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Transforming Agriculture with Data Science
Client Background
Fyffes, a global fruit producer and distributor, manages extensive pineapple farms across Costa Rica, supplying international markets.
The Challenge
Manual crop sizing and estimation created bottlenecks:
Inaccurate yield forecasts leading to oversupply or shortages.
Labour-intensive field measurements.
Inefficient logistics and packaging planning.
The Tammwe Solution
Tammwe deployed a computer vision and machine learning model to automate pineapple sizing and yield forecasting:
A deep learning model trained on field images achieved 90% accuracy.
Real-time dashboard integrated with logistics systems.
Automated processes reduced reliance on manual labour.
Results & Impact
90% accuracy in crop sizing
33% improvement in yield forecasting accuracy.
Better packaging and logistics planning → reduced waste, improved margins.
Client Testimonial
"Tammwe helped us move from guesswork to science. We now forecast with confidence and plan with precision."
– Operations Director, Fyffes.
Let’s Build the Future Together
Whether you're building your next AI product, scaling engineering capacity, or need fast access to high-performing African tech teams — Tammwe delivers.
