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COMPREHENSIVE ANALYSIS OF MODEL ERRORS IN BLUEBERRY DETECTION AND MATURITY CLASSIFICATION: IDENTIFYING LIMITATIONS AND PROPOSING FUTURE IMPROVEMENTS IN AGRICULTURAL MONITORING

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dc.creatorCAROLA ANDREA FIGUEROA FLORES
dc.creatorCRISTHIAN ALEJANDRO AGUILERA CARRASCO
dc.date2023
dc.date.accessioned2025-01-10T15:47:19Z
dc.date.available2025-01-10T15:47:19Z
dc.date.issued2023
dc.description.abstractIN BLUEBERRY FARMING, ACCURATELY ASSESSING MATURITY IS CRITICAL TO EFFICIENT HARVESTING. DEEP LEARNING SOLUTIONS, WHICH ARE INCREASINGLY POPULAR IN THIS AREA, OFTEN UNDERGO EVALUATION THROUGH METRICS LIKE MEAN AVERAGE PRECISION (MAP). HOWEVER, THESE METRICS MAY ONLY PARTIALLY CAPTURE THE ACTUAL PERFORMANCE OF THE MODELS, ESPECIALLY IN SETTINGS WITH LIMITED RESOURCES LIKE THOSE IN AGRICULTURAL DRONES OR ROBOTS. TO ADDRESS THIS, OUR STUDY EVALUATES DEEP LEARNING MODELS, SUCH AS YOLOV7, RT-DETR, AND MASK-RCNN, FOR DETECTING AND CLASSIFYING BLUEBERRIES. WE PERFORM THESE EVALUATIONS ON BOTH POWERFUL COMPUTERS AND EMBEDDED SYSTEMS. USING TYPE-INFLUENCE DETECTOR ERROR (TIDE) ANALYSIS, WE CLOSELY EXAMINE THE ACCURACY OF THESE MODELS. OUR RESEARCH REVEALS THAT PARTIAL OCCLUSIONS COMMONLY CAUSE ERRORS, AND OPTIMIZING THESE MODELS FOR EMBEDDED DEVICES CAN INCREASE THEIR SPEED WITHOUT LOSING PRECISION. THIS WORK IMPROVES THE UNDERSTANDING OF OBJECT DETECTION MODELS FOR BLUEBERRY DETECTION AND MATURITY ESTIMATION.
dc.formatapplication/pdf
dc.identifier.doi10.3390/agriculture14010018
dc.identifier.issn2077-0472
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/13653
dc.languagespa
dc.publisherAGRICULTURE-BASEL
dc.relation.uri10.3390/agriculture14010018
dc.rightsPUBLICADA
dc.subjectsmart agriculture
dc.subjectmaturity estimation
dc.subjectmachine learning
dc.subjectedge computing
dc.subjectcomputer vision
dc.subjectblueberry detection
dc.titleCOMPREHENSIVE ANALYSIS OF MODEL ERRORS IN BLUEBERRY DETECTION AND MATURITY CLASSIFICATION: IDENTIFYING LIMITATIONS AND PROPOSING FUTURE IMPROVEMENTS IN AGRICULTURAL MONITORING
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE CIENCIAS DE LA COMPUTACION Y TECNOLOGIA DE LA INFORMACION.
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA ELECTRICA Y ELECTRONICA
ubb.SedeCHILLÁN
ubb.SedeCONCEPCIÓN
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