2026年10月16日，2026年数字化技术与智慧农牧业国际学术会议（DTIAA 2026）在线上平台（Zoom）圆满落幕。在全球农业数字化转型与"双碳"战略背景下，来自西昌学院、西南大学、成都信息工程大学等高校和科研院所的专家学者齐聚云端，围绕数字化技术与智慧农牧业的深度融合与产业升级展开深入交流。

The 2026 International Conference on Digital Technology and Intelligent Agriculture and Animal Husbandry (DTIAA 2026) was successfully concluded online via Zoom on October 16, 2026. Against the backdrop of global agricultural digital transformation and the "dual‑carbon" strategy, experts and scholars from universities and research institutions including Xichang University, Southwest University, and Chengdu University of Information Technology gathered in the cloud to engage in in‑depth exchanges on the deep integration and industrial upgrading of digital technology with intelligent agriculture and animal husbandry.

本次会议由西昌学院主办，西南大学、成都信息工程大学提供支持。会议聚焦人工智能、遥感感知、大数据分析等前沿技术在农牧业生产、畜禽养殖中的创新应用，旨在为全球农牧业领域学者与从业者搭建跨域交流与合作的专业平台。

The conference was hosted by Xichang University and supported by Southwest University and Chengdu University of Information Technology. Focusing on innovative applications of frontier technologies such as artificial intelligence, remote‑sensing perception, and big‑data analytics in agricultural production and livestock farming, it aimed to build a professional platform for cross‑domain exchange and collaboration among scholars and practitioners in the global agriculture and animal husbandry community.

10月16日，会议在 Zoom 线上平台正式开幕。开幕式由大会组委会主持，主持人代表组委会向与会专家学者表示热烈欢迎，并介绍了会议的举办宗旨与核心议题。致辞指出，数字化、智能化转型已成为农牧业高质量发展的重要方向，人工智能、遥感感知、大数据分析等技术与农业生产的深度融合，正为产业提质增效、破解传统生产痛点提供全新方案。会议由西昌学院主办，西南大学、成都信息工程大学提供支持，组委会对此致以衷心感谢。

On October 16, the conference officially opened on the Zoom online platform. The opening ceremony was presided over by the Organizing Committee, whose host extended a warm welcome to all participating experts and scholars and introduced the conference's purpose and core themes. The address noted that digital and intelligent transformation has become a crucial direction for the high‑quality development of agriculture and animal husbandry, and that the deep integration of technologies such as AI, remote‑sensing perception, and big‑data analytics with agricultural production is providing novel solutions to enhance efficiency and address traditional production challenges. The conference is hosted by Xichang University and supported by Southwest University and Chengdu University of Information Technology, to whom the committee expressed sincere gratitude.

大会进入主旨报告环节，邀请到三位特邀主讲嘉宾依次作专题报告，每场报告后均设有问答交流环节，现场学术氛围热烈。

The conference moved into the keynote session, where three invited keynote speakers delivered their presentations in turn, each followed by a Q&A session that sparked lively academic discussion.

第一位主旨报告嘉宾：黄增文 副教授（西昌学院）        First Keynote Speaker: Assoc. Prof. Zengwen Huang (Xichang University) 黄增文，西昌学院动物科学学院副院长，博士，博士后，副教授，硕士生导师。其研究方向为畜禽种质创新与智慧养殖。发表学术论文100余篇，其中以第一作者身份发表SCI论文8篇，刊载于《Critical Reviews in Food Science and Nutrition》《Poultry Science》《International Journal of Biological Macromolecules》《PeerJ》等国际知名期刊；以第一发明人身份获授权专利3项，出版专著《肉羊养殖及常见疾病控制》。兼任《中国畜禽种业》杂志编委，担任中国畜牧兽医学会动物微生态学分会理事、智慧牧业发展校企联盟理事，主持省部级科研项目20余项。 Assoc. Prof. Zengwen Huang is Deputy Dean of the College of Animal Science at Xichang University, holding a Ph.D. and postdoctoral training, and serving as a master's supervisor. His research focuses on livestock germplasm innovation and intelligent farming. He has published over 100 academic papers, including 8 first‑author SCI papers in renowned journals such asCritical Reviews in Food Science and Nutrition,Poultry Science, andPeerJ; authored 3 authorized invention patents; and published the monographSheep Farming and Common Disease Control. He serves on the editorial board ofChina Livestock and Poultry Breeding and as a council member of several industry societies, having led more than 20 provincial/ministerial research projects. 报告题目 / TOPIC        人工智能在畜禽养殖中的应用与发展        Application and Development of Artificial Intelligence in Livestock and Poultry Farming

第二位主旨报告嘉宾：李朝荣 教授（宜宾学院）        Second Keynote Speaker: Prof. Zhaorong Li (Yibin University) 李朝荣，宜宾学院三级教授、硕士生导师，四川省学术和技术带头人后备人选、宜宾学院学术与技术带头人。2013年获电子科技大学计算机学院博士学位，电子科技大学教育部神经系统重点实验室博士后。主要研究方向为人工智能、机器视觉，涵盖AI气象遥感、医学影像检测、信息与AI安全。主持省部级及以上课题10余项，发表学术论文80余篇（其中SCI一区TOP期刊论文15篇），授权发明专利10项、软件著作权30余项，获四川省科技进步三等奖、重庆市自然科学奖二等奖等多项科研奖励，拥有海外访学与对外科研合作经历。IEEE会员，四川省人工智能学会理事。 Prof. Zhaorong Li is a Level‑3 Professor and master's supervisor at Yibin University, a reserve candidate for Sichuan Provincial Academic and Technical Leader and an Academic and Technical Leader of Yibin University. He received his Ph.D. from the School of Computer Science, UESTC (2013) and conducted postdoctoral research at its Key Laboratory of Neuroinformation (MOE). His research spans artificial intelligence and machine vision, including AI meteorological remote sensing, medical image detection, and information & AI security. He has led over 10 provincial/ministerial projects, published 80+ papers (15 in SCI Q1 TOP journals), and holds 10 invention patents and 30+ software copyrights, winning the Sichuan Science & Technology Progress Third Prize and the Chongqing Natural Science Second Prize. He is an IEEE member and a council member of the Sichuan Artificial Intelligence Society. 报告题目 / TOPIC        面向山地复杂场景的 AI 气象感知与智慧农业协同关键技术研究        Research on Key Technologies of AI Meteorological Perception and Smart Agriculture for Complex Mountain Scenarios

第三位主旨报告嘉宾：唐源 副教授（成都理工大学）        Third Keynote Speaker: Assoc. Prof. Yuan Tang (Chengdu University of Technology) 唐源，成都理工大学计算机与网络安全学院副教授，四川省工业互联网智能监测与应用工程技术研究中心制造智能监测技术研发部主任。2012年获电子科技大学计算机应用技术工学博士，2008-2010年于美国西北大学计算机科学系联合培养，2014年电子科技大学大数据研究中心博士后。主要从事人工智能、大数据应用等领域的研究与软件开发工作，发表科研与教改论文20余篇，申请与授权发明专利5项，主持四川省科技厅重点项目、教育部产学合作协同育人项目、四川省教育厅项目、成都市技术创新研发项目等多项课题。 Assoc. Prof. Yuan Tang is from the School of Computer and Cyber Security at Chengdu University of Technology and serves as Director of the Manufacturing Intelligent Monitoring R&D Division at the Sichuan Provincial Engineering Technology Research Center for Industrial Internet Intelligent Monitoring and Application. He earned his Ph.D. in Computer Application Technology from UESTC (2012), was a joint Ph.D. trainee at Northwestern University (USA, 2008‑2010), and completed postdoctoral research at the UESTC Big Data Research Center (2014). Focusing on AI and big‑data applications, he has published 20+ research and teaching papers, been granted 5 invention patents, and led multiple projects including a key Sichuan provincial science‑and‑technology project and a Ministry of Education industry‑education cooperation project. 报告题目 / TOPIC        蔬菜病虫害检测方法研究        Research on Detection Methods of Vegetable Diseases

三位主旨报告内容翔实、观点前沿，从畜禽智慧养殖、山地气象感知到蔬菜病害识别，全方位展现了数字化技术赋能农牧业的多元路径与最新进展，引发了线上与会者的热烈讨论与深入交流。

Rich in content and cutting‑edge in perspective, the three keynote speeches—spanning intelligent livestock farming, mountain meteorological perception, and vegetable disease detection—comprehensively demonstrated the diverse pathways and latest progress of digital technology empowering agriculture and animal husbandry, sparking enthusiastic discussion among online participants.

随着最后一位主旨报告的结束，大会全部预定议程顺利完成。会议共同聆听了三位嘉宾的主旨报告，内容涵盖人工智能在畜禽养殖中的应用、山地场景下AI气象感知与智慧农业协同技术、蔬菜病虫害智能检测方法等方向，既包含前沿技术研究，也结合丰富的产业实践，充分展现了数字化技术赋能农牧业的多元路径与最新进展。

With the conclusion of the final keynote, all scheduled sessions were successfully completed. The conference brought together three keynote presentations covering AI applications in livestock farming, AI meteorological perception and smart‑agriculture collaboration for mountain scenarios, and intelligent vegetable disease detection—blending frontier research with rich industrial practice, and fully demonstrating the diverse pathways and latest advances of digital technology empowering agriculture and animal husbandry.

组委会谨向所有带来精彩分享的演讲嘉宾致以诚挚谢意，感谢各位毫无保留地分享研究成果与实践思考；也感谢每一位参会者的认真聆听与积极参与，感谢西昌学院的统筹组织及西南大学、成都信息工程大学的大力支持，感谢所有会务工作人员的辛勤付出。学术交流不止于线上的相聚，期待本次会议能为各位后续的科研与实践带来新的启发，也欢迎大家在会后继续保持沟通、深化合作。

On behalf of the Organizing Committee, we extend our sincere gratitude to all speakers for their insightful and generous sharing, and to every participant for their attentive listening and active engagement. Our thanks also go to Xichang University for its coordination, to Southwest University and Chengdu University of Information Technology for their strong support, and to all staff for their hard work. Academic exchange extends beyond this online gathering; we hope the conference inspires new ideas for your future research and practice, and we welcome continued communication and deeper collaboration afterward.