Sökning: "Insect Detection"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Insect Detection.

1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

   Författare :Cina Arjmand; [2023]
   Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

   Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

3. 2. Evaluating forest restoration effects on timing of avian dawn chorus in Ranomafana National Park, Madagascar

   Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental Studies

   Författare :Marjolein Pijper; [2023]
   Nyckelord :acoustic monitoring; forest restoration; dawn chorus; avian singing; bird monitoring; automatic recognition;

   Sammanfattning : Monitoring of forest restoration efforts is essential to ensure healthy, self-sustaining tropical rainforests. Passive acoustic monitoring is used to monitor vocal activity of birds, which play a key role in forest ecosystems as seed dispersers. LÄS MER

4. 3. Tidig detektering avgranbarkborreangrepp med hjälp avfjärranalys via Sentinel-2

   Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

   Författare :Najm Eddin Eid; Petter Jakobsson; [2022]
   Nyckelord :Remote sensing; Sentinel-2; spruce bark beetle; spruce forest; vegetation analysis; vegetation index; band combinations; image analysis.; Fjärranalys; Sentinel-2; granbarkborre; granskog; vegetationsanalys; vegetationsindex; bandkombinationer; bildanalys.;

   Sammanfattning : Granbarkborre är en av Sveriges mest destruktiva skadeinsekter som angriper granskog. Insekten har medfört förödande konsekvenser för granskog, framför allt sedan2018 där stora arealer granskog nästan har eliminerats. Insekten trivs i varmt ochtorrt klimat. LÄS MER

5. 4. Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices

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

   Författare :Karl Piltz; [2022]
   Nyckelord :Geomatics; Remote sensing; Bark beetle; Early-stage; Vegetation index; Sentinel-2; Spruce; Forestry; Earth and Environmental Sciences;

   Sammanfattning : The European spruce bark beetle is an insect that is often referred to as a pest. Responsible for the destruction of over 150 million m3 of Norwegian spruce forest in Europe over the last 50 years makes this insect one of the major disturbances to the forest industry. LÄS MER

7. 5. NDVI time series analysis for desert locust outbreak detection and quantification analysis of its impact on vegetation productivity of Sahel

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

   Författare :Evangelos Oikonomopoulos; [2020]
   Nyckelord :Physical Geography and Ecosystem Analysis; Primary Productivity; Desert Locust; NDVI; Time Series Analysis; Outbreak Detection; Food Security; Sahel; Insect Disturbances; GEM; Earth and Environmental Sciences;

   Sammanfattning : It has been shown that the semi-arid environment of the Sahelian belt plays an important role in the global carbon uptake as the fluctuation of its primary productivity can be determinant for the global carbon uptake. The insect Schistocerca gregaria commonly known as the desert locust is a disturbance factor that can affect the vegetation productivity for consecutive seasons. LÄS MER