Turfgrass Weed Science laboratory is a research and extension unit operating within the UF/IFAS Agronomy Department and is a part of Weed Science and Turfgrass Science working groups. Our team strives to improve the strategies for weed management in various turfgrass settings, with the special consideration of current and vital challenges that Florida industry is faced with. The overarching driving force behind our efforts is to provide the industry with reliable knowledge based on thorough and careful research.
The principal subject of our scientific interest is the integration of current and new chemistries along with non-chemical practices into a comprehensive weed management approach. This is to ensure the best possible efficacy, safety, and longevity of weed control measures available to turfgrass managers. Another area of our research is the utility of machine vision (MV) and deep learning (DL) - particularly, the convolutional neural networks (CNN), and/or other artificial intelligence tools to develop successful tools for weed/crop recognition in turfgrass systems, and their application in the field.
Our ultimate objective is to reduce environmental impacts while achieving successful weed control to meet the needs of the industry and our communities.