报告题目：《AI in Industry - the issues and researchable questions》

报告时间：2024年9月13日(星期五)15:00-16:30

报告地点：机械馆J3

报告专家：张勤

报告人简介：

Dr. Qin Zhang is the former Director of the Center for Precision and Automated Agricultural Systems (CPAAS) and a Professor Emeritus of Biological Systems Engineering, Washington State University (WSU); a Member of Washington State Academy of Science (WSAS), a Fellow of iAABE (International Academy of Agricultural and Biological Engineering) and ASABE.  He has received several awards and honors over his career, featured by John Deere Gold Medal in 2017. Dr. Qin Zhang has given 20 keynote speeches and 37 invited talks at international professional conferences, plus numerous invited seminars and guest lectures at 60+ universities Worldwide. He has also been invited to give talks at more than a dozen major agricultural equipment manufacturers in North/South America, Europe, and Asia.  Dr. Qin Zhang is an Honorary Vice President of CIGR (International Commission of Agricultural and Biological Engineering), a Full Member of the Club of Bologna (a World Taskforce on the Strategies for the Development of Agricultural Mechanization).  He was also the Editor-in-Chief, then the Chair Editor for “Computers and Electronics in Agriculture” from 2011 to2023.

报告简介：

Artificial intelligence (AI) is the ability of computer programs to obtain some human-like intelligence, such as perception, learning, and reasoning, from data to support intelligent decision-making, thus it has great potential in industry, including agriculture. Some examples of applying such ability include optimizing resource usage, integrating human intelligence or wisdom in planning and conducting operations. Research papers reporting the development or adoption of AI in agriculture have been exponentially increased over the past a few years, heavily concentrated on computer learning, computer vision, perception, and robotic technologies.  One critical issue associated with this explosion in research paper submission is a dramatic drop in the rate of acceptance, mainly because that many peer reviewers do not treat the simple use of existing algorithms to train a randomly obtained dataset qualifying for decent research unless it aims at removing some obstacles to make such tools practically useful in agriculture.  Based on his experiences on AI related research and on editing field top journal, the speaker will give his opinion on what are the publishable research, and his suggestion on finding suitable researchable issues.