BASE Lab at SIU Carbondale Advances AI for Agricultural Applications
The BASE Lab at Southern Illinois University (SIU) Carbondale is actively engaged in research focused on applying artificial intelligence (AI) to agricultural challenges. Their work includes precision livestock management, crop health monitoring, and yield prediction, aiming to improve efficiency and sustainability in agriculture. The lab's broader research encompasses computer vision, deep learning, and federated learning. Recent achievements include the acceptance of three papers at WACV 2027 workshops, covering topics such as weapon segmentation on CCTV, efficient neural networks, and stable scores in vision for neuro workshops. Additionally, a review paper on language-guided chest radiograph segmentation was published in the Journal of Imaging. The BASE Lab has also been featured on WSIL 3 Heartland News for its AI research supporting a deer density study with the Illinois Department of Natural Resources, where a PhD candidate is developing AI software to detect and count deer in thermal footage.
