Selected publications






Fruit internal quality
Fra spildevand til biomasse, Miljøeffektiv teknologi.
Mortensen. Bent, Bent S. Bennedsen og Peter Agertoft
Naturstyrelsen 2015, ISBN 978-87-92256-32-4

Performance of a System for Apple Surface Defects Identification in Near Infrared Images.
Bennedsen, Bent S. and Donald L. Peterson,
Biosystems Engineering volume 90 issue 4 April 2005, pages 419-431.

Identifying Apple Surface Defects using Principal Components Analysis and Artificial Neural Networks.
Bennedsen, Bent S., Donald L. Peterson and Amy Tabb
Transactions of the ASAE. V50 (6), pages 2257-2265.

Quantitative Performance of Segmentation Routines for Detection of Apple Surface Defects.
Bennedsen, Bent S. Donald L. Peterson and Amy Tabb.
Transactions of the ASAE. Submitted, March 2004.

An Optical Methods for Detecting Watercore and Mealiness in Apples.
Bennedsen, Bent S. and Donald L. Peterson.
Transactions of the ASAE. Vol. 48(5): 1819-1826. 2005.


Apple sorter
 Isolating damage from mechanical harvesting of apples.
Peterson, D., L., and B. S. Bennedsen.
Applied Engineering in Agriculture. Vol. 21(1): 31-34. 2005

Modeling Nitrogen and Phosphorous Content at Early Growth Stages in Spring Barley using Spectral Line Scanning.
Lene K. Andersen, Bennedsen, B. S., Jørgensen, R. N., Nielsen, H.N.
Journal of Biosystem Engineering, Vol. 88 (1), pp. 19-24·2004

Identifying defects in images of rotating apples.
Bennedsen, B.S., D. L. Peterson, and Amy Tabb
Computers and Electronics in Agriculture, Volume 48, Issue 2, August 2005, Pages 92-102.

Spectral NPK Stress Discrimination Regions at Sub-Leaf Level in Barley.
Christensen L. K. and Bennedsen, B. S.
Scandinavian Journal of Acta Agricultura Scandinavica. Section B: Soil and Plant


Fruit internal quality
 Near Infrared (NIR) technology and multivariate data analysis for sensing taste attributes of apples.
Nawaf Abu-Khalaf and Bent S. Bennedsen:
International Agrophysics, Vol. 18, No. 3, 2004.

Relationship between Spectral Reflectance properties and taste attributes in Apples.
Bennedsen B. S., Abbott J. A., Peterson D. L.
Computers and Electronics in Agriculture.

Performance of a System for Apple Surface Defects Identification in Near Infrared Images.
B. S. Bennedsen, and D. L. Peterson.
Proceedings of the AgEng 2004 Conference, Leuven Belgium, 12-16 September 2004.

Monitoring Food Safety, Agriculture, and Plant Health.
Bent S. Bennedsen, Yud-Ren Chen, George E. Meyer, Andre G. Senecal, Shu-I Tu. (editors) 2004.
Proceedings of SPIE, 29-30 October 2003 Provi-dence, Rhode Island, USA, Volume 5271


Precision farming
 Remote sensing mapping of soil and plants as basis for a variable rate nutrient application system.
B. S. Bennedsen, L. K.Christensen, A. Pedersen, L. S. Jensen, N. E. Nielssen.
In Monitoring Food Safety, Agriculture, and Plant Health,
edited by Bent S. Bennedsen, Yud-Ren Chen, George E. Meyer, Andre G. Senecal, Shu-I Tu.
Proceedings of SPIE Vol. 5271 (SPIE, Bellingham, WA, 2004), p 212-217.

Use of unsupervised feature extraction for sorting fruits and vegetables.
Bennedsen, B.S.
In "Fruit, Nut, and Vegetable Production Engineering", Proceedings of the 6th international symposium, Potsdam 2001.
Published by ATB, Institut für Agrartechnik, Bornim.

Near Infrared (NIR) technology and multivariate data analysis for sensing taste attributes of apples.
Abu-Khalaf, N. and Bennedsen, B. S.
International AgroPhysics, 18 (3), 203-211.


Unsupervised feature extraction
 Distinguishing Carrot's Characteristics by Near Infrared (NIR) Reflectance and Multivariate Data Analysis.
Abu-Khalaf N., Bennedsen B. and Bjørn G.
Agricultural Engineering International: the CIGR Journal of Scientific Research and Development.
Manuscript FP 03 012. March 2004. Website: http://cigr-ejournal.tamu.edu/, ISSN 1682-1130.

Sensing taste attributes of plums using NIR reflectance spectroscopy.
Abu-Khalaf N. and Bennedsen B. S.
In: Jiri Blahovec and Miroslav Kutílek (Editors) Physical methods in agriculture - approach to
Precision and Quality, 429-439.

Plum-tasting using NIR technology
Abu-Khalaf N. and Bennedsen B. S.
International Agro-Physics, 16, 83-89.


Aerial digital photography
 Sensing the taste of fruits using near infrared (NIR) technology
Abu-Khalaf N. and Bennedsen B. S.
International conference: Physical Methods in Agriculture: approach to Precision and Qual-ity.
27-30 August, Prague, Czech Republic. 33-36.

Plant spectra classification by neural networks.
Bennedsen, B. S. and Rasmussen, P.
In Grenier, G. and Blackmore, S (eds), 151-156. Montpellier, France, Agro Montpellier.
Third European Conference on Precision Agriculture, June 18-20. 6-18-2001.

Estimation of plant density from aerial red-near infrared im-ages and interaction with weeds infestation and soil variability. Bennedsen, B. S. and Guiot, M.
In Grenier, G. and Blackmore, S (eds), 145-150. Montpellier, France, Agro Montpellier.
Third European Conference on Precision Agriculture, June 18-20. 6-18-2001.


Robotic bulk harvesting
 Towards a European Standard for Agricultural Engineering Curricula.
Briassoulis, D, H. Papadiamandopoulou, and Bennedsen, B.S.
Published by AgroTechnology, KVL.

Multivariate analyses for Crop growth informa-tion from line spectrometer data.
Nielsen, H.; Devantier, R.; Bennedsen, B.S.
AgEng2000, Warwick.

Crop Growth information from line spectrom-eter data using neural networks.
Bennedsen, B.S.; Rasmussen, P.; Nielsen, H.
Proceedings AgEng2000, Warwick.

A systems Approach to Robotic Bulk Harvesting of Apples. Peterson, D.L., B.S. Bennedsen, W.C. Anger, S.D. Wolford.
Transactions of the ASAE, 1999, Vol. 42(4): 871-876

Aerial Red-Near Infrared Image Studies for Prediction of Crop Status and Growth.
Bennedsen, B. S., Qu, W.
Paper presented at NJF Technia 97, Pärnu Estonia, 22-26 October 1997