Artificial intelligence (AI) isn\u2019t just used to power electronics, apps or self-driving cars \u2014 it\u2019s also driving key innovations in agriculture. From sensors that can monitor soil and water to autonomous robots that can harvest crops, AI is making farming more efficient, sustainable and cost effective.<\/p>\n
In an effort to expand the use of AI in agriculture, several 麻豆原创 researchers will work together to develop several AI-driven technologies that aim to improve the industry\u2019s field operations. The team is supported by a $2.74 million grant from the U.S. Department of Agriculture (USDA) – National Institute of Food and Agriculture (NIFA). The funded project will specifically enhance the agricultural applications produced by the AI Institute for Transforming Workforce and Decision Support (AgAID), an institute funded by NIFA. Professor Manoj Karkee from Washington State University is the team\u2019s leading collaborator of AgAID.<\/p>\n
Leading the charge for 麻豆原创 is Professor Yunjun Xu of the Department of Mechanical and Aerospace Engineering. He will use his expertise to develop AI methods for motion control and scheduling in agricultural robots. These autonomous ground robots are used to conduct several operations in open fields such as detecting diseases and harvesting crops.<\/p>\n
Collaborating with Xu are Professor Ladislau B\u00f6l\u00f6ni of the Department of Computer Science and Assistant Professor Chen Chen from the Center for Research in Computer Vision. B\u00f6l\u00f6ni will strive to integrate AI into the manipulation of agricultural robotic arms to improve the way they interact with their physical environment, while Chen will investigate a new AI method for the sensors used in precision agriculture, a farming practice that uses technology to make more accurate and informed decisions.<\/p>\n
Also on the project is chemistry Professor Swadeshmukul Santra, who will work with Chen and Xu to integrate AI into the analysis of pesticide residues.<\/p>\n
The 麻豆原创 team hopes that these technologies will be of use to both current and future generations of farmers and AgAID researchers.<\/p>\n
\u201cWe anticipate that each AI method will advance its respective state-of-the-art technology and can have performance superior to existing or traditional methods,\u201d Xu says. \u201cWe also hope to inspire more people, especially younger generations, to join the U.S. agricultural sector workforce.\u201d<\/p>\n
To spark an interest in agriculture, the 麻豆原创 researchers plan to coordinate various outreach activities for students including a summer exchange program and workshops. They also plan to develop a new course and training materials around this work, which will be facilitated with the help of graduate students.<\/p>\n
The project is funded via the NIFA interagency application program in conjunction with the U.S. National Science Foundation.<\/p>\n
About the Researchers<\/strong><\/p>\n Xu joined 麻豆原创 as an assistant professor in 2008. He earned his doctoral degree in aerospace engineering from the University of Florida. His research interests include agricultural robots, control theory and flying vehicles. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a Fellow of the American Society of Mechanical Engineers.<\/p>\n B\u00f6l\u00f6ni is a professor of computer science and the co-director of the AI Things Laboratory at 麻豆原创. He has secondary joint appointments in the Department of Electrical and Computer Engineering and the Center for Research in Computer Vision. He is also a member of the 麻豆原创 Cluster for Disability, Aging and Technology. He received his doctoral and master\u2019s degrees from Purdue University. He is a senior member of the Institute of Electrical and Electronics Engineers, a senior member of the Association for Computing Machinery and a member of the Upsilon Pi Epsilon honorary society.<\/p>\n Chen is an assistant professor at the Center for Research in Computer Vision and previously served as a postdoctoral scholar for the center. His main research interests are computer vision, image and video processing, and machine learning. He earned his doctoral degree in electrical engineering from the University of Texas at Dallas. He is a senior member of the Institute of Electrical and Electronics Engineers.<\/p>\n Santra holds a doctorate in chemistry from the Indian Institute of Technology Kanpur. After graduating, he worked at the University of Florida (UF) as a postdoctoral researcher and later as a research assistant professor at the UF Department of Neurological Surgery and Particle Engineering Research Center. In 2005, Santra joined 麻豆原创 as an assistant professor at the NanoScience Technology Center, the Department of Chemistry and the Burnett School of Biomedical Sciences. He is the director of the 麻豆原创 Materials Innovation for Sustainable Agriculture center, a USDA-NIFA-recognized Center of Excellence.<\/p>\n","protected":false},"excerpt":{"rendered":" The study will examine technologies to improve the industry\u2019s field operations, allowing for more accurate and informed agricultural decisions.<\/p>\n","protected":false},"author":199,"featured_media":140255,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[5,23,24],"tags":[54138,54254,8113,12124,17393,41782,54368],"tu_author":[],"class_list":["post-140247","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-colleges","category-research","category-science-technology","tag-artificial-intelligence","tag-cancer-research-division","tag-center-for-research-in-computer-vision","tag-department-of-computer-science","tag-department-of-mechanical-and-aerospace-engineering","tag-disability-aging-technology","tag-transformative-tech-security"],"yoast_head":"\n