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Mapping the climate and agronomic digital advisory services landscape in West and Central Africa: A step towards making food systems productive and climate resilient

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scale successful innovations while addressing gaps in access and affordability. In rural areas, where these prerequisites are often lacking, the scalability and sustainability of digital advisory platforms remain constrained. Addressing these foundational issues is essential for service equity and long-term adoption. Finally, improved data governance, including harmonization and privacy safeguards, are critical for maximizing the value of digital platforms. Addressing these systemic constraints will determine whether digital agriculture evolves into a tool for inclusive climate adaptation or exacerbates existing inequalities. Furthermore, national policy frameworks play a vital role in shaping the digital agriculture landscape. Countries such as Rwanda and Nigeria have implemented progressive policies, including the National Agricultural Technology and Innovation Policy (2022) and Digital Agriculture Strategies, which aim to promote youth engagement, simplify enterprise operations, and improve access to land, credit, and training [48]. These measures have facilitated greater participation among younger, technologically up-to-date farmers—an important demographic for the uptake of digital tools [49,50]. Nonetheless, significant gaps remain in data governance. While open data (e.g., crop, weather, and market data) is key to innovation, limited cross-organizational collaboration and inconsistent regulatory frameworks restrict access—particu- larly for private sector actors and emerging agri-tech start-ups. Issues of data privacy, ownership, and cybersecurity also

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persist. Although countries like Ghana, Nigeria, and Rwanda have initiated legislative responses, others—such as Burundi and Ivory coast—lack adequate policies for agricultural data governance. The absence of harmonized and interoperable systems further constrains the scalability and integration of digital services. 4.4. Limitations and future research While this review mapped a diverse range of existing digital solutions, the analysis is limited by data availability, partic- ularly for Burundi, Ivory Coast, and the DRC. Furthermore, the study primarily examined farmer adoption, leaving gaps in understanding how service providers and policymakers utilize these tools. Future research should focus on assessing the effectiveness of DAGs in improving agricultural productivity under climate stress, with attention to gender and equity outcomes, considering the size of country. Longitudinal studies would also help to evaluate whether current innovations deliver sustained resilience over time. In summary, these findings indicate that while digital agriculture is rapidly expanding, its potential to build climate resil- ience is constrained by deep structural and institutional barriers. Closing these gaps will require coordinated investments in infrastructure, digital literacy, and inclusive policy frameworks, alongside efforts to harmonize data and strengthen governance. Moreover, ensuring that digital solutions are accessible to marginalized groups, particularly women and rural

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PLOS One | https://doi.org/10.1371/journal.pone.0338010 December 3, 2025 17 / 20 smallholders, will be critical for achieving equitable adaptation outcomes. Without such measures, DAGs risk reinforcing existing inequalities rather than serving as tools for resilience and transformation. 5. Conclusion This study demonstrates that digital agricultural solutions (DAGs) hold significant potential to strengthen climate resilience and agricultural productivity in West and Central Africa, particularly through mobile-based advisories, climate-smart agriculture practices, and bundled service models that integrate market, financial, and climate services. These tools can reduce smallholder exposure to climate risks by improving access to timely information, resources, and decision support. However, major barriers—including poor infrastructure, high connectivity costs, low digital literacy, and gender disparities—continue to constrain equitable adoption. The predominance of private-sector initiatives has fueled rapid innovation but raises concerns about inclusivity and long-term sustainability without stronger public sector involvement and supportive policy frameworks. Unlocking the full potential of digital agriculture will require targeted investment in rural infrastructure, inclusive training, and gender-responsive approaches, alongside improved public– private collaboration and harmonized data systems. Future research should move beyond mapping existing tools to

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rigorously assess their long-term impacts on productivity, equity, and resilience, with particular attention to gender and youth inclusion. Integrating DAGs into broader adaptation strategies that connect technology, institutional capacity, and inclusive policies will be essential to ensuring they contribute to sustainable and equitable food systems under a changing climate. This synthesis paper also highlights the diverse needs and challenges faced by the key user groups of DAGs, and proposes a Human-Centered Design (HCD) approach as a potential solution to improve adoption and impact of these services. Supporting information S1 Fig. Country-wise distribution of existing digital agricultural services in six countries of WCA. (PNG) S2 Fig. Country-wise distribution of innovations providing agronomic services in six countries of WCA. (TIF) S3 Fig. Country-wise distribution of innovations providing digital climate solutions in six countries of WCA. (TIF) S4 Fig. Country-wise distribution of innovations providing market information in the six countries of WCA. (TIF) S5 Fig. Country-wise distribution of innovations providing finance in the six countries of WCA. (TIF) S6 Fig. Country-wise distribution of innovations identified as agricultural service provider in the six countries of WCA. (TIF) S7 Fig. Country-wise distribution of innovations providing crop insurance to different risks in the six countries of WCA. (TIF) S8 Fig. Existing users of digital agricultural solutions in various value chains. (TIF)

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PLOS One | https://doi.org/10.1371/journal.pone.0338010 December 3, 2025 18 / 20 Acknowledgments This work was implemented as part of the CGIAR Regional Integrated Initiative “Transforming Agrifood Systems in West and Central Africa (TAFS-WCA)”. Part of this paper has been published as a synthesis report on CGSpace: Mapping climate and agronomic digital advisory services landscape in West and Central Africa (WCA) | Alliance Bioversity Inter- national – CIAT. The authors also thank Glenn Hyman and Olga Spellman (Alliance of Bioversity International and CIAT Science Writing Service) for copy editing and technical review of this manuscript. Author contributions Conceptualization: Manjari Singh, Mathieu Ouedraogo, Daniel Jimenez, Desire Kagabo, Julian Ramirez, Peter Laderach. Data curation: Manjari Singh, Daniel Jimenez, Tiffany Talsma, Adama Ouedraogo. Formal analysis: Manjari Singh, Tiffany Talsma. Funding acquisition: Mathieu Ouedraogo, Julian Ramirez, Peter Laderach. Investigation: Adama Ouedraogo. Methodology: Mathieu Ouedraogo, Daniel Jimenez, Tiffany Talsma, Desire Kagabo, Julian Ramirez, Peter Laderach. Project administration: Mathieu Ouedraogo. Resources: Tiffany Talsma, Adama Ouedraogo. Supervision: Mathieu Ouedraogo, Desire Kagabo, Julian Ramirez, Peter Laderach. Visualization: Manjari Singh. Writing – original draft: Manjari Singh. Writing – review & editing: Manjari Singh, Mathieu Ouedraogo, Daniel Jimenez, Tiffany Talsma. References

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1. Kropff W, Jiménez D, Molero A, Smith G, Mehrabi Z, Megan M, et al. CGIAR’s igi in digital extension services. 2021. https://hdl.handle. net/10568/114842 2. Nyasimi M, Radeny MA, Hansen J. Review of climate service needs and opportunities in Rwanda. 2016. 3. Nel J, Msengezi C, Lokers RM, Ayala LM, Addison CM, Janssen SJ. Policy Discussion Document: Towards Open Data for Agricultural Transforma- tion in Ghana. Ministry of Food and Agriculture. https://doi.org/10.3/JQUERY-UI.JS 4. Downie R. Growing the Agriculture Sector in Nigeria. 2017. 5. IFDC. FeSeRWAM, a new digital for agriculture (D4AG) tool launched – IFDC. https://www.ifdc.org. 2020. 6. Corps AM. Digital climate advisory services (DCAS) in sub-Saharan Africa. 2021. https://knowledge4policy.ec.europa.eu/publication/ digital-climate-advisory-services-dcas-sub-saharan-africa_en 7. Ogwu MC, Izah SC. Smart technologies for tropical disease prevention and control. Technological innovations for managing tropical diseases. Cham: Springer Nature Switzerland. 2025:213–35. 8. Statista. African countries with the largest population as of 2024. https://www.statista.com. 2024. 9. World Bank. Climate Risk Country Profile: Congo, Democratic Republic. 2021. 10. ITA. Democratic Republic of the Congo – Agriculture. 2022. 11. Global Hunger Index (GHI). Global Hunger Index (GHI) – peer-reviewed annual publication designed to comprehensively measure and track hun- ger at the global, regional, and country levels. 2023. 12. World Bank. Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/. 2024.

Trang 18 · Đoạn 47Vị trí nguồn

13. Nahayo L, Nsengiyumva JB, Mupenzi C, Mindje R, Nyesheja EM. Climate Change Vulnerability in Rwanda, East Africa. International Journal of Geography and Geology. 2019;8(1):1–9. https://doi.org/10.18488/journal.10.2019.81.1.9 14. University of Notre Dame. Rank countries by ND-GAIN index, vulnerability, and readiness to climate change. Notre Dame Global Adaptation Initia- tive. 2023. https://gain.nd.edu/our-work/country-index/

Trang 19 · Đoạn 48Vị trí nguồn

PLOS One | https://doi.org/10.1371/journal.pone.0338010 December 3, 2025 19 / 20 15. Noah OA, Abidoye AG. Effective agricultural extension service: a strategy for improving food production in Nigeria. Entrepreneurial Journal of Man- agement Sciences. 2019;6(1):13–26. 16. Neza BN, Higiro J, Mwangi LW, Ochatum N. Institutionalizing farmer field schools: Twigire Muhinzi National Extension System in Rwanda. Food & Agriculture Org. 2021. 17. Loukos P, Javed A. Opportunities in agricultural value chain digitization Learnings from Ghana. www.gsma.com/. 2018. 18. Ayisi Nyarko D, Kozári J. Information and communication technologies (ICTs) usage among agricultural extension officers and its impact on exten- sion delivery in Ghana. Journal of the Saudi Society of Agricultural Sciences. 2021;20(3):164–72. https://doi.org/10.1016/j.jssas.2021.01.002 19. Terefe B, Oppong-Mensah B, Siemah P, Kpodoviah L, Addy P, Davis T. Gender and Rural Advisory Services Assessment in Ghana. In CABI. 2022. https://www.cabi.org/cabi-publications/gender-and-rural-advisory-services-assessment-in-ghana/ 20. Priebe J. Data-driven advisory services for climate-smart smallholder agriculture. www.gsma.com. 2022. 21. Naswem AA, Ejembi SA. Reviving agricultural extension for effective transition from subsistence to commercial agriculture in Nigeria. Journal of Rural Social Sciences. 2017;32(1):2. 22. Awolala DO, Mutemi J, Adefisan E, Antwi-Agyei P, Taylor A. Profiling user needs for weather and climate information in fostering drought risk pre-

Trang 19 · Đoạn 49Vị trí nguồn

paredness in Central-Southern Nigeria. Frontiers in Climate. 2022;4:787605. 23. Oyinbo O, Chamberlin J, Maertens M. Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria. J Agric Econ. 2020;71(3):798–815. https://doi.org/10.1111/1477-9552.12371 PMID: 32999506 24. Lozanova Y, Maddens S, Sundberg N, Prado-Wagener C. Global ICT Regulatory Outlook 2020 – Pointing the way forward to collaborative regula- tion. 2022. https://itu.int/dms_pub/itu-d/opb/pref/D-PREF-BB.REG_OUT01-2020-PDF-E.pdf 25. Pauw K. A review of Ghana’s planting for food and jobs program: implementation, impacts, benefits, and costs. Food Sec. 2022;14(5):1321–35. https://doi.org/10.1007/s12571-022-01287-8 26. Status of digital agriculture in 47 sub-Saharan African countries. FAO; ITU. 2022. https://doi.org/10.4060/cb7943en 27. Center For International Earth Science Information Network-CIESIN-Columbia University. SDG Indicator 7.1.1: Access to Electricity, 2023 Release (Version 2023.00) Data set. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). 2023. https://doi.org/10.7927/ GXNR-SX57 28. ITU. Data and analytics: taking the pulse of the information society. International Telecommunication Union. 2021. https://www.itu.int/itu-d/sites/ statistics/ 29. Steinke J, Ortiz Crespo B, Bunn C, Van Etten J, Jimenez D, Le TT. Error 404, farmer not found: Why agricultural information services must con- sider how smallholders use their phones. Montpellier (France): CGIAR Initiative on Digital Innovation.

Trang 19 · Đoạn 50Vị trí nguồn

30. Loukou AF. La diffusion de l’Internet en Côte d’Ivoire. Obstacles et implications. Netcom Réseaux, communication et territoires. 2012;26(3/4):307–28. 31. World Economic Forum. Global Gender Gap Report 2022. 2022. https://www.weforum.org/reports/global-gender-gap-report-2022 32. ILO. ILOSTAT. 2021. 33. Abdulai A-R, KC KB, Fraser E. What factors influence the likelihood of rural farmer participation in digital agricultural services? experience from smallholder digitalization in Northern Ghana. Outlook Agric. 2022;52(1):57–66. https://doi.org/10.1177/00307270221144641 34. Jost C, Kyazze F, Naab J, Neelormi S, Kinyangi J, Zougmore R, et al. Understanding gender dimensions of agriculture and climate change in smallholder farming communities. Climate and Development. 2015;8(2):133–44. https://doi.org/10.1080/17565529.2015.1050978 35. Coulibaly JY, Birachi EA, Kagabo DM, Mutua MM, Hansen J. Climate services for agriculture in Rwanda: What farmers know about climate infor- mation services in Rwanda. 36. Partey ST, Dakorah AD, Zougmoré RB, Ouédraogo M, Nyasimi M, Nikoi GK, et al. Gender and climate risk management: evidence of climate infor- mation use in Ghana. Climatic Change. 2018;158(1):61–75. https://doi.org/10.1007/s10584-018-2239-6 37. Singh KK, Baxla AK, Singh P, Singh PK. Weather Based Information on Risk Management in Agriculture. Climate Change and Agriculture in India: Impact and Adaptation. Springer International Publishing. 2018:207–16. https://doi.org/10.1007/978-3-319-90086-5_16

Trang 19 · Đoạn 51Vị trí nguồn

38. Dheebakaran Ga, Panneerselvam S, Geethalakshmi V, Kokilavani S. Weather Based Automated Agro Advisories: An Option to Improve Sustain- ability in Farming Under Climate and Weather Vagaries. Global Climate Change and Environmental Policy. Springer Singapore. 2019: 329–49. https://doi.org/10.1007/978-981-13-9570-3_11 39. Dissanayeke UI, Rienzie KDRC, Kuruppuarachchi KANL, Gunaratne LHP, Premalal KHMS, Wickramasinghe WMADB, et al. An Agro-Met Advisory System to Reduce the Climate Change Risks and Enhance Disaster Risk Resilience of Farmers in Dry and Intermediate Zones of Sri Lanka. Multi-Hazard Early Warning and Disaster Risks. Springer International Publishing. 2021:561–72. https://doi.org/10.1007/978-3-030-73003-1_38 40. Surminski S, Barnes J, Vincent K. Can insurance catalyse government planning on climate? Emergent evidence from Sub-Saharan Africa. World Development. 2022;153:105830. https://doi.org/10.1016/j.worlddev.2022.105830 41. Williams TO, Kinyangi J, Nyasimi M, Amwata DA, Speranza CI, Rosenstock T. Climate smart agriculture in the African context. https://www.afdb. org/fileadmin/uploads/afdb/Documents/Events/DakAgri2015/Climate_Smart_Agriculture_in_the_African_Context.pdf 42. Guide on digital agricultural extension and advisory services. FAO. 2023. https://doi.org/10.4060/cc4022en

Trang 20 · Đoạn 52Vị trí nguồn

PLOS One | https://doi.org/10.1371/journal.pone.0338010 December 3, 2025 20 / 20 43. Monerie P-A, Pohl B, Gaetani M. The fast response of Sahel precipitation to climate change allows effective mitigation action. npj Clim Atmos Sci. 2021;4(1). https://doi.org/10.1038/s41612-021-00179-6 44. Ofosu-Ampong K, Abera W, Mesfin T, Abate T. Digital agro-advisory tools in the global south: a behavioural analysis of impacts, and future direc- tions. Discov Agric. 2025;3(1). https://doi.org/10.1007/s44279-025-00190-y 45. Kansiime MK, Mugambi I, Rware H, Alokit C, Aliamo C, Zhang F. Challenges and capacity gaps in smallholder access to digital extension and advisory services in Kenya and Uganda. 46. Kagabo DM, Byandaga L, Gatsinzi P, Mvuyibwami P, Munyangeri YU, Ntwari N, et al. Scaling climate information services and climate smart agri- culture through bundled business models. Climate Services. 2025;37:100526. https://doi.org/10.1016/j.cliser.2024.100526 47. Ouedraogo A, Egyir IS, Ouedraogo M, Jatoe JBD. Farmers’ Demand for Climate Information Services: A Systematic Review. Sustainability. 2022;14(15):9025. https://doi.org/10.3390/su14159025 48. Clarkson G, Dorward P, Kagabo D, Nsengiyumva G. Climate Services for Agriculture in Rwanda: Initial findings from PICSA monitoring and evalua- tion. ReliefWeb. 2017. https://reliefweb.int/report/rwanda/climate-services-agriculture-rwanda-initial-findings-picsa-monitoring-and-evaluation 49. Akudugu MA, Nkegbe PK, Wongnaa CA, Millar KK. Technology adoption behaviors of farmers during crises: What are the key factors to consider?.

Trang 20 · Đoạn 53Vị trí nguồn

Journal of Agriculture and Food Research. 2023;14:100694. https://doi.org/10.1016/j.jafr.2023.100694 50. Smidt HJ, Jokonya O. Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa. Infor- mation Technology for Development. 2021;28(3):558–84. https://doi.org/10.1080/02681102.2021.1975256