RapiGrow

RapiGrow project aims to develop machine learning/deep learning models  that can  predict plants growth from images   and  observe  plant  nutrient availability (e.g., phosphorus)  by applying hyperspectral image analysis of plant growth​. This can be used to learn past plant growth trends and forecast future plant growth patterns based on those trends.