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Dive into the research topics where Svend Christensen is active.

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Featured researches published by Svend Christensen.


Ecological Applications | 2016

Ecologically sustainable weed management: How do we get from proof‐of‐concept to adoption?

Matt Liebman; Bàrbara Baraibar; Yvonne M. Buckley; Dylan Z. Childs; Svend Christensen; Roger D. Cousens; Hanan Eizenberg; S. Heijting; Donato Loddo; Aldo Merotto; Michael Renton; M.M. Riemens

Weed management is a critically important activity on both agricultural and non-agricultural lands, but it is faced with a daunting set of challenges: environmental damage caused by control practices, weed resistance to herbicides, accelerated rates of weed dispersal through global trade, and greater weed impacts due to changes in climate and land use. Broad-scale use of new approaches is needed if weed management is to be successful in the coming era. We examine three approaches likely to prove useful for addressing current and future challenges from weeds: diversifying weed management strategies with multiple complementary tactics, developing crop genotypes for enhanced weed suppression, and tailoring management strategies to better accommodate variability in weed spatial distributions. In all three cases, proof-of-concept has long been demonstrated and considerable scientific innovations have been made, but uptake by farmers and land managers has been extremely limited. Impediments to employing these and other ecologically based approaches include inadequate or inappropriate government policy instruments, a lack of market mechanisms, and a paucity of social infrastructure with which to influence learning, decision-making, and actions by farmers and land managers. We offer examples of how these impediments are being addressed in different parts of the world, but note that there is no clear formula for determining which sets of policies, market mechanisms, and educational activities will be effective in various locations. Implementing new approaches for weed management will require multidisciplinary teams comprised of scientists, engineers, economists, sociologists, educators, farmers, land managers, industry personnel, policy makers, and others willing to focus on weeds within whole farming systems and land management units.


Computers in Biology and Medicine | 2014

OvaSpec - A vision-based instrument for assessing concentration and developmental stage of Trichuris suis parasite egg suspensions

Johan Musaeus Bruun; Jens Michael Carstensen; Nermina Vejzagić; Svend Christensen; Allan Roepstorff; Christian Moliin Outzen Kapel

BACKGROUND OvaSpec is a new, fully automated, vision-based instrument for assessing the quantity (concentration) and quality (embryonation percentage) of Trichuris suis parasite eggs in liquid suspension. The eggs constitute the active pharmaceutical ingredient in a medicinal drug for the treatment of immune-mediated diseases such as Crohn׳s disease, ulcerative colitis, and multiple sclerosis. METHODS This paper describes the development of an automated microscopy technology, including methodological challenges and design decisions of relevance for the future development of comparable vision-based instruments. Morphological properties are used to distinguish eggs from impurities and two features of the egg contents under brightfield and darkfield illumination are used in a statistical classification to distinguish eggs with undifferentiated contents (non-embryonated eggs) from eggs with fully developed larvae inside (embryonated eggs). RESULTS For assessment of the instrument׳s performance, six egg suspensions of varying quality were used to generate a dataset of unseen images. Subsequently, annotation of the detected eggs and impurities revealed a high agreement with the manual, image-based assessments for both concentration and embryonation percentage (both error rates <1.0%). Similarly, a strong correlation was demonstrated in a final, blinded comparison with traditional microscopic assessments performed by an experienced laboratory technician. CONCLUSIONS The present study demonstrates the applicability of computer vision in the production, analysis, and quality control of T. suis eggs used as an active pharmaceutical ingredient for the treatment of autoimmune diseases.


7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada | 2009

Designing, modeling and controlling a novel autonomous laser weeding system

Esmaeil S. Nadimi; Kim Johan Andersson; Rasmus Nyholm Jørgensen; Jørgen Maagaard; Solvejg K. Mathiassen; Svend Christensen

Abstract: in this paper, the process of designing and developing a novel laser weeding test setup is explained. The main purpose of designing this system was to simulate the dynamic field conditions of a mobile vehicle capable of targeting weeds. This system consists of a rig containing three conveyor belts fully controlled by a Siemens PLC controller (programmable logic controller), a stereo vision system consisting of two cameras, a 2-axis laser beam deflection unit and a laser source. The main challenge in this project was to accurately estimate and reconstruct the weed growth center using the stereo vision system. The growth center was then targeted by a laser beam controlled by a deflection unit. The preliminary test results showed a good performance of the system than can replace usage of herbicides.


Weed Research | 2018

Reviewing research priorities in weed ecology, evolution and management : a horizon scan

Paul Neve; Jacob N. Barney; Yvonne M. Buckley; Roger D. Cousens; Sonia Graham; Nicholas R. Jordan; Amy Lawton-Rauh; Matt Liebman; M B Mesgaran; Marc Schut; Justine D. Shaw; Jonathan Storkey; Bàrbara Baraibar; R S Baucom; M Chalak; Dylan Z. Childs; Svend Christensen; Hanan Eizenberg; César Fernández-Quintanilla; Kris French; Melanie A. Harsch; S. Heijting; Laura Harrison; Donato Loddo; M Macel; N Maczey; Aldo Merotto; D Mortensen; Jevgenija Necajeva; Duane A. Peltzer

Summary Weedy plants pose a major threat to food security, biodiversity, ecosystem services and consequently to human health and wellbeing. However, many currently used weed management approaches are increasingly unsustainable. To address this knowledge and practice gap, in June 2014, 35 weed and invasion ecologists, weed scientists, evolutionary biologists and social scientists convened a workshop to explore current and future perspectives and approaches in weed ecology and management. A horizon scanning exercise ranked a list of 124 pre‐submitted questions to identify a priority list of 30 questions. These questions are discussed under seven themed headings that represent areas for renewed and emerging focus for the disciplines of weed research and practice. The themed areas considered the need for transdisciplinarity, increased adoption of integrated weed management and agroecological approaches, better understanding of weed evolution, climate change, weed invasiveness and finally, disciplinary challenges for weed science. Almost all the challenges identified rested on the need for continued efforts to diversify and integrate agroecological, socio‐economic and technological approaches in weed management. These challenges are not newly conceived, though their continued prominence as research priorities highlights an ongoing intransigence that must be addressed through a more system‐oriented and transdisciplinary research agenda that seeks an embedded integration of public and private research approaches. This horizon scanning exercise thus set out the building blocks needed for future weed management research and practice; however, the challenge ahead is to identify effective ways in which sufficient research and implementation efforts can be directed towards these needs.


Weed Research | 2009

Site-specific weed control technologies.

Svend Christensen; Henning Tangen Søgaard; Per Kudsk; Michael Nørremark; Ivar Lund; Esmaeil S. Nadimi; Rasmus Nyholm Jørgensen


European Journal of Agronomy | 2016

Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?

Jesper Rasmussen; Georgios Ntakos; Jon Nielsen; Jesper Svensgaard; Robert N. Poulsen; Svend Christensen


Computers and Electronics in Agriculture | 2012

Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks

Esmaeil S. Nadimi; Rasmus Nyholm Jørgensen; Victoria Blanes-Vidal; Svend Christensen


Weed Research | 2013

Potential uses of small unmanned aircraft systems (UAS) in weed research

Jakob E. Rasmussen; John Nielsen; Francisco Garcia-Ruiz; Svend Christensen; Jens C. Streibig


Journal of Experimental Botany | 2015

Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap

Dominik K. Großkinsky; Jesper Svensgaard; Svend Christensen; Thomas Roitsch


Agronomy | 2014

Development of a Mobile Multispectral Imaging Platform for Precise Field Phenotyping

Jesper Svensgaard; Thomas Roitsch; Svend Christensen

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Bàrbara Baraibar

Pennsylvania State University

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Esmaeil S. Nadimi

University of Southern Denmark

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S. Heijting

Wageningen University and Research Centre

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Donato Loddo

National Research Council

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