Search Results - pest detection algorithm
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Development of automatic pest sampling and detection system for cash crops
Published 2019“…Connected components algorithm was implemented for insect detection and counting. …”
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Development of an automated multidirectional pest sampling detection system using motorized sticky traps
Published 2021“…This study describes the design and development of a prototype for an automatic pest sampling and detection system for agricultural crops. …”
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Deep learning detector for pests and plant disease recognition
Published 2020“…And developing a quick and accurate model could help in detecting pests and diseases in plants. Meanwhile, evolution in deep convolutional neural networks for image classification has rapidly improved the accuracy of object detection, classification and system recognition. …”
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A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae)
Published 2021“…After some improvements on training dataset and marking detected bagworm with bounding box, a deep learning algorithm with Faster Regional Convolutional Neural Network (Faster R-CNN) algorithm was applied leading to the percentage of the detection accuracy increased up to 100% at a camera distance of 30 cm in close conditions. …”
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The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review
Published 2022“…Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies have been developed in recent years to increase weed detection speed and accuracy, resolving the contradiction between the goals of enhancing soil health and achieving sufficient weed control for profitable farming. …”
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An annotated image dataset of urban insects for the development of computer vision and deep learning models with detection tasks
Published 2025“…The dataset was intended to serve as a dataset for computer scientists or entomologists to compare the performance of deep learning models that can be used to build an automatic detection system for urban insect diversity or pest control studies.…”
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Vision based entomology: a survey
Published 2014“…Over the past decades, automatic insect recognition and classification has been given extra attention especially in term of crop pest and disease control. This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. …”
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Advances in automatic insect classification
Published 2014“…Over the past decades, automatic insect recognition and classification has been given extra attention especially in term of crop pest and disease control. This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. …”
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