Výsledky vyhledávání - "Anders Krogh Mortensen"

Akademický článek

High-speed camera system for efficient monitoring of invasive plant species along roadways [version 2; peer review: 1 approved, 2 approved with reservations]

Autor: Mikkel Fly Kragh, Anders Krogh Mortensen, Søren Kelstrup Skovsen, Peter Hviid Christiansen, Mads Dyrmann

Publikováno v: F1000Research, Vol 13 (2024)

Invasive plant species pose ecological threats to native ecosystems, particularly in areas adjacent to roadways, considering that roadways represent lengthy corridors through which invasive species can propagate. Traditional manual survey methods for

Externí odkaz: https://doaj.org/article/6ea6a4cb2e914a08b5963aa10c7582af

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Akademický článek

High-speed camera system for efficient monitoring of invasive plant species along roadways [version 1; peer review: 1 approved, 2 approved with reservations]

Autor: Mikkel Fly Kragh, Anders Krogh Mortensen, Søren Kelstrup Skovsen, Peter Hviid Christiansen, Mads Dyrmann

Publikováno v: F1000Research, Vol 13 (2024)

Externí odkaz: https://doaj.org/article/ae1f2d40a9fc48e28278f763d8d38316

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Akademický článek

Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms

Autor: Takashi Sonam Tashi Tanaka, Sheng Wang, Johannes Ravn Jørgensen, Marco Gentili, Armelle Zaragüeta Vidal, Anders Krogh Mortensen, Bharat Sharma Acharya, Brittany Deanna Beck, René Gislum

Publikováno v: Drones, Vol 8, Iss 6, p 212 (2024)

The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replaceme

Externí odkaz: https://doaj.org/article/8756d4b14de8403ab7c39781aa2689af

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Akademický článek

The Use of Remote Sensing to Determine Nitrogen Status in Perennial Ryegrass (Lolium perenne L.) for Seed Production

Autor: René Gislum, Stamatios Thomopoulos, Jacob Glerup Gyldengren, Anders Krogh Mortensen, Birte Boelt

Publikováno v: Nitrogen, Vol 2, Iss 2, Pp 229-243 (2021)

Sufficient nitrogen (N) supply is decisive to achieve high grass seed yields while overfertilization will lead to negative environmental impact. From the literature, estimation of N rates taking into account the crop’s N status and its yield potent

Externí odkaz: https://doaj.org/article/c9758496a5e04799bfc0ad18be7402c6

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Akademický článek

Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning

Autor: Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge

Publikováno v: Sensors, Vol 21, Iss 18, p 6126 (2021)

Invasive alien plant species (IAPS) pose a threat to biodiversity as they propagate and outcompete natural vegetation. In this study, a system for monitoring IAPS on the roadside is presented. The system consists of a camera that acquires images at h

Externí odkaz: https://doaj.org/article/89f93b81d2c8468ba7bc31df2f7fa22a

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Akademický článek

The Use of Multispectral Imaging and Single Seed and Bulk Near-Infrared Spectroscopy to Characterize Seed Covering Structures: Methods and Applications in Seed Testing and Research

Autor: Anders Krogh Mortensen, René Gislum, Johannes Ravn Jørgensen, Birte Boelt

Publikováno v: Agriculture, Vol 11, Iss 4, p 301 (2021)

The objective of seed testing is to provide high-quality seeds in terms of high varietal identity and purity, germination capacity, and seed health. Across the seed industry, it is widely acknowledged that quality assessment needs an upgrade and impr

Externí odkaz: https://doaj.org/article/b1eb5edc14dd48338afe40ceb0466374

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Akademický článek

Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN

Autor: Simon Leminen Madsen, Anders Krogh Mortensen, Rasmus Nyholm Jørgensen, Henrik Karstoft

Publikováno v: Remote Sensing, Vol 11, Iss 22, p 2671 (2019)

Lack of annotated data for training of deep learning systems is a challenge for many visual recognition tasks. This is especially true for domain-specific applications, such as plant detection and recognition, where the annotation process can be both

Externí odkaz: https://doaj.org/article/1962f2c72c6d40c298c1086d3403a3e6

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Akademický článek

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks

Autor: Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Kim Arild Steen, Ole Green, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft

Publikováno v: Sensors, Vol 17, Iss 12, p 2930 (2017)

Optimal fertilization of clover-grass fields relies on knowledge of the clover and grass fractions. This study shows how knowledge can be obtained by analyzing images collected in fields automatically. A fully convolutional neural network was trained

Externí odkaz: https://doaj.org/article/e6e80cf2cba9499ba669503d82651697

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Akademický článek

Dicotyledon Weed Quantification Algorithm for Selective Herbicide Application in Maize Crops

Autor: Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Kjeld Jensen, Martin Peter Christiansen, Thomas Mosgaard Giselsson, Anders Krogh Mortensen, Peter Kryger Jensen

Publikováno v: Sensors, Vol 16, Iss 11, p 1848 (2016)

The stricter legislation within the European Union for the regulation of herbicides that are prone to leaching causes a greater economic burden on the agricultural industry through taxation. Owing to the increased economic burden, research in reducin

Externí odkaz: https://doaj.org/article/f28143e122c04a398261b798fdca35d6

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