A Lightweight Pest Detection Model for Drones Based on Transformer and Super-Resolution Sampling Techniques
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- Zijia Yang & Hailin Feng & Yaoping Ruan & Xiang Weng, 2023. "Tea Tree Pest Detection Algorithm Based on Improved Yolov7-Tiny," Agriculture, MDPI, vol. 13(5), pages 1-22, May.
- Dana Čirjak & Ivan Aleksi & Darija Lemic & Ivana Pajač Živković, 2023. "EfficientDet-4 Deep Neural Network-Based Remote Monitoring of Codling Moth Population for Early Damage Detection in Apple Orchard," Agriculture, MDPI, vol. 13(5), pages 1-20, April.
- Xinyu Jia & Xueqin Jiang & Zhiyong Li & Jiong Mu & Yuchao Wang & Yupeng Niu, 2023. "Application of Deep Learning in Image Recognition of Citrus Pests," Agriculture, MDPI, vol. 13(5), pages 1-19, May.
- Liangquan Jia & Tao Wang & Yi Chen & Ying Zang & Xiangge Li & Haojie Shi & Lu Gao, 2023. "MobileNet-CA-YOLO: An Improved YOLOv7 Based on the MobileNetV3 and Attention Mechanism for Rice Pests and Diseases Detection," Agriculture, MDPI, vol. 13(7), pages 1-18, June.
- Zahid Ullah & Najah Alsubaie & Mona Jamjoom & Samah H. Alajmani & Farrukh Saleem, 2023. "EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images," Agriculture, MDPI, vol. 13(3), pages 1-13, March.
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- Wei Li & Lizhou Zhu & Jun Liu, 2024. "PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection," Agriculture, MDPI, vol. 14(5), pages 1-14, April.
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smart agriculture; pest detection; Transformer; super resolution;All these keywords.
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