Building Smart
AI with
Plant Data

The goal of the project was to build a smart AI model to visually detect nutrient content in crops.

We provided a full labelled dataset ready for real-world machine learning used to estimate nutrient levels visually by growing plants under controlled environmental conditions, capturing daily images and pairing them with lab tested nutrient levels.  (e.g. lab-tested potassium levels).