Search Results - (( developing pest detection algorithm ) OR ( java implication based 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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Thesis -
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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. …”
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Final Year Project / Dissertation / Thesis -
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A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae)
Published 2021“…Hence, the development of an image processing algorithm for detection and counting of Metisa plana Walker, a species of Malaysia’s local bagworm, using image segmentation has been researched and completed. …”
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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“…A large image dataset with the aim of developing an insect recognition algorithm like YOLO. …”
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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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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
