Sökning: "Insect Detection"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Insect Detection.

  1. 1. Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Shuo Yang; [2019]
    Nyckelord :Physical Geography and Ecosystem Analysis; Remote Sensing; Bark Beetle; Insect Detection; Sentinel-2; Forest Health; Maximum Likelihood; Random Forest; Spectral Signature; Vegetation Indices; Earth and Environmental Sciences;

    Sammanfattning : The European spruce bark beetle is considered as one of the most destructive forest insects to Norway spruce trees in Europe. Climate change may increase the frequency and intensity of bark beetle outbreaks. It is therefore of vital importance to detect the bark beetle outbreaks and take it under control to prevent further damages. LÄS MER

  2. 2. Unbiased pitch detection and phase estimation in entomological lidar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Johan Fogelmark; [2019]
    Nyckelord :Entomological lidar; wing beat frequency estimation; phas; Mathematics and Statistics;

    Sammanfattning : 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. LÄS MER

  3. 3. Bioinformatic approaches for detecting homologous genes in the genomes of non-model organisms : A case study of wing development genes in insect genomes

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Evolutionsbiologi

    Författare :Lauri Mesilaakso; [2019]
    Nyckelord :bioinformatics; homology detection; exonerate; BLAST; non-model organisms; homologous genes; wing development genes;

    Sammanfattning : 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. LÄS MER

  4. 4. Miniaturization of a Low Power Harmonic Radar for UAV use

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Saleh Aljaser; [2019]
    Nyckelord :Harmonic; Radar; Insects; Tracking; Detection; UAV; FMCW; Small; Low Power; Wireless; Communications; Technology and Engineering;

    Sammanfattning : 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. LÄS MER

  5. 5. Unbiasing entomological kHz Scheimpflug LIDAR data

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Författare :Alexandra Andersson; [2018]
    Nyckelord :Entomological LIDAR; Insect detection; Wing-beat frequency; Unbiasing of analysis model; Physics and Astronomy;

    Sammanfattning : 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. LÄS MER