{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/underground-root-tuber-sensing-via-a-wi-fi","title":"Underground Root Tuber Sensing via a Wi-Fi Mesh Network","arxiv_id":null,"date":"2025-05-06","proceeding":"SenSys 2025 5","authors":["Said Elhadi","Tao Wang","Yang Zhao"],"abstract":"We demonstrate a non-invasive Wi-Fi sensing system that uses channel state information (CSI) data and deep neural network (DNN) models to reconstruct the cross-section images of potato tubers underground. \r\nWe design a Wi-Fi mesh network that can leverage both the space and frequency diversities of the wireless network. We apply a multi-branch convolutional neural network (CNN) model to perform data-driven image reconstruction. We have performed extensive experiments to build a Wi-Fi potato sensing dataset, and our demo and experimental evaluations show that the Wi-Fi system outperforms the state-of-the-art root tuber wireless sensing system in terms of image quality and estimation accuracy.","url_abs":"https://dl.acm.org/doi/10.1145/3715014.3724365","url_pdf":"https://dl.acm.org/doi/pdf/10.1145/3715014.3724365","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"underground-root-tuber-sensing-via-a-wi-fi","repo_url":"https://github.com/Data-driven-RTI/undergroud_sensing_wifi_csi","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"}],"methods":[],"datasets_introduced":[{"slug":"tdma-csi-16","name":"TDMA CSI 16","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}