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Year 2025, Volume: 31 Issue: 3, 590 - 611, 29.07.2025
https://doi.org/10.15832/ankutbd.1557827

Abstract

References

  • Abdi M J, Raffar N, Zulkafli Z, Nurulhuda K, Rehan B M, Muharam F M, Khosim N A & Tangang F (2022). Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods. International Journal of Disaster Risk Reduction, 67, 102653. https://doi.org/10.1016/j.ijdrr.2021.102653
  • Agarwal V, Malhotra S, Dagar V & Pavithra M R (2023). Coping with public-private partnership issues: A path forward to sustainable agriculture. Socio-Economic Planning Sciences 89: 101703. https://doi.org/10.1016/j.seps.2023.101703
  • Aheeyar M, de Silva S, Senaratna-Sellamuttu S & Arulingam I (2019). Unpacking barriers to socially inclusive weather index insurance: Towards a framework for inclusion. Water 11(11): 2235. https://doi.org/10.3390/w11112235
  • Akerlof G A (1978). The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in economics: Readings and exercises (pp. 237–251). Academic Press. https://doi.org/10.1016/B978-0-12-214850-7.50022-X
  • Akter S, Krupnik T J, Rossi F & Khanam F (2016). The influence of gender and product design on farmers’ preferences for weather-indexed crop insurance. Global Environmental Change, 38: 217–229. https://doi.org/10.1016/j.gloenvcha.2016.03.010
  • Arrow K J (1996). The theory of risk-bearing: Small and great risks. Journal of Risk and Uncertainty, 12(1): 103–111. https://doi.org/10.1007/BF00055788
  • Astuti H D (2023). The urgency of agricultural insurance in legal protection efforts for farmers. KnE Social Sciences, 8(18): 666–673. https://doi.org/10.18502/kss.v8i18.14268
  • Bhandary R R, Gallagher K S & Zhang F (2021). Climate finance policy in practice: A review of the evidence. Climate Policy, 21(4): 529–545. https://doi.org/10.1080/14693062.2020.1871313
  • Bhattacharyya P, Santra P, Mandal D & Mondal B (2022). Crop insurance based on payment of ecosystem services. In Pricing of ecosystem services in agriculture: A basis of crop insurance (pp. 1–20). Springer. https://doi.org/10.1007/978-981-19-4416-1_6
  • Bhuyian M, Davit M, Xinbin Z & Zurong Z (2022). The impact of agricultural insurance on farmers’ income: Guangdong Province (China) as an example. PLOS ONE, 17(1): 1–20. https://doi.org/10.1371/journal.pone.0274047
  • Bjerge B & Trifkovic N (2018). Extreme weather and demand for index insurance in rural India. European Review of Agricultural Economics 45(3): 397–431. https://doi.org/10.1093/erae/jbx037
  • Bokusheva R (2018). Using copulas for rating weather index insurance contracts. Journal of Applied Statistics, 45(13): 2328-2356. https://doi.org/10.1080/02664763.2017.1420146
  • Boyd M S, Porth B, Porth L, Tan K S, Wang S & Zhu W (2020). The design of weather index insurance using principal component regression and partial least squares regression: The case of forage crops. North American Actuarial Journal, 24(4): 355–369. https://doi.org/10.1080/10920277.2019.1669055
  • Bucheli J, Conrad N, Wimmer S, Dalhaus T & Finger R (2023). Weather insurance in European crop and horticulture production. Climate Risk Management, 41, 100525. https://doi.org/10.1016/j.crm.2023.100525
  • Bucheli J, Dalhaus T & Finger R (2020). The optimal drought index for designing weather index insurance. European Review of Agricultural Economics, 47(4): 1–25. https://doi.org/10.1093/erae/jbaa014
  • Cajucom N (2022). Agricultural insurance in the Philippines: Innovative product development and scale-up amid climate risks and other hazards. Transactions of the National Academy of Science and Technology, 43(1): 1–10. https://doi.org/10.57043/transnastphl.2021.2395
  • Chen C-L, Deng Y-Y, Tsaur W-J, Li C-T, Lee C-C & Wu C-M (2021). A traceable online insurance claims system based on blockchain and smart contract technology. Sustainability 13(16): 9386. https://doi.org/10.3390/su13169386
  • Collier B, Skees J & Barnett B (2009). Weather index insurance and climate change: Opportunities and challenges in lower income countries. The Geneva Papers on Risk and Insurance - Issues and Practice 34(3): 401–424. https://doi.org/10.1057/gpp.2009.11
  • Dileep N & Kotreshwar G (2023). Theoretical framework to introduce rainfall index-based futures contracts in India. Theoretical & Applied Economics, 30(1): 1–15. Retrieved from https://www.ectap.ro
  • Doherty E, Mellett S, Norton D, McDermott T K J, O'Hora D & Ryan M (2021). A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management 290: 112607. https://doi.org/10.1016/j.jenvman.2021.112607
  • Fan T, Feng Q, Li Y, Shanthikumar J & Wu Y (2023). Output-oriented agricultural subsidy design. SSRN Electronic Journal 1(25): 1–25. https://doi.org/10.2139/ssrn.4378693
  • Giné X, Menand L, Townsend R & Vickery J (2010). Microinsurance: A case study of the Indian rainfall index insurance market. Household Finance eJournal 1(1): 1–30. https://doi.org/10.1596/1813-9450-5459
  • Gulati A, Terway P & Hussain S (2018). Crop insurance in India: Key issues and way forward (Working Paper No. 352). Indian Council for Research on International Economic Relations. https://hdl.handle.net/10419/176379
  • Hess U (2007). Weather index insurance for coping with risks in agricultural production. In M. V. K. Sivakumar & R. P. Motha (Eds.), Managing weather and climate risks in agriculture (pp. 1–20). Springer. https://doi.org/10.1007/978-3-540-72746- 0_22
  • Hisamatsu R, Tabeta S, Kim S & Mizuno K (2020). Storm surge risk assessment for the insurance system: A case study in Tokyo Bay, Japan. Ocean & Coastal Management 189: 105147. https://doi.org/10.1016/j.ocecoaman.2020.105147
  • Jensen N D, Mude A G & Barrett C B (2018). How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya. Food Policy, 74: 172–198. https://doi.org/10.1016/j.foodpol.2018.01.002
  • Kaplan R S & Mikes A (2016). Risk management—the revealing hand. Journal of Applied Corporate Finance 28(1): 8–18. https://doi.org/10.1111/jacf.12155
  • Kaur S, Raj H, Singh H & Chattu V (2021). Crop insurance policies in India: An empirical analysis of Pradhan Mantr i Fasal Bima Yojana. Risks, 9(11): 191. https://doi.org/10.3390/risks9110191
  • Kaylen M S, Loehman E T & Preckel P V (1989). Farm-level analysis of agricultural insurance: A mathematical programming approach. Agricultural Systems, 30(3): 235–244. https://doi.org/10.1016/0308-521X(89)90089-9
  • Kim H C, Lee D, Ngan F, Kim B U, Kim S, Bae C & Yoon J H (2021). Synoptic weather and surface ozone concentration in South Korea. Atmospheric Environment 244: 117985. https://doi.org/10.1016/j.atmosenv.2020.117985
  • Koenig R & Brunette M (2024). Climate change perception, impact, and adaptation of French farmers: Implications for crop insurance development. Revista de Estudios Agroalimentarios y del Medio Ambiente, 105: 333–369. https://doi.org/10.1007/s41130-024-00218-9
  • Kumar K N R & Babu S (2021). Can a weather-based crop insurance scheme increase the technical efficiency of smallholders? A case study of groundnut farmers in India. Sustainability, 13(16): 9327. https://doi.org/10.3390/su13169327
  • Lawrence W, Tarr J-A, Brook N, Chaperon M & Sorel A (2023). Parametric insurance. In The global insurance market and change (1st ed., p. 30). Informa Law from Routledge. https://doi.org/10.4324/9781003319054
  • Li Y & Wang Z (2022). Analysis on the effect of farmer income of policy-based agricultural insurance. Acta Agriculturae Scandinavica, Section B - Soil and Plant Science 72(1): 386–400. https://doi.org/10.1080/09064710.2021.2005820
  • Lybbert T J & Sumner D A (2012). Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion. Food Policy 37(1): 114–123. https://doi.org/10.1016/j.foodpol.2011.11.001
  • Madaki M Y, Kaechele H & Bavorova M (2023). Agricultural insurance as a climate risk adaptation strategy in developing countries: A case of Nigeria. Climate Policy 23(5): 747–762. https://doi.org/10.1080/14693062.2023.2220672
  • Martínez Salgueiro A (2019). Weather index-based insurance as a meteorological risk management alternative in viticulture. Wine Economics and Policy 8(2): 114–126. https://doi.org/10.1016/j.wep.2019.07.002
  • Meuwissen M P M, Hardaker J B, Huirne R B M & Dijkhuizen A A (2001). Sharing risks in agriculture: Principles and empirical results. NJAS - Wageningen Journal of Life Sciences 49(4): 343–356. https://doi.org/10.1016/S1573-5214(01)80022-1
  • Miranda M J & Farrin K (2012). Index insurance for developing countries: A review of evidence and design considerations. Applied Economic Perspectives and Policy 34(3): 391–427. https://doi.org/10.1093/aepp/pps031
  • Mruthyunjaya & Kumar P (1989). Crop economics and cropping pattern changes. Economic and Political Weekly, 24(51/52), A159–A161, A163–A166. https://www.jstor.org/stable/4395740
  • Murthy C S, Choudhary K K, Pandey V, Srikanth P, Ramasubramanian S, Kumar G S, Poddar M K, Milesi C & Nemani R (2024). Transformative crop insurance solution with big earth data: Implementation for potato in India. Climate Risk. Management 45: 100622. https://doi.org/10.1016/j.crm.2024.100622
  • National Portal of India (2024). Home. https://www.india.gov.in/
  • Pandey M V, Sahay A & Chattoraj A K (2023). ICICI Lombard’s predicament post-acquisition of Bharti AXA. Journal of Business Strategy 13(4): 1–10
  • Parthiban J & Anjugam M (2023). A comparative study on the performance of various agricultural crop insurance schemes of India with special reference to Pradhan Mantri Fasal Bima Yojana (PMFBY). Asian Journal of Agricultural Extension, Economics and Sociology 41(3): 1–10. https://doi.org/10.9734/ajaees/2023/v41i31870
  • Patwari S, Ashish S S, Vashisht A, Rajpurohit E & K V (2024). Digital transformation in various sectors of the Indian economy. In Proceedings of the 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS) (pp. 1–6). IEEE. https://doi.org/10.1109/CSITSS64042.2024.10816887
  • Poddar S (2020). Evaluating National Agriculture Insurance Scheme (NAIS) and (Modified) NAIS. Agricultural and Natural Resource Economics eJournal 1(1): 1–20. https://doi.org/10.2139/ssrn.3656554
  • Punia M, Kundu K K & Mehla V (2021). Crop insurance in India: Status of PMFBY against different crop insurance schemes. The Pharma Innovation Journal 10(4S): 82–86. https://doi.org/10.22271/tpi.2021.v10.i4sb.5976
  • Raju K V, Naik G, Ramseshan R, Pandey T, Joshi P, Anantha K H, Kesava Rao A V R, Moses Shyam D & Kumara Charyulu D (2016). Transforming weather index-based crop insurance in India: Protecting small farmers from distress. Status and away forward (Research Report IDC-8). International Crops Research Institute for the Semi-Arid Tropics.
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The Weather Index Insurance Scheme for Crops: Insights from India

Year 2025, Volume: 31 Issue: 3, 590 - 611, 29.07.2025
https://doi.org/10.15832/ankutbd.1557827

Abstract

Weather index insurance for crops is considered a beneficial supplement or even a replacement for traditional agricultural insurance products due to its advantages in payout efficiency and transaction costs. Among the countries implementing weather index insurance, India is one of the most representative. This paper briefly reviews the positioning and evolution of India's Weather-Based Crop Insurance Scheme (RWBCIS) within its agricultural insurance system, systematically elaborating on the specific measures and implementation experiences related to product design, operational systems, and supervisory mechanisms. The study finds that India positions RWBCIS as an effective supplement to traditional crop yield insurance, leveraging the synergy between the two by considering geographical location, land distribution, and climate types. The orderly implementation of RWBCIS is supported by comprehensive insurance data, a robust and transparent information platform, refined product design, and an extensive meteorological network. Additionally, the establishment of crop insurance calendars and supervisory penalty mechanisms clarifies the allocation of responsibilities and enhances the stability and sustainability of the insurance market. The policy approach of implementing RWBCIS in India, along with its specific arrangements
in insurance operation mechanisms, may offer valuable insights for the top-level design of agricultural insurance and product innovation in the world.

References

  • Abdi M J, Raffar N, Zulkafli Z, Nurulhuda K, Rehan B M, Muharam F M, Khosim N A & Tangang F (2022). Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods. International Journal of Disaster Risk Reduction, 67, 102653. https://doi.org/10.1016/j.ijdrr.2021.102653
  • Agarwal V, Malhotra S, Dagar V & Pavithra M R (2023). Coping with public-private partnership issues: A path forward to sustainable agriculture. Socio-Economic Planning Sciences 89: 101703. https://doi.org/10.1016/j.seps.2023.101703
  • Aheeyar M, de Silva S, Senaratna-Sellamuttu S & Arulingam I (2019). Unpacking barriers to socially inclusive weather index insurance: Towards a framework for inclusion. Water 11(11): 2235. https://doi.org/10.3390/w11112235
  • Akerlof G A (1978). The market for “lemons”: Quality uncertainty and the market mechanism. In Uncertainty in economics: Readings and exercises (pp. 237–251). Academic Press. https://doi.org/10.1016/B978-0-12-214850-7.50022-X
  • Akter S, Krupnik T J, Rossi F & Khanam F (2016). The influence of gender and product design on farmers’ preferences for weather-indexed crop insurance. Global Environmental Change, 38: 217–229. https://doi.org/10.1016/j.gloenvcha.2016.03.010
  • Arrow K J (1996). The theory of risk-bearing: Small and great risks. Journal of Risk and Uncertainty, 12(1): 103–111. https://doi.org/10.1007/BF00055788
  • Astuti H D (2023). The urgency of agricultural insurance in legal protection efforts for farmers. KnE Social Sciences, 8(18): 666–673. https://doi.org/10.18502/kss.v8i18.14268
  • Bhandary R R, Gallagher K S & Zhang F (2021). Climate finance policy in practice: A review of the evidence. Climate Policy, 21(4): 529–545. https://doi.org/10.1080/14693062.2020.1871313
  • Bhattacharyya P, Santra P, Mandal D & Mondal B (2022). Crop insurance based on payment of ecosystem services. In Pricing of ecosystem services in agriculture: A basis of crop insurance (pp. 1–20). Springer. https://doi.org/10.1007/978-981-19-4416-1_6
  • Bhuyian M, Davit M, Xinbin Z & Zurong Z (2022). The impact of agricultural insurance on farmers’ income: Guangdong Province (China) as an example. PLOS ONE, 17(1): 1–20. https://doi.org/10.1371/journal.pone.0274047
  • Bjerge B & Trifkovic N (2018). Extreme weather and demand for index insurance in rural India. European Review of Agricultural Economics 45(3): 397–431. https://doi.org/10.1093/erae/jbx037
  • Bokusheva R (2018). Using copulas for rating weather index insurance contracts. Journal of Applied Statistics, 45(13): 2328-2356. https://doi.org/10.1080/02664763.2017.1420146
  • Boyd M S, Porth B, Porth L, Tan K S, Wang S & Zhu W (2020). The design of weather index insurance using principal component regression and partial least squares regression: The case of forage crops. North American Actuarial Journal, 24(4): 355–369. https://doi.org/10.1080/10920277.2019.1669055
  • Bucheli J, Conrad N, Wimmer S, Dalhaus T & Finger R (2023). Weather insurance in European crop and horticulture production. Climate Risk Management, 41, 100525. https://doi.org/10.1016/j.crm.2023.100525
  • Bucheli J, Dalhaus T & Finger R (2020). The optimal drought index for designing weather index insurance. European Review of Agricultural Economics, 47(4): 1–25. https://doi.org/10.1093/erae/jbaa014
  • Cajucom N (2022). Agricultural insurance in the Philippines: Innovative product development and scale-up amid climate risks and other hazards. Transactions of the National Academy of Science and Technology, 43(1): 1–10. https://doi.org/10.57043/transnastphl.2021.2395
  • Chen C-L, Deng Y-Y, Tsaur W-J, Li C-T, Lee C-C & Wu C-M (2021). A traceable online insurance claims system based on blockchain and smart contract technology. Sustainability 13(16): 9386. https://doi.org/10.3390/su13169386
  • Collier B, Skees J & Barnett B (2009). Weather index insurance and climate change: Opportunities and challenges in lower income countries. The Geneva Papers on Risk and Insurance - Issues and Practice 34(3): 401–424. https://doi.org/10.1057/gpp.2009.11
  • Dileep N & Kotreshwar G (2023). Theoretical framework to introduce rainfall index-based futures contracts in India. Theoretical & Applied Economics, 30(1): 1–15. Retrieved from https://www.ectap.ro
  • Doherty E, Mellett S, Norton D, McDermott T K J, O'Hora D & Ryan M (2021). A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management 290: 112607. https://doi.org/10.1016/j.jenvman.2021.112607
  • Fan T, Feng Q, Li Y, Shanthikumar J & Wu Y (2023). Output-oriented agricultural subsidy design. SSRN Electronic Journal 1(25): 1–25. https://doi.org/10.2139/ssrn.4378693
  • Giné X, Menand L, Townsend R & Vickery J (2010). Microinsurance: A case study of the Indian rainfall index insurance market. Household Finance eJournal 1(1): 1–30. https://doi.org/10.1596/1813-9450-5459
  • Gulati A, Terway P & Hussain S (2018). Crop insurance in India: Key issues and way forward (Working Paper No. 352). Indian Council for Research on International Economic Relations. https://hdl.handle.net/10419/176379
  • Hess U (2007). Weather index insurance for coping with risks in agricultural production. In M. V. K. Sivakumar & R. P. Motha (Eds.), Managing weather and climate risks in agriculture (pp. 1–20). Springer. https://doi.org/10.1007/978-3-540-72746- 0_22
  • Hisamatsu R, Tabeta S, Kim S & Mizuno K (2020). Storm surge risk assessment for the insurance system: A case study in Tokyo Bay, Japan. Ocean & Coastal Management 189: 105147. https://doi.org/10.1016/j.ocecoaman.2020.105147
  • Jensen N D, Mude A G & Barrett C B (2018). How basis risk and spatiotemporal adverse selection influence demand for index insurance: Evidence from northern Kenya. Food Policy, 74: 172–198. https://doi.org/10.1016/j.foodpol.2018.01.002
  • Kaplan R S & Mikes A (2016). Risk management—the revealing hand. Journal of Applied Corporate Finance 28(1): 8–18. https://doi.org/10.1111/jacf.12155
  • Kaur S, Raj H, Singh H & Chattu V (2021). Crop insurance policies in India: An empirical analysis of Pradhan Mantr i Fasal Bima Yojana. Risks, 9(11): 191. https://doi.org/10.3390/risks9110191
  • Kaylen M S, Loehman E T & Preckel P V (1989). Farm-level analysis of agricultural insurance: A mathematical programming approach. Agricultural Systems, 30(3): 235–244. https://doi.org/10.1016/0308-521X(89)90089-9
  • Kim H C, Lee D, Ngan F, Kim B U, Kim S, Bae C & Yoon J H (2021). Synoptic weather and surface ozone concentration in South Korea. Atmospheric Environment 244: 117985. https://doi.org/10.1016/j.atmosenv.2020.117985
  • Koenig R & Brunette M (2024). Climate change perception, impact, and adaptation of French farmers: Implications for crop insurance development. Revista de Estudios Agroalimentarios y del Medio Ambiente, 105: 333–369. https://doi.org/10.1007/s41130-024-00218-9
  • Kumar K N R & Babu S (2021). Can a weather-based crop insurance scheme increase the technical efficiency of smallholders? A case study of groundnut farmers in India. Sustainability, 13(16): 9327. https://doi.org/10.3390/su13169327
  • Lawrence W, Tarr J-A, Brook N, Chaperon M & Sorel A (2023). Parametric insurance. In The global insurance market and change (1st ed., p. 30). Informa Law from Routledge. https://doi.org/10.4324/9781003319054
  • Li Y & Wang Z (2022). Analysis on the effect of farmer income of policy-based agricultural insurance. Acta Agriculturae Scandinavica, Section B - Soil and Plant Science 72(1): 386–400. https://doi.org/10.1080/09064710.2021.2005820
  • Lybbert T J & Sumner D A (2012). Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion. Food Policy 37(1): 114–123. https://doi.org/10.1016/j.foodpol.2011.11.001
  • Madaki M Y, Kaechele H & Bavorova M (2023). Agricultural insurance as a climate risk adaptation strategy in developing countries: A case of Nigeria. Climate Policy 23(5): 747–762. https://doi.org/10.1080/14693062.2023.2220672
  • Martínez Salgueiro A (2019). Weather index-based insurance as a meteorological risk management alternative in viticulture. Wine Economics and Policy 8(2): 114–126. https://doi.org/10.1016/j.wep.2019.07.002
  • Meuwissen M P M, Hardaker J B, Huirne R B M & Dijkhuizen A A (2001). Sharing risks in agriculture: Principles and empirical results. NJAS - Wageningen Journal of Life Sciences 49(4): 343–356. https://doi.org/10.1016/S1573-5214(01)80022-1
  • Miranda M J & Farrin K (2012). Index insurance for developing countries: A review of evidence and design considerations. Applied Economic Perspectives and Policy 34(3): 391–427. https://doi.org/10.1093/aepp/pps031
  • Mruthyunjaya & Kumar P (1989). Crop economics and cropping pattern changes. Economic and Political Weekly, 24(51/52), A159–A161, A163–A166. https://www.jstor.org/stable/4395740
  • Murthy C S, Choudhary K K, Pandey V, Srikanth P, Ramasubramanian S, Kumar G S, Poddar M K, Milesi C & Nemani R (2024). Transformative crop insurance solution with big earth data: Implementation for potato in India. Climate Risk. Management 45: 100622. https://doi.org/10.1016/j.crm.2024.100622
  • National Portal of India (2024). Home. https://www.india.gov.in/
  • Pandey M V, Sahay A & Chattoraj A K (2023). ICICI Lombard’s predicament post-acquisition of Bharti AXA. Journal of Business Strategy 13(4): 1–10
  • Parthiban J & Anjugam M (2023). A comparative study on the performance of various agricultural crop insurance schemes of India with special reference to Pradhan Mantri Fasal Bima Yojana (PMFBY). Asian Journal of Agricultural Extension, Economics and Sociology 41(3): 1–10. https://doi.org/10.9734/ajaees/2023/v41i31870
  • Patwari S, Ashish S S, Vashisht A, Rajpurohit E & K V (2024). Digital transformation in various sectors of the Indian economy. In Proceedings of the 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS) (pp. 1–6). IEEE. https://doi.org/10.1109/CSITSS64042.2024.10816887
  • Poddar S (2020). Evaluating National Agriculture Insurance Scheme (NAIS) and (Modified) NAIS. Agricultural and Natural Resource Economics eJournal 1(1): 1–20. https://doi.org/10.2139/ssrn.3656554
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There are 63 citations in total.

Details

Primary Language English
Subjects Agricultural Policy
Journal Section Review
Authors

Tian Yang Luo 0000-0003-1779-1200

Submission Date September 29, 2024
Acceptance Date March 7, 2025
Publication Date July 29, 2025
Published in Issue Year 2025 Volume: 31 Issue: 3

Cite

APA Luo, T. Y. (2025). The Weather Index Insurance Scheme for Crops: Insights from India. Journal of Agricultural Sciences, 31(3), 590-611. https://doi.org/10.15832/ankutbd.1557827
AMA 1.Luo TY. The Weather Index Insurance Scheme for Crops: Insights from India. J Agr Sci-Tarim Bili. 2025;31(3):590-611. doi:10.15832/ankutbd.1557827
Chicago Luo, Tian Yang. 2025. “The Weather Index Insurance Scheme for Crops: Insights from India”. Journal of Agricultural Sciences 31 (3): 590-611. https://doi.org/10.15832/ankutbd.1557827.
EndNote Luo TY (July 1, 2025) The Weather Index Insurance Scheme for Crops: Insights from India. Journal of Agricultural Sciences 31 3 590–611.
IEEE [1]T. Y. Luo, “The Weather Index Insurance Scheme for Crops: Insights from India”, J Agr Sci-Tarim Bili, vol. 31, no. 3, pp. 590–611, July 2025, doi: 10.15832/ankutbd.1557827.
ISNAD Luo, Tian Yang. “The Weather Index Insurance Scheme for Crops: Insights from India”. Journal of Agricultural Sciences 31/3 (July 1, 2025): 590-611. https://doi.org/10.15832/ankutbd.1557827.
JAMA 1.Luo TY. The Weather Index Insurance Scheme for Crops: Insights from India. J Agr Sci-Tarim Bili. 2025;31:590–611.
MLA Luo, Tian Yang. “The Weather Index Insurance Scheme for Crops: Insights from India”. Journal of Agricultural Sciences, vol. 31, no. 3, July 2025, pp. 590-11, doi:10.15832/ankutbd.1557827.
Vancouver 1.Luo TY. The Weather Index Insurance Scheme for Crops: Insights from India. J Agr Sci-Tarim Bili [Internet]. 2025 July 1;31(3):590-611. Available from: https://izlik.org/JA29YB65WU

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