** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE AIM OF THIS PROJECT IS TO LEVERAGE THE USE OF ACOUSTIC DATA TO ADDRESS TWO SIGNIFICANT CHALLENGES TO THE DAIRY INDUSTRY: ANIMAL WELFARE AND CLIMATE CHANGE. THE LONG-TERM OBJECTIVE OF THIS PROPOSAL IS TO DEVELOP AN ACOUSTIC, DATA-DRIVEN TOOL TO LEVERAGE ANIMAL WELFARE AND ACCELERATE THE MITIGATION OF METHANE EMISSIONS IN PRECISION LIVESTOCK FARMING (PLF). THE TOOL IS AN AUTOMATIC AND COMPREHENSIVE PIPELINE THAT MANAGES, ANALYZES, AND EVALUATES PRODUCTION QUALITY USING ACOUSTIC DATA IN THE COW PRODUCT INDUSTRY. TO SUPPORT THE LONG-TERM GOAL, THE SPECIFIC OBJECTIVES OF THIS PROPOSAL INCLUDE: (1) TO TEST ACOUSTIC DATA TO ASSESS CALF STRESS AND WELFARE POST-WEANING OBJECTIVELY, (2) TO TEST ACOUSTIC DATA TO DETERMINE THE POTENTIAL GENETIC VARIATION AND NUTRITIONAL EFFECTS ON ERUCTATION PATTERNS TO LEVERAGE FUTURE METHANE EMISSION MITIGATION STRATEGIES, AND (3) TO IMPROVE THE EFFICIENCY IN MANAGING ACOUSTIC DATA FOR PRECISION LIVESTOCK FARMING, WHICH CONTAINS MILLIONS OF DATA POINTS FOR A SINGLE COW IN ONE DAY, BY DEVELOPING BOTH A PYTHON LIBRARY TOOL AND A WEB-BASED APPLICATION. THIS PROJECT SPECIFICALLY ADDRESSES TWO OF THE SIX PROGRAM AREA PRIORITIES OF AGRICULTURE AND FOOD RESEARCH INITIATIVE (AFRI), WHICH ARE (B) ANIMAL HEALTH AND PRODUCTION AND ANIMAL PRODUCTS AND (D) BIOENERGY, NATURAL RESOURCES, AND ENVIRONMENT.