المؤلفون: Nima Teimouri, Rasmus Nyholm Jørgensen, Ole Green

المصدر: Agronomy, Vol 12, Iss 5, p 1167 (2022)

مصطلحات موضوعية: deep learning, weed detection, synthetic image, computer vision, Agriculture

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4395/12/5/1167; https://doaj.org/toc/2073-4395

URL الوصول: https://doaj.org/article/c38eb70a15954f3f9fcfeaeb568de525

المؤلفون: Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft

المصدر: Sensors, Vol 21, Iss 20, p 6705 (2021)

مصطلحات موضوعية: transformer, slot attention, explainable neural network, fusion rule, weed classification, weed identification key, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/20/6705; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/69af90cc81be4f86a3b64a044749a108

المؤلفون: Søren Kelstrup Skovsen, Morten Stigaard Laursen, Rebekka Kjeldgaard Kristensen, Jim Rasmussen, Mads Dyrmann, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft

المصدر: Sensors, Vol 21, Iss 1, p 175 (2020)

مصطلحات موضوعية: mixed crop mapping, species composition estimation, targeted fertilization, grass clover mixtures, proximity sensing, precision agriculture, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/1/175; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/64a5d1c313c443048fcccb371461a563

المؤلفون: Simon Leminen Madsen, Solvejg Kopp Mathiassen, Mads Dyrmann, Morten Stigaard Laursen, Laura-Carlota Paz, Rasmus Nyholm Jørgensen

المصدر: Remote Sensing, Vol 12, Iss 8, p 1246 (2020)

مصطلحات موضوعية: dataset, plant phenotyping, plant seedlings, weed control, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/8/1246; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/3317b964e7404a01847ebecf0a9dc700

المؤلفون: Martin Peter Christiansen, Peter Gorm Larsen, Rasmus Nyholm Jørgensen

المصدر: Robotics, Vol 4, Iss 4, Pp 398-420 (2015)

مصطلحات موضوعية: animal feeding, crescendo, collaborative modeling, sensor fusion, Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2218-6581/4/4/398; https://doaj.org/toc/2218-6581

URL الوصول: https://doaj.org/article/b54bdc44008a425fa6d48cab346f24c1

المؤلفون: Peter Christiansen, Kim Arild Steen, Rasmus Nyholm Jørgensen, Henrik Karstoft

المصدر: Sensors, Vol 14, Iss 8, Pp 13778-13793 (2014)

مصطلحات موضوعية: thermal imaging, feature extraction, kNN, DCT, pattern recognition, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: http://www.mdpi.com/1424-8220/14/8/13778; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/8ad0fd955b114cb28d127da915950ba0

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

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

مصطلحات موضوعية: generative model, generative adversarial networks, supervised learning, unsupervised learning, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/11/22/2671; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/1962f2c72c6d40c298c1086d3403a3e6

المؤلفون: Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen

المصدر: Remote Sensing, Vol 11, Iss 8, p 990 (2019)

مصطلحات موضوعية: long-short term memory, fully convolutional network, sequential network, multi-temporal data, crop classification, Sentinel 1, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/11/8/990; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/98d750c493e043588198116ca08e0bcd

المؤلفون: Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Thomas Mosgaard Giselsson

المصدر: Sensors, Vol 13, Iss 5, Pp 5585-5602 (2013)

مصطلحات موضوعية: object recognition, machine vision, shape characterization, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: http://www.mdpi.com/1424-8220/13/5/5585; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/b50c46fea1b84ab49128f4646e34fd37

المؤلفون: Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen

المصدر: Sensors, Vol 18, Iss 5, p 1580 (2018)

مصطلحات موضوعية: computer vision, growth stage, leaf counting, convolutional neural network, deep learning, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: http://www.mdpi.com/1424-8220/18/5/1580; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/a350c3e1ed404411a22b53657048cba9

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

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

مصطلحات موضوعية: deep learning, clover-grass, precision agriculture, dry matter composition, proximity sensing, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/17/12/2930; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/e6e80cf2cba9499ba669503d82651697

المؤلفون: Mikkel Fly Kragh, Peter Christiansen, Morten Stigaard Laursen, Morten Larsen, Kim Arild Steen, Ole Green, Henrik Karstoft, Rasmus Nyholm Jørgensen

المصدر: Sensors, Vol 17, Iss 11, p 2579 (2017)

مصطلحات موضوعية: dataset, agriculture, obstacle detection, computer vision, cameras, stereo imaging, thermal imaging, LiDAR, radar, object tracking, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/17/11/2579; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/84cd2018be924b51b88aeda15006c944

المؤلفون: Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum

المصدر: Sensors, Vol 17, Iss 12, p 2703 (2017)

مصطلحات موضوعية: aerial robotics, canopy estimation, crop monitoring, point cloud, winter wheat mapping, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/17/12/2703; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/33a20ed9ef8e4e2ea49e6d44bdbffb55

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

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

مصطلحات موضوعية: weed crop discrimination, grid sprayer, herbicide reduction, site specific, sprayer boom, monocot and dicot coverage ratio vision (MoDiCoVi), Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: http://www.mdpi.com/1424-8220/16/11/1848; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/f28143e122c04a398261b798fdca35d6

المؤلفون: Hadi Karimi, Søren Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen

المصدر: Sensors; Volume 18; Issue 5; Pages: 1611

مصطلحات موضوعية: cereal, plants distribution, sowing performance

وصف الملف: application/pdf

Relation: Remote Sensors; https://dx.doi.org/10.3390/s18051611

الاتاحة: https://doi.org/10.3390/s18051611

المؤلفون: Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Mads Dyrmann, Robert Poulsen

مصطلحات موضوعية: Weed mapping, integrated weed management, weed recognition

Relation: https://zenodo.org/communities/waset; https://doi.org/10.5281/zenodo.1130296; https://doi.org/10.5281/zenodo.1130297; oai:zenodo.org:1130297

الاتاحة: https://doi.org/10.5281/zenodo.1130297

المؤلفون: Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Henrik Skov Midtiby, Anders Krogh Mortensen, Sanmohan Baby

مصطلحات موضوعية: Weed crop discrimination, macrosprayer, herbicide reduction, site-specific, sprayer-boom

Relation: https://zenodo.org/communities/waset; https://doi.org/10.5281/zenodo.1129564; https://doi.org/10.5281/zenodo.1129565; oai:zenodo.org:1129565

الاتاحة: https://doi.org/10.5281/zenodo.1129565

المؤلفون: Enrico Scarso, Rasmus Nyholm Jørgensen, Ettore Bolisani, Kathrin Kirchner

المصدر: Kirchner, K, Jørgensen, R, Bolisani, E & Scarso, E 2022, ' A bi-dimensional classification and characterization of enterprise social media users ', Measuring Business Excellence, vol. 26, no. 1, pp. 39-51 . https://doi.org/10.1108/MBE-11-2020-0155

مصطلحات موضوعية: Typology, Organizational Behavior and Human Resource Management, Knowledge management, Computer science, Users’ typology, Service company, Employee participation, Specific knowledge, 0502 economics and business, Social media, Survey, business.industry, 05 social sciences, Enterprise social media, General Business, Management and Accounting, Lurker, Business context, If and only if, 050211 marketing, Contributor, business, 050203 business & management

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6659544464b75423d2da23f9bba619d5
http://hdl.handle.net/11577/3390805

المؤلفون: Jacob Høxbroe Jeppesen, Rune Jacobsen, Rasmus Nyholm Jørgensen, Thomas Skjødeberg Toftegaard

المصدر: Jeppesen, J H, Jacobsen, R H, Nyholm Jørgensen, R & Toftegaard, T S 2016, ' Towards Data-Driven Precision Agriculture using Open Data and Open Source Software ' Paper fremlagt ved International Conference on Agricultural Engineering 2016, Aarhus, Danmark, 26/06/2016-29/06/2016, .
Aarhus University

مصطلحات موضوعية: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Precision agriculture, ICT, Open data, Open source software, satellite imagery

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbb3b63c009d7f222b0d97da862afaff

المؤلفون: O. M. Bøjer, B. Melander, Gaylene Somerville, Rasmus Nyholm Jørgensen, Solvejg K. Mathiassen

المصدر: Somerville, G J, Mathiassen, S K, Melander, B, Bøjer, O M & Nyholm Jørgensen, R 2021, ' Analysing the number of images needed to create robust variable spray maps ', Precision Agriculture, vol. 22, pp. 1377-1396 . https://doi.org/10.1007/s11119-021-09800-3

مصطلحات موضوعية: biology, Targeted weed treatment, Herbicides, 0211 other engineering and technologies, Viola arvensis, Contrast (statistics), Integrated weed management, 04 agricultural and veterinary sciences, 02 engineering and technology, Weed control, biology.organism_classification, Variable (computer science), Polygon, Statistics, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Precision agriculture, Application maps, General Agricultural and Biological Sciences, Weed, 021101 geological & geomatics engineering, Mathematics, Type I and type II errors

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd2921c341e1ee07167b78249e62f99
https://pure.au.dk/portal/da/publications/analysing-the-number-of-images-needed-to-create-robust-variable-spray-maps(900f9647-ba73-4ae6-9ccf-3613fae01919).html