Livestock at the 2020 Big Data in Agriculture Virtual Convention

Date
Author
Vanessa Meadu
Contributors

Watch two sessions from the Livestock Data for Decisions (LD4D) community

by Vanessa Meadu

How can the livestock community deploy data-driven innovations build a more sustainable, resilient and equitable sector? The livestock sector is experiencing major disruptions due to the current pandemic, especially in Low and Middle-Income Countries. But it’s also opened new opportunities to rebuild more equitably and sustainably, especially using digitalised services. Members of the Livestock Data for Decisions (LD4D) Community are stepping up to these challenges, using novel approaches to measure COVID-19 impacts on the sector, and deploying data-driven interventions to help the sector rebuild better. We explored these innovations at the recent Big Data in Agriculture Virtual Convention.

Watch the session recordings

Session 1 Data-driven innovations for food and nutrition security and animal health and animal welfare in the livestock sector

Speakers

  • Measuring the effects of COVID-19 on food security and nutrition in Northern Kenya: insights and challenges - Esther Omosa (ILRI)
  • MoooFarm: How Covid-19 helped normalise use of mobile advisory services to smallholder dairy farmers in India, and generate new insights using big data analytics - Aashna Singh (MoooFarm)
  • How is Africa’s first cloud-based, animal health product distribution company supporting farmers in underserved communities? – Peter Awin (CowTribe) 
  • Moderator: Michael Victor (ILRI)

Session 2 Data-driven innovations for climate and resource use and livelihoods and economic growth in the livestock sector

Speakers

  • Pulse survey on Animal Source Foods (ASF) market disruptions – Mark Mitchell, Land O’Lakes Venture37
  • Sigsahel Pastoral Monitoring system to measure economic impacts of COVID-19 – Leila Nomao (Réseau Billital Maroobé) and Cedric Bernard (Action Contre La Faim) 
  • Measuring environmental impact of COVID-19 in the livestock sector in Northern Kenya using crowd-sourced and panel data – Michael W. Graham (ILRI) 
  • Moderator: Vanessa Meadu (SEBI)
     


Vanessa Meadu is Communications and Knowledge Exchange Specialist with Supporting Evidence Based Interventions (SEBI), which convenes the Livestock Data for Decisions (LD4D) community of practice. LD4D is the Livestock Data community of the CGIAR Big Data in Agriculture Platform.

Header photo: A farmer in Laos tends to her cattle. Data-driven approaches are helping the livestock sector build back more sustainably. Credit: S. Mann (ILRI) (source)

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