25/05/2026
๐๐๐ฒ ๐๐, ๐๐๐๐: ๐
๐ข๐ฏ๐-๐๐๐ฒ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐จ๐ง ๐ญ๐ก๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐จ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐) ๐ข๐ง ๐๐ข๐ฏ๐๐ฌ๐ญ๐จ๐๐ค ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ
A five-day Training Workshop on the Application of Artificial Intelligence (AI) in Livestock Research Systems commenced today and will continue until May 29, 2026. The objectives of the training workshop are as follows:
โข Enhance the knowledge and technical capacity of livestock researchers and professionals in the application of Artificial Intelligence (AI) tools for livestock research, scientific writing, data analysis, and evidence-based decision-making.
โข Strengthen participantsโ practical skills in the use of AI-driven livestock and precision farming technologies for animal monitoring, disease detection, herd management, and productivity improvement.
โข Promote the effective and ethical integration of AI technologies and digital research platforms into livestock research and development through hands-on training, practical exercises, and applied learning.
The workshop brings together researchers and professionals from National Livestock Research Centre (NLRC), National Development Centre for Animal Nutrition (NDCAN), National Cattle Breeding Centre (NCBC) and Cluster Finance Services (CFS Bumthang) to enhance their knowledge and practical skills in utilizing AI technologies to improve livestock research, data analysis, precision farming, and scientific communication.
The training workshop session is expected to introduce the fundamentals of artificial intelligence, its applications in livestock research systems, and the ethical considerations associated with AI adoption.
A major focus of the workshop is equipping participants with AI-powered tools such as ChatGPT, Claude, DeepSeek, Paperpal, Grammarly, NotebookLM, Cainthus, Connecterra, Moocall, CattleEye, Allflex Livestock Intelligence, Afimilk, Orange Data Mining, RapidMiner, Google Colab, KNIME, Roboflow, YOLOv8, Teachable Machine, Elicit, Perplexity AI, ResearchGate, Connected Papers, Consensus, and Scite ai to efficiently identify, evaluate, and synthesize scientific evidence relevant to livestock and veterinary sciences.
The Training workshop is being jointly organized by National Livestock Research Centre (NLRC), Bumthang and Jigme Namgyel Engineering College (JNEC), Dewathang under RGoB fund support and the training was attended by 26 participants. The expertise for the training session were facilitated from JNEC, Dewathang.
Ministry of Agriculture and Livestock, Royal Government of Bhutan Department of Livestock, Royal Government of Bhutan Jigme Namgyel Engineering College National Research and Development Centre For Animal Nutrition Cluster Finance Services, Ministry of Finance, Bumthang