{"id":2285,"date":"2026-04-23T14:43:40","date_gmt":"2026-04-23T18:43:40","guid":{"rendered":"https:\/\/wp.well-e.org\/publication\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\/"},"modified":"2026-08-09T03:44:52","modified_gmt":"2026-08-09T07:44:52","slug":"farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2","status":"publish","type":"publication","link":"https:\/\/wp.well-e.org\/en\/publication\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\/","title":{"rendered":"Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap"},"content":{"rendered":"<p><strong>Authors:<\/strong> Francois Gonothi Toure and Abdoulaye Banir\u00e9 Diallo and Mounir Boukadoum<\/p>\n<p><strong>Date:<\/strong> 2026-06-01<\/p>\n<p><strong>Journal:<\/strong> IEEE Transactions on AgriFood Electronics<\/p>\n<p><strong>Status:<\/strong> Published<\/p>\n<p><strong>DOI:<\/strong> 10.1109\/TAFE.2026.3687491<\/p>\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/11573053\" target=\"_blank\" rel=\"noopener\">View External Publication<\/a><\/p>\n<hr>\n<p>While breakthroughs in autonomous robotics and multimodal artificial intelligence (AI) promise continuous, real-time monitoring for precision livestock farming, their practical on-farm application faces significant limitations, revealing a critical \u201clab-to-farm\u201d deployment gap driven by fundamental challenges to the embodied AI in robotics community, including poor model generalization, simulation-to-reality fragility, and the absence of standard validation benchmarks. This review highlights today\u2019s state of the art in autonomous robotics and AI to help understand and bridge the gap. From an initial pool of over 900 articles, we selected 33 studies from 2021 to 2025 to propose recommendations for adopting farm-scale autonomous monitoring. Our review reveals that about 67% of the robotics and autonomy research relies on simulation, with no validation in dynamic farm environments. Based on this finding, we propose a technical roadmap that focuses on three pillars: first, the use of Generative AI for data standardization and simulation-to-reality adaptation; second, the adoption of a \u201cleave-one-farm-out\u201d or LOFO protocol for rigorous field validation; and third, the development of Edge native systems. Furthermore, we define a standardized welfare Insight schema to facilitate the creation of reproducible datasets, thus enabling the development of truly robust models for livestock welfare.<\/p>","protected":false},"template":"","meta":{"_acf_changed":false},"class_list":["post-2285","publication","type-publication","status-publish","hentry"],"blocksy_meta":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap - WELL-E<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wp.well-e.org\/en\/publication\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap - WELL-E\" \/>\n<meta property=\"og:description\" content=\"Authors: Francois Gonothi Toure and Abdoulaye Banir\u00e9 Diallo and Mounir Boukadoum Date: 2026-06-01 Journal: IEEE Transactions on AgriFood Electronics Status: Published DOI: 10.1109\/TAFE.2026.3687491 View External Publication While breakthroughs in autonomous robotics and multimodal artificial intelligence (AI) promise continuous, real-time monitoring for precision livestock farming, their practical on-farm application faces significant limitations, revealing a critical \u201clab-to-farm\u201d [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wp.well-e.org\/en\/publication\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\/\" \/>\n<meta property=\"og:site_name\" content=\"WELL-E\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-09T07:44:52+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/wp.well-e.org\\\/publication\\\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\\\/\",\"url\":\"https:\\\/\\\/wp.well-e.org\\\/publication\\\/farm-scale-autonomous-welfare-monitoring-in-smart-livestock-farming-a-systematic-review-of-robotics-and-multimodal-ai-with-an-emphasis-on-the-lab-to-farm-deployment-gap-2\\\/\",\"name\":\"Farm-Scale Autonomous Welfare Monitoring in Smart Livestock Farming: A Systematic Review of Robotics and Multimodal AI With an Emphasis on the Lab-to-Farm Deployment Gap - 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