FISH FARMING IS AN IMPORTANT AGRICULTURE SECTOR AND PLAYS A CRITICAL ROLE IN SECURING FOOD SAFETY IN THE UNITED STATES AND AROUND THE WORLD. HOWEVER, FOR FISH FARMING TO TAKE OFF, DRASTIC IMPROVEMENTS ARE REQUIRED TO CURRENT LABOR-INTENSIVE AND RESOURCE-INEFFICIENT OPERATIONS.THE MAIN OBJECTIVE OF THE PROPOSED PROJECT IS TO DESIGN, DEVELOP AND FIELD-TEST THE HYBRID AERIAL/UNDERWATER ROBOTIC SYSTEM (HAUCS) FOR AQUACULTURE FISH FARM WATER QUALITY MONITORING. HAUCS WILL BE CAPABLE OF COLLABORATIVE MONITORING AND DECISION-MAKING ON FARMS OF VARYING SCALES. HAUCS WILL CONDUCT AUTOMATED SAMPLING AT FREQUENCIES RELEVANT FOR ACCURATE PREDICTION OF WATER QUALITY VARIATION (E.G., HOURLY DIEL READINGS), PROVIDING SIGNIFICANT ADVANTAGES IN SPEED, COST, RESOURCE EFFICIENCY, ADAPTABILITY, AND CONTROLLABILITY OVER THE TRADITIONAL MANUAL AND TRUCK-MOUNTED WATER QUALITY MEASUREMENT SYSTEMS ON THE FISH FARMS. HAUCS HAS THE POTENTIAL TO BRING TRANSFORMATIVE CHANGES TO HOW THE AQUACULTURE FISH FARMS OPERATE.HAUCS IS AN END-TO-END FRAMEWORK CONSISTS OF THREE ESSENTIAL SUBSYSTEMS: A TEAM OF COLLABORATIVE AMPHIBIOUS ROBOTIC SENSING PLATFORMS INTEGRATED WITH UNDERWATER SENSORS; A LAND-BASED HOME STATION THAT CAN PROVIDE AUTOMATED CHARGING AND SENSOR CLEANING; AND THE BACKEND PROCESSING CENTER CONSISTS OF A MACHINE LEARNING BASED WATER QUALITY PREDICTION MODEL AND THE FARM CONTROL CENTER.EACH HAUCS PLATFORM COVERS A SUBSET OF PONDS, AUTOMATICALLY ACQUIRES SENSOR DATA IN EACH POND AT A REGULAR INTERVAL. THE AMPHIBIOUS DESIGN ENABLES THE PLATFORM TO MOVE OVER THE LEVEE SEPARATING THE PONDS AND TO BETTER COPE WITH THE SEVERE WEATHER SUCH AS HIGH WIND. IN COMBINATION WITH THE AUTOMATIC CLEANING AT THE LAND-BASED HOME STATION, THE RISK OF SENSOR BIOFOULING WILL BE AVOIDED. THE BRAIN IN THE BACKEND PROCESSING CENTER PROVIDES SEVERAL-STEPS-AHEAD PREDICTION OF THE POND WATER QUALITY AND CAN MITIGATE A POND IN DISTRESS SUCH AS PREDICTED DISSOLVED OXYGEN DEPLETION, EITHER AUTOMATICALLY OR IN CLOSE COLLABORATION WITH THE HUMAN SITE MANAGERS AND OPERATORS.THE PROPOSED HAUCS FRAMEWORK IS A DISRUPTIVE TECHNOLOGY THAT HAS THE POTENTIAL TO MARKEDLY INCREASE ADOPTION OF ROBOTIC TECHNOLOGY IN THE FIELD OF AQUACULTURE FARMING, A SECTOR OF AGRICULTURE THAT HAS SEEN MINIMAL ROBOTICS DEVELOPMENT. WHILE THE PROJECT AIMS AT OVERCOMING ONE CRITICAL FACTOR PLAGUING THE AQUACULTURE FARMING - THE HIGH-COST AND UNRELIABILITY OF THE WATER QUALITY CONTROLS (IN PARTICULAR, DISSOLVED OXYGEN DEPLETION), THE UNDERLYING METHODOLOGY OF BUILDING AN INTERNET OF THINGS FRAMEWORK ON THE AQUACULTURE FARM CAN BE ENHANCED TO HANDED OTHER TASKS ON THE AQUACULTURE FARMS. THIS TECHNOLOGY, THEREFORE, HAS SIGNIFICANT SOCIAL, ENVIRONMENTAL, AND ECONOMIC BENEFITS AND CAN FUNDAMENTALLY TRANSFORM HOW AQUACULTURE FARMING IS CONDUCTED IN THE UNITED STATES AND AROUND THE WORLD.A MAJOR REASON FOR THE LOW ADOPTION OF ROBOTIC TECHNOLOGY IN AQUACULTURE FISH FARMING IS THE LACK OF TECHNOLOGY AWARENESS AMONG THE FISH FARMERS. ONE OUTCOME OF THIS PROJECT CAN BE THE ESTABLISHMENT OF AN EXEMPLARY HAUCS AQUACULTURE FISH FARM AT HBOI/FAU AS A DEMONSTRATION SITE, THROUGH THE COLLABORATION BETWEEN THE RESEARCH TEAM AND USDA. SUCH SITE WILL BE HIGHLY BENEFICIAL IN EDUCATING THE FARMERS WITH THE GOAL TO SIGNIFICANTLY IMPROVE THE PENETRATION OF THE ROBOTIC TECHNOLOGY IN THE FISH FARMING INDUSTRY. THIS PROJECT ALSO ADDRESSES THE BROADER IMPACTS OF IMPROVING UNDERGRADUATE STEM EDUCATION, INCREASING PARTICIPATION OF UNDER-REPRESENTED STEM POPULATIONS, AND PROMOTING PUBLIC SCIENTIFIC LITERACY. INTEGRATING RESEARCH, EDUCATION, AND COMMUNITY OUTREACH, INQUIRY-BASED AND SERVICELEARNING COMPONENTS ARE PROPOSED AS EVIDENCED-BASED PRACTICES TO PROMOTE STUDENT OUTCOMES AND WORKPLACE SKILLS. EVALUATION COMPONENTS INCLUDE A KNOWLEDGE INVENTORY FOR MIDDLE-SCHOOL STUDENTS AND MEASURES OF UNDERGRADUATE ENGAGEMENT.