Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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    Magnetic Resonance in Food Science - Food for Thought
    Duynhoven, J.P.M. van; Belton, P.S. ; Webb, G.A. ; As, H. van - \ 2013
    London : RSC Books - ISBN 9781849736343 - 235
    voedselwetenschappen - voedingsmiddelen - kernspintomografie - diagnostische technieken - voedselverwerking - spectroscopie - afbeelden - voedselkwaliteit - voedselveiligheid - food sciences - foods - magnetic resonance imaging - diagnostic techniques - food processing - spectroscopy - imagery - food quality - food safety
    There are many challenges and problems in food science and magnetic resonance methods may be used to provide answers and deepen both fundamental and practical knowledge. This book presents innovations in magnetic resonance and in particular applications to understanding the functionality of foods, their processing and stability and their impact on health, perception and behaviour. Coverage includes structure and function, emphasizing respectively applications of spectroscopy/relaxometry and imaging/diffusometry; high resolution NMR spectroscopy as applied to quality and safety and foodomics; and dedicated information on perception and behaviour demonstrating the progress that has been made in applications of fMRI in this field.
    Update Beeldenbank : ziekten, plagen en onkruiden
    Os, G.J. van - \ 2011
    plantenziekten - plantenplagen - databanken - informatiesystemen - afbeelden - informatieontsluiting - agrarisch onderwijs - kennisoverdracht - plant diseases - plant pests - databases - information systems - imagery - information retrieval - agricultural education - knowledge transfer
    Ca. 250 nieuwe items (foto’s met bijbehorende informatie over symptomen, oorzaak en maatregelen) over herbicideschade, gebreksziekten en natuurlijke vijanden worden toegevoegd aan de openbare beeldenbank ziekten, plagen en onkruiden. Behalve voor onderwijsdoeleinden is de beeldenbank ook interessant voor boeren, telers, voorlichters en particulieren. In mei 2008 is de beeldenbank publiek ontsloten op: www.groenkennisnet.nl
    Images, imagination, insight
    Emons, A.M.C. - \ 2011
    Wageningen : Wageningen University - ISBN 9789085858881
    afbeelden - verbeelding - cellen - celbiologie - foto's - imagery - imagination - cells - cellular biology - photographs
    Google Earth based visualization of Sustainable Outlook(GESO)
    Lammeren, R.J.A. van; Hilferink, M. ; Bergsma, A.R. ; Beek, M. - \ 2008
    Wageningen : CGI (CGI report 2008-03) - 43
    landgebruik - luchtkarteringen - afbeelden - 3d visualisatie - land use - aerial surveys - imagery - 3d visualization
    GESO is a tool to prepare a Google Earth visualisation of the Dutch land use scenarios as created by the Netherlands Environmental Assessment Agency. This Google Earth for the Sustainable Outlook application, named GESO, forms an update of the previous VisualScan attempt. The GESO application aims to be an effective, easy and low cost way to study Sustainable Outlook data via an interactive 3D visualization that integrates the land use icon and landscape feature approach as presented in the VisualScan study. The concept and implementation of GESO are explained and many examples of using GESO are given. The final chapter concludes and discusses the results and gives content-wise and technical recommendations for follow up projects.
    Tropical forest mapping using polarimetric and interferometric SAR data
    Prakoso, K.U. - \ 2006
    Wageningen University. Promotor(en): Reinder Feddes, co-promotor(en): Dirk Hoekman. - Wageningen : Kemal Unggul Prakoso - ISBN 9789085043140 - 125
    cartografie - bosinventarisaties - remote sensing - afbeelden - indonesië - polarimetrie - interferometrie - classificatie - mapping - forest inventories - remote sensing - imagery - indonesia - polarimetry - interferometry - classification

    A study was made of the potential of the combined use of C-, L- and P-band polarimetric and C- and L-band interferometric airborne SAR data for tropical forest mapping. These data were collected with the NASA/JPL AirSAR during the PacRim-2 2000 campaign in Indonesia. The Sungai Wain forest reserve and its surrounding area near Balikpapan city, located in the province of East-Kalimantan, Indonesia, was chosen as study site. This site covers an area of 10 x 60 km2, which consists of a wide variety and complex mosaic of vegetation and land cover types. Extensive and detailed ground data measurements were made.

    The approach presented in this thesis includes new elements such as (1) slope correction, using InSAR, (2) mapping, using a new reversible transform technique and (3) Iterated Conditional Modes (ICM), using prior knowledge such as height and texture. The C-band InSAR DEM allowed for a correction of the disturbing effects of relief on the backscatter level. The new method based on a reversible transform of the covariance matrix was introduced to describe the full polarimetric information of land cover type target properties, allowing for the development of simple and robust classifiers. The ICM approach was extended using additional information such as 3-D textural information derived from the InSAR DEM. This approach was demonstrated using a substantial ground truth data set of land cover observations; the result was then validated using a large independent data set with a different legend structure. The results show that most land cover types can be accurately mapped. The land cover classification result reached 88.9% accuracy for a commonly used legend, while for the independent data set, using a 'radar' legend with more classes, the result improved to 93.8%. Validation of the results by inter-comparison provided large consistency. The best results of land cover type classification are obtained for the C- and P-band and for the C-, L- and P-band fully polarimetric combinations, for which the additional use of relief correction and texture had no noticeable effects. Biomass data were collected for a large number of forests transects and several non-forest plots. The linear relationships between biomass and the radar responses in C-, L- and P-band were not strong. It is evident that this result is caused by the complexity of vegetation, frequent forest fires and the effect of radar saturation at a certain biomass level.

    his study has provided the first experiences with this kind of new technology and methodology in Indonesia. It may offer a substantia) contribution to the developments of similar approaches for tropical forest regions in general, especially in those areas where it is difficult to obtain data from optical sensors.

    Experimenten in een paprikateelt met het experimenteer platform
    Tuijl, B.A.J. van; Hemming, J. - \ 2004
    onbekend : Agrotechnology & Food Sciences Group (Rapport / Wageningen UR, Agrotechnology & Food Innovations 306) - ISBN 9789067548601 - 30
    capsicum annuum - beeldverwerking - vruchtzetten - afbeelden - reflectie - paprika - glastuinbouw - glasgroenten - capsicum annuum - image processing - fruit set - imagery - reflection - sweet peppers - greenhouse horticulture - greenhouse vegetables
    Spectral imaging for measuring biochemicals in plant material
    Polder, G. - \ 2004
    Delft University of Technology. Promotor(en): I.T. Young. - [S.I.] : S.n. - ISBN 9789090185378 - 150
    spectraalanalyse - spectrale gegevens - beeldverwerking - afbeelden - plantensamenstelling - gewasanalyse - vruchten - voedselkwaliteit - gegevensanalyse - ruimtelijke verdeling - ruimtelijke variatie - spectral analysis - spectral data - image processing - imagery - plant composition - plant analysis - fruits - food quality - data analysis - spatial distribution - spatial variation
    Spectral imaging for measuring biochemicals in plant material De kwaliteitseisen die consumenten stellen aan fruit en ander plantaardig voedsel, nemen steeds toe. Belangrijke kwaliteitskenmerken zijn; smaak, rijpheid en gezondheidsbevorderende eigenschappen. Deze aspecten worden vooral bepaald door de aan- en afwezigheid van biochemische inhoudsstoffen in het voedsel. Dit proefschrift gaat over de rol van spectrale beeldverwerking voor het visualiseren en kwantificeren van deze inhoudsstoffen in plantaardig materiaal. De promovendus hoopt dat het een bijdrage levert aan de toepassing van spectrale beeldverwerking voor het kwaliteit-sorteren van plantaardige producten. Vergeleken met traditionele machine vision applicaties, op basis van kleuren camera's, of spectroscopische punt metingen zonder ruimtelijke informatie, is spectrale beeldverwerking een nieuwe uitdaging voor real-time sorteer toepassingen. Omdat het opname systeem, veel complexer is, is kalibratie van het systeem ook veel lastiger. Ook de grote hoeveelheid data die het systeem oplevert, vraagt om data reductie methoden en geavanceerde analyse methoden. In dit proefschrift worden verschillende technieken voor kalibratie, data-analyse, datareductie en het meten van de ruimtelijke distributie van inhoudsstoffen beschreven.
    Geo-virtual reality and participatory planning
    Lammeren, R.J.A. van; Hoogerwerf, T.C. - \ 2003
    Wageningen : Centre Geo-Information (CGI-rapport 2003-07) - 61
    ruimtelijke ordening - landschap - ontwerp - participatie - computersimulatie - afbeelden - computertechnieken - meetkunde - physical planning - landscape - design - participation - computer simulation - imagery - computer techniques - geometry
    Image analysis, methanogenic activity measurements, and molecular biological techniques to monitor granular sludge from EGSB reactors fed with oleic acid
    Pereira, M.A. ; Roest, K. de; Stams, A.J.M. ; Akkermans, A.D.L. ; Amaral, A.L. ; Pons, M.N. ; Ferreira, E.C. ; Mota, M. ; Alves, M. - \ 2003
    Water Science and Technology 47 (2003). - ISSN 0273-1223 - p. 181 - 188.
    slib - oleïnezuur - korrels - afbeelden - methaan - elektroforese - microbiële afbraak - afvalwaterbehandeling - sludges - oleic acid - granules - imagery - methane - electrophoresis - microbial degradation - waste water treatment - gradient gel-electrophoresis - diversity - bacteria - biodegradability - identification - toxicity - dna
    Morphological changes in anaerobic granular sludge fed with increasing loads of oleic acid were quantified by image analysis. The combination of this technique with data on-the accumulation of adsorbed long chain fatty acid and with the molecular characterization of microbial community gave insight into the mechanisms of sludge disintegration, flotation and washout
    Morphological changes in anaerobic granular sludge fed with increasing loads of oleic acid were quantified by image analysis. The combination of this technique with data on-the accumulation of adsorbed long chain fatty acid and with the molecular characterization of microbial community gave insight into the mechanisms of sludge disintegration, flotation and washout. It was found that the bacterial domain was more affected than the archaeal domain during this process. However, no acetoclastic activity and only a residual hydrogenotrophic activity were detected in the sludge at the end of the operation.
    Nederland kiest voor voordelen van visionsysteem: classificatiesystemen en toekomstige ontwikkelingen
    Walstra, P. ; Lambooij, E. - \ 2002
    Vleesindustrie 8 (2002)10. - ISSN 1385-7312 - p. 26 - 29.
    classificatie - karkassen - karkassamenstelling - karkasbeoordeling - karkaskwaliteit - computertechnieken - afbeelden - beeldverwerkers - machine vision - classificatiesystemen - classification - carcasses - carcass composition - carcass grading - carcass quality - computer techniques - imagery - image processors - classification systems
    Visiontechnieken zijn de meest recente apparatuur om varkenskarakassen te classificeren en volledig automatisch te beoordelen
    Een databank met waarderingen van bosbeelden
    Boer, T.A. de; Raffe, J.K. van - \ 2001
    Nederlands Bosbouwtijdschrift 73 (2001)4. - ISSN 0028-2057 - p. 18 - 20.
    bossen - belevingswaarde van bossen - bomen - databanken - afbeelden - bosbeleid - bosbedrijfsvoering - proefprojecten - beleving - bos - omgevingspsychologie - recreatie - forests - amenity value of forests - trees - databases - imagery - forest policy - forest management - pilot projects
    Bericht betreffende een pilot-onderzoek naar de mogelijkheid om bosbeelden te waarderen en deze vervolgens op te slaan in een databank
    Belevingsonderzoek met een virtueel bos
    Buijs, A.E. ; Berg, A.E. van den - \ 2000
    Agro Informatica 13 (2000)2. - ISSN 0925-4455 - p. 29 - 31.
    bosrecreatie - belevingswaarde van bossen - lopen - multimediaal onderwijs - afbeelden - machine vision - internet - computernetwerken - 3d visualisatie - forest recreation - amenity value of forests - walking - multimedia instruction - imagery - machine vision - internet - computer networks - 3d visualization
    Presentatie van de eerste resultaten van een belevingsonderzoek van deelnemers die via internet met 3-dimensionale visualisaties aan een boswandeling konden meedoen
    Toepassing van beeldanalyse in het histopathologisch onderzoek
    Bakker, R. - \ 1999
    Wageningen : RIKILT-DLO (Rapport / RIKILT 99.002) - 14
    histopathologie - afbeelden - histopathology - imagery
    Kijk in de stallen van het hightechbedrijf
    Nijssen, K. ; Dijksterhuis, P. - \ 1999
    Praktijkonderzoek Rundvee, Schapen en Paarden. Praktijkonderzoek 12 (1999)6. - ISSN 1386-8470 - p. 25 - 25.
    melkveehouderij - melkvee - stallen - afbeelden - transmissie - videocamera's - huisvesting van kalveren - internet - computernetwerken - dairy farming - dairy cattle - stalls - imagery - transmission - video cameras - calf housing - internet - computer networks
    Op de website van het PR bestaat sinds kort de mogelijkheid om live in de stallen van het high-techbedrijf te kijken. Zowel in de melkveestal als in de jongveestal is een webcam geplaatst. Deze camera maakt bij daglicht elke 15 seconden een foto van wat er op dat moment in de stal gebeurt.
    Detection, classification and localisation of cucumber fruits within their environment by computer vision
    Groenen, R.L. - \ 1997
    Wageningen : IMAG-DLO - 61
    afbeelden - beeldverwerking - machine vision - imagery - image processing - machine vision
    Quality assessment of remote sensing image registration - analysis and testing of control point residuals.
    Buiten, H.J. ; Putten, B. van - \ 1997
    ISPRS Journal of Photogrammetry and Remote Sensing 52 (1997). - ISSN 0924-2716 - p. 57 - 73.
    afbeelden - fotointerpretatie - remote sensing - imagery - photointerpretation - remote sensing
    A geo-information theoretical approach to inductive erosion modelling based on terrain mapping units
    Suryana, N. - \ 1997
    Agricultural University. Promotor(en): M. Molenaar; A.C. Imeson. - S.l. : [s.n.] - ISBN 9789054856306 - 234
    bodem - erosie - geografische informatiesystemen - cartografie - theorie - remote sensing - fotointerpretatie - afbeelden - modellen - onderzoek - soil - erosion - geographical information systems - mapping - theory - remote sensing - photointerpretation - imagery - models - research
    Three main aspects of the research, namely the concept of object orientation, the development of an Inductive Erosion Model (IEM) and the development of a framework for handling uncertainty in the data or information resulting from a GIS are interwoven in this thesis. The first and the second aspect of the thesis discuss simultaneously the application of a terrain mapping unit (TA" in hierarhical observational procedures and an IEM in a GIS environment. These aspects were aimed at providing an alternative solution to the traditional approach to data acquisition, data capture and producing aggregated information for a GIS.

    The third aspect discusses the application of standard deviation, probability of misclassification, membership degree and plausibility reasoning for handling error and uncertainty associated with data inputs and information outputs handled by a GIS in general and into and from the Indonesian Field Engineering Design Plan (FEDP) in particular. It is aimed mainly at establishing a framework for representing uncertainty in geographical data manipulation. GIS logical models, the characteristics of logical GIS models, types of uncertainty including error due to variability, imprecision, ambiguity and a proposed conceptual framework based on the concept of certainty factors are discussed.

    The research involved the establishment of stable basic mapping units that allow the definition of repeatable and hierarchical observational procedures. This solution was addressed especially to the situation when sophisticated software and good quality data are not available. In this research, TMUs are defined as areas with a particular combination of geology, geomorphology, morphometry and soil characteristics, usually obtained by interpretation of aerial photo or SPOT images. Terrain areas having similar relief characteristics are identified, delineated and verified in the field. The delineated TMUs represent natural divisions of the terrain often with distinct boundaries.

    Attributes associated with the established TMUs were selected and used to clasify TMUs. A classification hierarchy of TMU was established in the fight of object oriented modelling including abstraction, inheritance, aggregation and association of terrain objects. The hierarchy has three levels, namely level +1 (superclass level refered to as TMU), level 0 (class level refered to as sub TMU) and level -1 (elementary object refered to as subsub TMU). A lower level in the classification hierarchy represents more refined or specialised information.

    The well known deductive erosion model, the Universal Sod Loss Equation (USLE) is incomplete in predicting spatial erosion processes. More sophisticated models (i.e. CREAMS, ANSWERS, EPIC, WEPP, GAMES) have failed to account for the complexity of erosion processes and there are no means for validation of model predictions. An alternative to the problem is suggested through an inductive (bottom-up) approach. This approach involves an Inductive Erosion Model (IEM), which was built on observations including dynamic (resilience) and static (inertia) site specific erosion influencing factors in one or more sample areas, made on site at the farmer's field level which is the best functional unit to describe erosion class at local level. An IEM model therefore is region specific. Once an IEM is built and tested for each type of TMU then it can be incorporated within the GIS environment as an acceptable means to predict safely the severity of sod erosion for the entire study area. Erosion severity classes predicted by an IEM are considered as active or dynamic attributes of the established TMUs. By definition TMU provides inherently erosion influencing factors, so called terrain characteristics including morphometry, geology, soil and ground cover. An IEM is intended to predict homogeneous erosion severity classes, related to TMUs at different aggregation or hierarchical levels. The aggregation levels are related to point observations, farmers field level (FFL) and larger parts of the terrain. The discussion of this aspect is focused on the role of the TMU in the observational procedure providing input for an IEM.

    The established hierarchical mapping units served as a basis for inductive erosion modelling, incorporating expert knowledge-based inference rules. The inductive erosion modelling followed a multi-scale approach and was implemented in a GIS environment. Application of the concepts of regionalization, observed pattern, and decision rules in predicting and modelling purposes are discussed. At regional level patterns associated with the main erosive processes such as sheet, rill, gully and ravine features are generally still identifiable on the aerial photos at scale 1 : 50 000. However, more detailed information on these types of active process at local level can be obtained only by more detailed study, i.e., erosion study at the FFL. In this regard, the FFL is considered as a suitable basic functional unit to describe erosion at local level.

    Instead of using probability reasoning, which must follow statistical constraints, production rules allow the introduction of a Certainty Factor (CF) for handling both uncertainty in data, models and the resulting information. The C17 can be obtained as a subjective judgment made by experts and comes naturally to experts either in inferring underlying processes or estimating quality of data and models being used. With special reference to the situation when all procedures and techniques for determining probability and obtaining quantitative information particularly in data poor environment are unlikely to be performed, this study demonstrated sufficiently the application of the concept of CF.

    In the fight of evidence theory, an IEM for predicting erosion severity at a specific TMU was built as a function of various certainty factors of spatial erosion influencing factors. The certainty factor has a value between -1 and +1 and its value indicates the estimated change in belief of allocation of a TMU to a particular erosion class as evidence (from maps, air photos, field observations etc.) is gathered, for each contributing factor. The erosion severity class to which a TMU is finally allocated is the one with overall certainty factor closest to +1. It is proposed as a method of handling uncertain information caused by incompleteness such as inferences established and derived by experts from a set of observations including the effect of causal relationships among various uncertain evidences.

    Performance indicators for the statistical evaluation of digital image classifications
    Urso, G. D'; Menenti, M. - \ 1996
    ISPRS Journal of Photogrammetry and Remote Sensing 51 (1996)2. - ISSN 0924-2716 - p. 78 - 90.
    uitrusting - afbeelden - fotointerpretatie - remote sensing - equipment - imagery - photointerpretation - remote sensing
    A statistical procedure is proposed to evaluate the algorithms for the numerical classification of images. The approach is based on the derivation of performance indicators from measurements of signature separability and thresholding analysis. Although these measurements are not new in image processing techniques, they are used in this study in an original way for the comparison of outputs resulting from different classification criteria. The theoretical description of the method suggested is followed by its practical application to a case-study for mapping crop coefficients in an irrigation district.
    Assessment of the capabilities of multi-temporal ERS-1 SAR data to discriminate between agricultural crops
    Schotten, C.G.J. ; Rooy, W.W.L. van; Jansen, L.L.F. - \ 1995
    International Journal of Remote Sensing 16 (1995)14. - ISSN 0143-1161 - p. 2619 - 2637.
    toepassingen - akkerbouw - uitrusting - veldgewassen - afbeelden - landgebruik - fotointerpretatie - ruimtelijke ordening - remote sensing - zonering - applications - arable farming - equipment - field crops - imagery - land use - photointerpretation - physical planning - remote sensing - zoning
    The capability of ERS-1 SAR precision data to discriminate between crop types for land cover inventory purposes at the earliest stage in the growing season was assessed using a field-based classification. The objectives were tested for an agriculturalregion in the Netherlands, where twelve crop types are found. Fourteen ERS-1 SAR images were available for this area, covering the 1992 growing season (May to November). The field-based classification yielded an overall classification accuracy of 80% with the optimal data set. The stage at which the crop types could be assessed depended on the crop. Cereals could be discriminated in May, potatoes and rape-seed in May and June.
    Integrated processing of remotely sensed and geographic data for land inventory purposes.
    Molenaar, M. ; Janssen, L.L.F. - \ 1992
    EARSeL Advances in Remote Sensing 1 (1992). - ISSN 1017-4613 - p. 113 - 122.
    uitrusting - geografische informatiesystemen - afbeelden - fotointerpretatie - remote sensing - equipment - geographical information systems - imagery - photointerpretation
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