**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** PRECISION LIVESTOCK FARMING (PLF) CONSISTS OF THE APPLICATION OF TECHNOLOGY WITHIN THE ANIMAL SPACE TO ALLOW AUTOMATED AND REAL-TIME DECISION MAKING AT THE INDIVIDUAL ANIMAL LEVEL IN LIVESTOCK FARMING. DESPITE ITS GREAT PROMISE TO INCREASE PROFITABILITY AND PRODUCTIVITY, ON-FARM ADOPTION OF PLF IS SLOW DUE TO TECHNOLOGY COSTS AND THE LIMITED KNOWLEDGE BASE CURRENTLY FOCUSED ON DEVELOPING AND IMPLEMENTING PLF IN LIVESTOCK AGRICULTURE. A LOW-COST TECHNOLOGY THAT HOLDS GREAT PROMISE FOR FURTHER ADVANCING PRECISION LIVESTOCK FARMING IS COMPUTER VISION (CV). COMPUTER VISION ENABLES TASK AUTOMATION BY USING COMPUTERS TO UNDERSTAND AND EXTRACT IMPORTANT FEATURES OF A PHYSICAL SYSTEM FROM DIGITAL IMAGES OR VIDEOS. IN THIS PROPOSAL A SYNERGISTIC TEAM OF RESEARCHERS FROM FOUR LEADING INSTITUTIONS IN THE FIELDS OF ANIMAL SCIENCE, COMPUTER SCIENCE AND ENGINEERING WILL SEEK TO ADVANCE DEVELOPMENT OF CV IN PLF THROUGH TWO MAIN OBJECTIVES. 1) CREATING AND RELEASING REFERENCE DATASETS AND BENCHMARKING DATA TO FACILITATE THE DEVELOPMENT OF COMPUTER VISION APPLICATIONS THAT ADDRESS KEY CHALLENGES IN PRECISION LIVESTOCK FARMING. 2) BUILDING A COORDINATED INNOVATION NETWORK (CIN) OF STAKEHOLDERS, RESEARCHERS, AND STUDENTS TO SPEED DEVELOPMENT OF COMPUTER VISION APPLICATIONS IN PRECISION LIVESTOCK FARMING. REFERENCE DATASETS AND BENCHMARKING DATA WILL BE GENERATED AT FOUR DIFFERENT INSTITUTIONS FROM PIGS AND CATTLE, INCLUDING ANNOTATED IMAGES AND GROUND TRUTH DATA FOR ANIMAL IDENTIFICATION AND DETECTION OF VARIOUS BEHAVIOR. FURTHER, BASELINE PERFORMANCE RESULTS WILL BE GENERATED BY APPLYING EXISTING ANALYSIS METHODS TO THESE DATASETS. AN ANALYTICAL CHALLENGE SERIES ORGANIZED AROUND THE REFERENCE DATASETS AND A WEBINAR SERIES ON CV AND PLF THAT WILL ATTRACT A BROAD BASE OF RESEARCHERS FROM ANIMAL SCIENCES AND VETERINARY MEDICINE TO COMPUTER SCIENCES AND ENGINEERING TO BUILD THE CIN.