AI + IoT for smallholder mango farmers

A practical, low-power system that gives explainable recommendations for irrigation, fertilizer, and pest management — built to run at the farm edge and work offline.

Mango orchard (Wikimedia Commons)

Three pillars

Irrigation

Edge analytics + rain probability to recommend when and how long to irrigate.

Fertilizer

Simple rules evolving to ML models with local farm data fine-tuning.

Pest

On-device TFLite signals + explainable guidance to reduce risk and costs.

Research context

Conducted as part of a PhD at the Faculty of Business and Law, University of Portsmouth.

Learn more about our academic collaboration →