From reactive to proactive: impact of artificial intelligence on management and selection of livestock

rofitability and sustainability of most businesses, agricultural or otherwise (
Geroski et al., 1993 ;
Läpple and Thorne, 2019). Agriculture, especially in crop production, has been an early and rapid adopter of precision management techniques, which are usually powered by artificial intelligence (AI) tools to assist crop management and decision support (
Lowenberg-DeBoer and Erickson, 2019). However, the livestock production sector faces additional challenges compared to precision crop farming in the on-farm application of technology, such as animal mobility and rearing conditions that are u

原文链接:https://journals.aai.org/af/article/14/6/64/7942666?searchresult=1

Frontiers | Editorial: Advancing animal reproduction: Artificial Intelligence, precision technologies and reproductive biotechnologies

ductive biotechnologies
1 Introduction
Reproductive biotechnologies have revolutionized animal breeding programs over the last 50 years, continuing to be the driving force behind improvements in reproductive performance. The use of nanotechnology, precision technologies and artificial intelligence (AI) are still in their infancy in animal reproduction, but their application to breeding programs are steadily increasing as the world finds new ways to promote sustainability, enhance conservation, and ensure food security for decades to come, particularly under climate change challenges.
This Rese

原文链接:https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2026.1790388/full

中国农大携手地方推动智慧养殖升级:“神农大模型”赋能鄂托克旗智慧畜牧业发展

,为后续技术落地筑牢“需求导向”基础。
此次合作重点锚定两大关键方向,精准破解产业难题:一方面,构建“AI+疫病防控”智能体系。依托神农大模型的数据分析与预警能力,团队将协助鄂托克旗建立畜牧疫情动态监测机制
通过实时整合养殖场景数据、区域疫病历史信息,大模型可快速识别潜在疫情风险,向养殖户、基层兽医推送精准预警信息与防控建议,变“被动应对”为“主动预防”,既为兽医减负、降低人工排查成本,也为牲畜健康保驾护

原文链接:https://www.farmer.com.cn/2025/12/11/wap_991007616.html

ASAS-NANP Symposium: Mathematical modeling in animal nutrition: revolutionizing animal farming with artificial intelligence: trends, challenges, and opportunities – PMC

editing
Luis O Tedeschi : Writing – review & editing
Received 2025 Apr 17; Accepted 2025 Nov 8; Collection date 2026.
© The Author(s) 2025. Published by Oxford University Press on behalf of the American Society of Animal Science.
PMCID: PMC12875599 PMID: 41410516
Abstract
Artificial intelligence (AI) can transform livestock farming as producers start using data-driven decisions in key areas, such as animal health, reproduction, behavior, nutrition, and production management. This review examines how AI technologies, like machine learning, computer vision, and sensor-based systems, help monit

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12875599/

中科闻歌联手中科院自动化所:AI水稻育种进入落地阶段_凤凰网

中科闻歌联手中科院自动化所:AI水稻育种进入落地阶段
凤凰网科技
2026年07月03日 16:11:28 来自北京市
凤凰网科技讯 7月3日,中科闻歌科技股份有限公司、中国科学院自动化研究所、湖南省农业科学院昨日正式签署三方合作协议,将围绕“人工智能+农业科研”开展长期联合攻关,并以水稻育种为核心场景推进 AI for Science 技术落地。
根据合作安排,三方将聚焦科研数据治理、领域知识工程、科学基础模型、智能决策平台、产业成果转化五大方向,推动

原文链接:https://tech.ifeng.com/c/8uScGKUXqRO

市农业农村局关于公开征集 “人工智能+农业”应用需求和场景的通知-武汉市农业农村局

针对2026年相关的AI畜牧、智能饲喂与动物育种领域,AI在农业中的应用可覆盖这些方向:AI+育种可利用AI算法加速基因型与表型数据分析,实现育种材料的智能化筛选、性状预测与亲本选配,加速智能育种模型构建并缩短育种周期;AI+畜禽养殖可探索智能饲喂系统,基于畜禽个体特征和实时环境数据,通过AI算法动态调整饲料配方和投喂量,还可通过物联网传感器采集环境参数自动调节通风、温控设备,通过智能耳标、项圈等设备实时监测畜禽生理参数

原文链接:https://nyncj.wuhan.gov.cn/zhlm/tzgg/202604/t20260416_2753862.html

卫星直连牛项圈落地,牧场远程管牛不再是梦?-贤集网

其真正的“大脑”是一套名为“Cowgorithm”的自研AI算法。项圈内置传感器每分钟采集超过1000个数据点,涵盖牛的位置、运动轨迹、反刍情况、体温和发情周期等。Cowgorithm通过深度学习,不仅能判断一头牛“正在做什么”,更能预测它“将要发生什么”。
这套系统赋予牧场主前所未有的主动管理能力。健康预警方面,AI通过分析步态数据的微小变化,能比人眼提前数日发现跛行倾向;精准繁育方面,系统能准确识别发情期并预测产犊时间;优化轮牧方

原文链接:https://m.xianjichina.com/special/detail_610145.html

Frontiers | Can in vitro embryo production be estimated from semen variables in Senepol breed by using artificial intelligence?

o Brasil SA, Mogi Mirim, Brazil
6.
Centro Avançado de Pesquisa de Bovinos de Corte, Agência Paulista de Tecnologia dos Agronegócios/Instituto de Zootecnia (APTA/IZ), Sertãozinho, Brazil
Abstract
Thoroughly analyzing the sperm and exploring the information obtained using artificial intelligence (AI) could be the key to improving fertility estimation. Artificial neural networks have already been applied to calculate zootechnical indices in animals and predict fertility in humans. This method of estimating the results of reproductive biotechnologies, such as in vitro embryo production (IVEP)

原文链接:https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2023.1254940/full

贵港1个智慧农业建设典型案例入选2026广西智慧农业应用场景汇编_贵港_广西壮族自治区农业农村厅

企业,2023年 8 月成立于贵港市桂平市马皮乡马皮村灯盏岭,建成 200 万羽全自动化蛋鸡养殖场,日产鲜蛋约 80 吨。12 栋鸡舍采用谷瑞、大牧人全自动养殖设备,配套中央输蛋系统及全自动蛋品清洗分级机。项目部署“木鸡郎”AI 巡检机器人,基于家禽体态特征图像识别与深度学习模型,死鸡识别准确率 99%、弱鸡及绝产鸡识别准确率90%,并应用声纹检测技术预警异常状态;构建IoT 中间件实现鸡舍数据 30 秒级同步,环控器自动调控通风、喂料、清粪、

原文链接:http://nynct.gxzf.gov.cn/xwdt/gxlb/gg/t27904514.shtml

首农食品集团发布“AI+畜禽育种协同创新平台”

首农食品集团发布“AI+畜禽育种协同创新平台”
2025-10-13 22:12 来源:农民日报客户端 编辑:暴佳然 作者:李德勇
10月12日,2025世界农业科技创新大会国际智能育种论坛在金海湖国际会议中心隆重举行。论坛以“智能育种 拥抱梦想”为主题,由北京首农食品集团有限公司、平谷区人民政府、中信农业科技股份有限公司、北京市农林科学院联合主办,北京生物种业创新联合体、北京首农股份有限公司承办。来自农业农村部、北京市农业农村局等有关部门

原文链接:https://www.farmer.com.cn/2025/10/13/wap_991001581.html