Essays about: "Insect Detection"
Showing result 6 - 10 of 16 essays containing the words Insect Detection.
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6. Unbiased pitch detection and phase estimation in entomological lidar
University essay from Lunds universitet/Matematisk statistikAbstract : Good insect monitoring is important for both disease vector control and e?cient usage of pesticides in farming. Entomological lidar has been proven useful for detecting and monitoring insects. For every insect that transit the laser beam a backscatter signal containing species-specific information is obtained. READ MORE
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7. Bioinformatic approaches for detecting homologous genes in the genomes of non-model organisms : A case study of wing development genes in insect genomes
University essay from Uppsala universitet/EvolutionsbiologiAbstract : Identifying homologous genes, that is genes from a common ancestor, is important in comparative genomic studies for understanding gene annotation and the predicted function of a gene. Several pieces of software, of which the most well-known is BLAST, have been developed for identifying homologues, but this can be challenging in non-model organisms where sometimes poor quality of genome assemblies and lack of annotation make it difficult to robustly identify homologues. READ MORE
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8. Miniaturization of a Low Power Harmonic Radar for UAV use
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The aim with this Master thesis work is to design, build and test a small size, light weight and low power consumption harmonic radar system that will be installed in a flying drone for the purpose of tracking and localizing tagged Bogong moths near their aestivation caves and crevices in Australia during summer. A FMCW harmonic radar is proposed, it comprises a radar transmitter, receiver and a signal processor. READ MORE
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9. Unbiasing entomological kHz Scheimpflug LIDAR data
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikAbstract : Insects can be mapped using a method called Scheimpflug Lidar (LIght Detection And Ranging). Sending out light in the near infrared range and detecting the backscattered echo, it is possible to resolve flying organisms in range and time. Insect observations can be distinguished from the background signal through adaptive thresholding. READ MORE
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10. Insect Event Extraction in LIDAR Images using Image Analysis and Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Insect monitoring has earlier been a manual, tedious and time consuming task that is impossible to do in real time. Thus there exists a need for a real time automatic insect monitoring system for counting and classifying insect for use in scientific research and pesticide spraying control. READ MORE