Canopy imaging is a noninvasive form of crop monitoring used to measure the growth of plants in horticultural studies. This imaging technique utilizes cameras and image processing to capture the plant canopies and separate them from their background. Most canopy imaging systems use RGB cameras and separate the plants based on green pigments. This technique works well most of the time, but separation of plants becomes difficult for species that have non-green leaves. This work aims to design and develop a canopy imaging device that utilizes chlorophyll fluorescence, light emitted by plant chlorophyll as a response to receiving light energy. Chlorophyll fluorescence is easy to image and occurs so long as plants contain chlorophyll, independent of coloration. In order to develop a device that improves upon current technologies, emphasis was placed on adding useful features to it, including on-device image processing and pipeline automation, while reducing total cost.