Essays about: "Insect detection"

Showing result 1 - 5 of 16 essays containing the words Insect detection.

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

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

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

    Abstract : 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. READ MORE

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

    University essay from SLU/Dept. of Wildlife, Fish and Environmental Studies

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Evangelos Oikonomopoulos; [2020]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Shuo Yang; [2019]
    Keywords : 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;

    Abstract : 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. READ MORE