Digital smallholder soil mapping using EO and machine learning

Digital smallholder soil mapping using EO and machine learning

1. Host Institution:
   ICRISAT | agCelerant-Mali, Bamako, Mali
   
2. Supervisors : 
   Steven Ndung’u | Pierre C. Sibiry Traore | Andree M. Nenkam
   
3. Project Description:
   With Sentinel-2, Earth Observation (EO) crossed a critical threshold for crop conditions monitoring in smallholder fields. Exploiting ground-based observations of agronomic management streamed by the agCelerant digital smallholder value chain orchestration platform, this internship will assess Sentinel-2’s potential for inferring soil properties from measured crop response, and for operational soil mapping from farm to district scales.

4. Expected outcome:
Soil properties are appraised more economically from farm to district scales to improve technology targeting and intensification in smallholder agriculture.

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.