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      James Thesken

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Counting Coffee Cherries with Deep Learning

20 Jul 2018

Reading time ~1 minute

This was a project that I’ve been considerably interested in since I worked at Kauai Coffee during summer 2017. The problem seemed alluring; in the sense that (1) no one has quite approached the problem using machine learning and (2) this is a tangible problem that a large business has + one that *I could solve. Damn that sounds pretty opportunistic! :)

The Problem:

Timing the harvest season for a large coffee orchard is a difficult and specialized task. Without decades of experience, it would be costly to train anyone to oversea/replicate this.

The Proposed Solution:

Train a supervised machine learning model to identify coffee cherries in a given image + determine its stage of ripeness.

Read More!

Check out my blog post featured on Towards Data Science!

Coffee detection and artistic visualization.


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