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Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data

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  • Li, Ziyue
  • Zhang, Zhao
  • Zhang, Lingyan

Abstract

Accurate estimation of yield losses from natural disasters on a regional scale can guide agronomic management and agricultural insurance, transfer disaster risk, and ensure food security. Conventional yield losses, however, mainly depend on historical events, for which detailed records of locations and losses are unavailable.

Suggested Citation

  • Li, Ziyue & Zhang, Zhao & Zhang, Lingyan, 2021. "Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data," Agricultural Systems, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:agisys:v:191:y:2021:i:c:s0308521x21000949
    DOI: 10.1016/j.agsy.2021.103141
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    1. Swenja Surminski & Laurens M. Bouwer & Joanne Linnerooth-Bayer, 2016. "How insurance can support climate resilience," Nature Climate Change, Nature, vol. 6(4), pages 333-334, April.
    2. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    3. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    4. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432.
    5. Thomas O. Knight & Keith H. Coble, 1997. "Survey of U.S. Multiple Peril Crop Insurance Literature Since 1980," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 128-156.
    6. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    7. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    8. Chaudhary, T. N. & Bhatnagar, V. K., 1980. "Wheat root distribution, water extraction pattern and grain yield as influenced by time and rate of irrigation," Agricultural Water Management, Elsevier, vol. 3(2), pages 115-124, November.
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    Cited by:

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    2. Riao, Dao & Guga, Suri & Bao, Yongbin & Liu, Xingping & Tong, Zhijun & Zhang, Jiquan, 2023. "Non-overlap of suitable areas of agro-climatic resources and main planting areas is the main reason for potato drought disaster in Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 275(C).
    3. Liu, Cong & Li, Kaiwei & Zhang, Jiquan & Guga, Suri & Wang, Rui & Liu, Xingpeng & Tong, Zhijun, 2023. "Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China," Agricultural Water Management, Elsevier, vol. 277(C).
    4. Monteleone, Beatrice & Borzí, Iolanda & Arosio, Marcello & Cesarini, Luigi & Bonaccorso, Brunella & Martina, Mario, 2023. "Modelling the response of wheat yield to stage-specific water stress in the Po Plain," Agricultural Water Management, Elsevier, vol. 287(C).
    5. Yining Ma & Suri Guga & Jie Xu & Jiquan Zhang & Zhijun Tong & Xingpeng Liu, 2021. "Comprehensive Risk Assessment of High Temperature Disaster to Kiwifruit in Shaanxi Province, China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    6. Luo, Li & Sun, Shikun & Xue, Jing & Gao, Zihan & Zhao, Jinfeng & Yin, Yali & Gao, Fei & Luan, Xiaobo, 2023. "Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation," Agricultural Systems, Elsevier, vol. 210(C).

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