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AgriFuture: A New Theory of Change Approach to Building Climate-Resilient Agriculture

  • Hajar MousannifEmail author
  • Jihad Zahir
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 911)

Abstract

Agriculture in Morocco, like in many developing countries, remains very sensitive to climatic fluctuations, with drought occurring recurrently; creating volatility in agricultural production and impacting negatively the lives of farmers. How to quantify the impact of climate change on the quality of life of farmers? How can climate-resilience be strengthened and livelihoods of farmers enhanced? How to make the adoption of improved agricultural technologies and practices by farmers sustainable? This paper aims at answering all those questions by presenting a new Theory of Change approach targeting the construction of comprehensive and large-scale datasets which integrate data from a wide range of stakeholders. Advanced data analytics will be applied on those data to provide a thorough understanding of the interrelated climatic, environmental, social, cultural, economic, institutional and political factors that aggravate differentiated climate change impacts. This will allow discovering hidden patterns in the data, making decisions and establishing recommendation systems guiding stakeholders’ choices in terms of policies, irrigation decisions, types of crops to plant, and actions to take to enhance crop yield production, in order to make the most vulnerable communities more resilient to climate change.

Keywords

Agriculture Theory of Change Big Data Analytics Machine learning Climate change 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.LISI LaboratoryCadi Ayyad UniversityMarrakeshMorocco

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