** 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 AGRICULTURE TECHNOLOGY IS POTENTIALLY TO IMPROVE MANAGEMENT EFFICIENCY IN ANIMAL PRODUCTION BY MONITORING BEHAVIORAL AND BIOLOGICAL CHARACTERISTICS OF INDIVIDUAL ANIMALS. CURRENT METHODS IN ESTRUS CHECK ARE LABOR INTENSIVE AND CAN BE IMPROVED TO INCREASE THE REPRODUCTIVITY AND MANAGEMENT EFFICIENCY. THIS PROJECT AIMS TO DEVELOP AND VALIDATE AN AUTOMATED SOW ESTRUS DETECTION AND DECISION-MAKING SYSTEM TO INCREASE MANAGEMENT EFFICIENCY, REDUCE LABOR DEMAND AND IMPROVE THE SUSTAINABILITY OF SWINE PRODUCTION. A ROBOTIC IMAGING SYSTEM WILL BE DEVELOPED TO CONTINUOUSLY MONITOR INDIVIDUAL SOWS AND GILTS, AND COLLECTED IMAGERY DATA WILL BE ANALYZED USING ADVANCED MACHINE LEARNING MODULES TO QUANTIFY VULVA SIZE, ACTIVITIES, AND BODY CONDITIONS. DATA-DRIVEN DECISION-MAKING SYSTEMS WILL BE DEVELOPED FOR DETECTING ESTRUS AND IDENTIFYING OPTIMAL ARTIFICIAL INSEMINATION TIMING. IMPROVED MANAGEMENT PROTOCOLS WILL BE ASSESSED THROUGH ON-FARM EVALUATIONS AND FEASIBLE STUDY USING ECONOMIC ANALYSIS. THE NOVELTY OF THIS PROJECT IS THAT, FOR THE FIRST TIME, BOTH BEHAVIORAL AND BIOLOGICAL CHARACTERISTICS OF INDIVIDUAL SOWS TOWARDS ESTRUS ARE QUANTIFIED USING A ROBOTIC IMAGING SYSTEM. THE SUCCESS OF THE PROJECT MAY DISCOVER THE INSIGHTS BETWEEN REPRODUCTIVE PERFORMANCE AND BIOLOGICAL AND BEHAVIORAL CHARACTERISTICS. WE WILL DEVELOP VARIOUS EXTENSION ACTIVITIES TO DISSEMINATE THE FINDINGS OF THE IS PROJECT AND PROMOTE PRECISION AGRICULTURE IN ANIMAL PRODUCTION. SHORT COURSES, CERTIFICATE AND ONLINE TRAINING PROGRAMS WILL BE DEVELOPED TO PROVIDE EDUCATION OF DIGITAL TECHNOLOGIES IN ANIMAL PRODUCTION. WE EXPECT THAT ARTIFICIAL INTELLIGENCE-POWERED DECISION-MAKING SYSTEMS CAN IMPROVE THE REPRODUCTIVITY AND SUSTAINABILITY OF SWINE PRODUCTION, WHICH ALIGNS WITH THE LONG-TERM GOAL OF USDA NIFA AND THIS PROGRAM.