Yiting Chen, Yan Sum Yip, Hieu T. Tran, Soomin Shin, Woo Soo Kim
{"title":"Artificial Intelligence-Driven Robotic Sensing System for Noninvasive Crop Health Monitoring and Autonomous Irrigation Management","authors":"Yiting Chen, Yan Sum Yip, Hieu T. Tran, Soomin Shin, Woo Soo Kim","doi":"10.1002/aisy.70071","DOIUrl":null,"url":null,"abstract":"<p><b>Artificial Intelligence-Driven Robotic Sensing System</b></p><p>Woo Soo Kim’s research team at Simon Fraser University has developed an AI-powered, non-invasive sensing robot that directly monitors plant health and water needs from plant leaves using electrical signals from 3D-printed plant sensors. This innovative technology optimizes resource use, enhances crop yields, and advances sustainable indoor farming, paving the way for smart, resource-efficient agriculture globally. More details can be found in article number 2500198.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 7","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.70071","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/aisy.70071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence-Driven Robotic Sensing System
Woo Soo Kim’s research team at Simon Fraser University has developed an AI-powered, non-invasive sensing robot that directly monitors plant health and water needs from plant leaves using electrical signals from 3D-printed plant sensors. This innovative technology optimizes resource use, enhances crop yields, and advances sustainable indoor farming, paving the way for smart, resource-efficient agriculture globally. More details can be found in article number 2500198.
西蒙弗雷泽大学(Simon Fraser University)的woo Soo Kim研究团队开发了一种人工智能驱动的非侵入式传感机器人,该机器人利用3d打印植物传感器发出的电信号,直接监测植物的健康状况和植物叶片对水的需求。这项创新技术优化了资源利用,提高了作物产量,推进了可持续室内农业,为全球智能、资源节约型农业铺平了道路。详情见第2500198号商品。