropIn, India

Copyright © 2020 Prasad K et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 24 Sep 2020

Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML
[version 1; not peer reviewed]

Kunal Prasad, Krishna Kumar, Aravind S, Shabarinath Nair, Dhruv Puri¹

Author Affiliations

¹ CropIn, India

Abstract

Gates Foundation grant number

INV-GC2020

Competing Interests

No competing interests were disclosed

Keywords

cropin, insurance payout, agri-lending, artificial intelligence, machine learning, crop yield, smallholder farmers, CCE, agtech, tech4good, AIforchange

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Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML

Optimising Insurance Payouts and Estimation of Crop Yield to Support Agricultural Decision Making with AI & ML
[version 1; not peer reviewed]

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