Corn is a key crop used for food, feed, and fuel and an important source of calories, proteins, and vitamins for humans and animals. Several studies have reported that pigmented corn contains higher content of antioxidants, carotenoids, and phenolic compounds that have potential health benefits. In corn kernels, phenolic acids can be found in free/bound and soluble/insoluble forms. The most abundant phenolic acids in corn are trans-ferulic and p-coumaric acids, both present in soluble form and bound to cell wall components. The goals of this research are to: 1) identify and quantify phenolic acids in a unique collection that includes 100 accessions of inbred and landrace/heirloom corn, and 2) characterize their kernel phenotype using high throughput phenotyping approaches to link the resulting digital readouts to the content of phenols and other metabolites of interest. Phenolic acids were extracted using an improved microscale method that was previously described and were quantified using an HPLC equipped with a PDA detector. The content of trans-ferulic and p-coumaric acids varied between 200 and 900 µg/g DW and 40 and 250 µg/g DW in the collection, respectively. Images of 100 kernels per accession were acquired with visible (RGB), near infrared (NIR) and fluorescence (FLUO) sensors of a phenomics platform and uploaded to CyVerse for analysis using Phytomorph. With this image analysis approach, we are able to extract geometrical parameters (such as kernel area, perimeter, width, length) and color hues, which increase our ability to evaluate kernel yield traits and correlate these data with the phytochemical traits.