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AI improving farm typologies and customer segmentation

AI improving farm typologies and customer segmentation

  1. Host Institution: ICRISAT | agCelerant-Dakar, Senegal
  2. Supervisors : Pierre C. Sibiry Traore | Steven Ndung’u | Cedric Champenois
  3. Project Description: Inter-farm variability in management is the first determinant of yield variation in African smallholder agriculture, and strongly depends on household socio-economic features. This internship will exploit plot and household level data streamed by the agCelerantTM digital smallholder value chain orchestration platform to develop a workflow that automates the building of farm typologies, contributing to the CASCAID (CCAFS) and HEURISTICS (Habitus) projects.
  4. Expected outcome: Automation of farm type determination improves market segmentation, performance and compliance monitoring in smallholder value chains.

Applications for this internship should be submitted via the online application system, stating clearly the title of the internship.

Deadline for applications: February 28th, 2021 at 11:59 PM Central Africa Time (CAT)

Any inquiries about these internships should be sent to:
aims-ms4cr.internship@nexteinstein.org.