Most Recent Scientific Papers -
Wouterse, Fleur and Getaw, Tadesse and Ly, Racine and Fofama, Ismael and Zongo, Amara, The Macroeconomics of Climate Change Adaptation in Agriculture:Evidence from Kenya and Mali. Available at SSRN: https://ssrn.com/abstract=4486272 or http://dx.doi.org/10.2139/ssrn.4486272
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Ly, R., Dia, K., & Diallo, M. (2021). Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19. In Building Resilient African Food Systems After COVID–19 (2021st ed., pp. 128–154). AKADEMIYA2063 and IFPRI. https://doi.org/10.54067/9781737916413.
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Ly, Racine; Dia, Khadim; and Diallo Mariam. 2021. “Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19.” arXiv:2108.10054 [cs.LG], July 2021. arXiv.org, https://arxiv.org/abs/2108.10054
Ly, Racine. “Machine Learning Challenges and Opportunities in the African Agricultural Sector -- A General Perspective.” ArXiv:2107.05101 [Cs], July 2021. arXiv.org, http://arxiv.org/abs/2107.05101
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Ly, Racine; Traore, Fousseini; and Dia, Khadim. 2021. Forecasting commodity prices using long-short-term memory neural networks. IFPRI Discussion Paper 2000. Washington, DC: International Food Policy Research Institute.
Most Recent Briefs & Scientific Communications -
Ly, R., and K. Dia. 2023. Rwanda Forest Cover Dynamics between 2015 and 2020. CACCI Field Notes, No. 01. Kigali, Rwanda: AKADEMIYA2063. https://doi.org/10.54067/caccifn.01.
Ukraine Crisis
Ly, R., et al. 2023. Predicting Food Crop Production in Times of Crisis: The Case of Wheat in Zambia. AKADEMIYA2063 Ukraine Crisis Brief Series, No. 20. Kigali, Rwanda: AKADEMIYA2063. Link.
COVID-19 Crisis
Racine Ly, Khadim Dia, Mariam Diallo, . 2021. Maize Production Forecasts in Northeast Africa: The case of Uganda, Kenya, and Ethiopia. Covid-19 Bulletin No. 20, April. Kigali. AKADEMIYA2063. Link.
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Racine Ly, Khadim Dia, Mariam Diallo, Babacar Ceesay, and Mohamed Ahid . 2020. 2020 Pearl Millet Production Forecasts for Selected West African Countries: Côte d’Ivoire, Mali, Burkina Faso, Sierra Leone, The Gambia, and Senegal. Covid-19 Bulletin No. 14, December. Kigali. AKADEMIYA2063. Link.
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Racine Ly, Khadim Dia. 2020. Application of Remote Sensing and Machine Learning for Crop Production Forecasting During Crises. Covid-19 Bulletin No. 4, August. Kigali. AKADEMIYA2063. Link.
Media -
Articles
How a Data and AI Revolution is Helping Africa’s Farmers Build Resilience and Productivity Through More Accurate Predictions. Link.
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AI crop predictor aids Africa’s crisis planning. Link.
Podcasts
FARM-D Podcast – Episode 2 : The use of technologies in Agricultural Risk Management. Link.