YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

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Wi-Pest:a method for detecting stored grain pests based on CSI by Shaowei SHAN, Weidong YANG, Le XIAO, Ke WANG

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Biology-Informed inverse problems for insect pests detection using pheromone sensors by Malou, Thibault, Parisey, Nicolas, Adamczyk-Chauvat, Katarzyna, Vergu, Elisabeta, Laroche, Béatrice, Calatayud, Paul-André, Lucas, Philippe, Labarthe, Simon

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Apnet: Lightweight network for apricot tree disease and pest detection in real-world complex backgrounds by Minglang Li, Zhiyong Tao, Wentao Yan, Sen Lin, Kaihao Feng, Zeyi Zhang, Yurong Jing

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Classifying Sunn Pest Damaged and Healthy Wheat Grains Across Different Species with YOLOV8 and Vision Transformers by Melike Çolak, Özgü Özkan, Ali Berkol, Nergis Pervan Akman, Murat Ardıç, Okan Sezer, Nazife Gözde Ayter Arpacıoğlu, Zekiye Budak Başçiftçi, Murat Olgun

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SP-YOLO: A Real-Time and Efficient Multi-Scale Model for Pest Detection in Sugar Beet Fields by Ke Tang, Yurong Qian, Hualong Dong, Yuning Huang, Yi Lu, Palidan Tuerxun, Qin Li

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IoT-Based Pest Detection in Agriculture Using Raspberry Pi and YOLOv10m for Precision Farming by Zarboubi Mohamed, Bellout Abdelaaziz, Chabaa Samira, Dliou Azzedine, Zeroual Abdelouhab

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