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Pest detection using adaptive thresholding
2017 International Conference on Computing, Communication and Automation (ICCCA), 2017Pest detection is crucial to secure crops and ensure food quality. A lot of work is being carried out for the effective identification of pests. In this paper we will develop a novel and fast methodology to detect and enumerate the pests present in an image using rapid feature detection algorithm.
Yogesh Kumar +2 more
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Surveillance techniques for non‐native insect pest detection* [PDF]
The risk of introduction of new insect pest species is growing with the increase in passenger travel and the trade in plant products worldwide. Though effective detection methods exist in a number of cases, only some of them are applied in practice through organized networks.
Quilici S., Donner P., Battisti A.
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Pest Detection Using Image Denoising and Cascaded Unet Segmentation for Pest Images
Tuijin Jishu/Journal of Propulsion Technology, 2023This study proposes a novel approach for pest detection in pest images using image denoising and cascaded UNET segmentation. The proposed approach involves the use of a hybrid neural network RESNET50 with CNN for image dataset training, optimized using Believed Adam Optimization.
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Agricultural Pests and Disease Detection
2021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021K Prathima +4 more
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Pest Detection Using Random Forest
2023 International Conference on IoT, Communication and Automation Technology (ICICAT), 2023Shikha Sharma +2 more
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Pest Detection Using Machine Learning
2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET), 2023Shikha Sharma +2 more
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Molecular Detection in Integrated Pest and Disease Management
2007The basic principles of detection applied to IPM of plant pests and diseases are described, including immunodetection, monoclonal antibodies, DNA-based detection procedures and molecular fluorescent probes. Applications in disease and pest management are revised, in reference to field detection of plant pathogens, detection in vectors and pathogens ...
Finetti-Sialer M.M. (1), Rosso L. (2)
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Nonnative pest establishment: Spatial patterns and public detection
Journal of Environmental ManagementEarly detection of new pests can reduce their long-term impacts by enabling more rapid management response. Knowledge of pest establishment risk and background rates of detection (e.g., by the public) can help inform more cost-effective targeting of formal early detection survey programs.
Rebecca Epanchin-Niell, Xueting Pi
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Adaptive Tiny Object Detection for Improving Pest Detection
2022 26th International Conference on Pattern Recognition (ICPR), 2022Renjie Huang +4 more
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YOLO-pest: a real-time multi-class crop pest detection model
International Conference on Computer Application and Information Security (ICCAIS 2021), 2022Shifeng Dong +3 more
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