Agricultural Research · Analysis
Satellite Yield Prediction for Smallholder Fields
Sub-hectare fields are invisible to conventional yield forecasting, blocking credit and insurance access for smallholders.
Principal investigator: Naledi Sithole
Programme
40+
Active programmes across clinical, agri and environmental science
60+
Partner institutions, hospitals and grower networks
180
Peer-reviewed publications and field reports to date
Objectives
- Fuse 3 m satellite imagery with drone ground truth
- Predict yield within 12% error at field scale
- Integrate with credit scoring partners
Methodology
- 1Time-series index extraction
- 2Gradient-boosted yield models
- 3Field harvest validation across 2,400 plots
Partners
- Agri-finance consortium
- Space agency data programme
Publications
Connected
Laboratories and services behind this study
Research lifecycle
From a question worth asking to a result people can use
01
Scoping
Define the decision, the endpoint and the population or field site with our partners.
02
Protocol & ethics
Pre-registered protocol, ethics or biosafety approval and consent frameworks.
03
Execution
Accredited laboratory and field workflows with monitored data capture.
04
Translation
Peer-reviewed publication, regulatory dossiers and hand-off to service teams.
Partner with us
Collaborate on Satellite Yield Prediction for Smallholder Fields
Bring us a study, a sample set or a field problem. We scope feasibility, ethics and timelines within one working week.
Publications & data access
Request pre-prints, anonymised datasets or replication protocols from any completed programme.