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      • Assessing Pesticide Effects on Honeybee Movement Behavior using an In-hive Imaging System

        ( Kung-chin Wu ),( Jun-jee Chao ),( Thi Nha Ngo ),( En-cheng Yang ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        Food and cash crops in the world naturally depend on honeybees for delivering pollen. In recent years, the occurrence of the honeybee colony collapse disorder (CCD) caused a large number of honeybee populations to disappear. This phenomenon is causing a significant impact on agricultural production. Therefore, this study aims to monitor the behavior of honeybees and establish effective analysis tools to understand the causes of CCD. Honeybee interaction behavior inside the beehives offers important behavioral information. In order to analyze honeybee behavior, each individual honeybee was affixed with waterproof text labels for observation. Using image processing techniques, such as label recognition and tracking, the movement of the honeybee inside the hive are recorded. By using label tags, the honeybee can be labeled by groups, and the trajectories can be used to classify them into different groups. After obtaining the honeybee trajectories, the states and transformation conditions were determined and used to create a finite state machine (FSM) model. The FSM model was used to analyze the trajectories of the honeybee: it was divided into multiple secondary trajectories by different conditions and state transitions. The model could also be used to transform the trajectories into patterns of behavior and were combined into a sequence of behavioral patterns. Using the data obtained, it was found that in-hive and foraging bees have different trajectory and behavioral patterns. It was also found that the behavioral pattern sequences and trajectories can be used to train models using machine learning and deep learning techniques to classify and recognize different groups of honeybees. Experiments were performed using the imaging system to record and analyze long-term observation of honeybee movement behavior after treatment with pesticide in contaminated food. We further demonstrated this technique in assessing the effect of pesticide on the change of movement behaviors of honeybees.

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