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Featured researches published by David Ooms.


Computers and Electronics in Agriculture | 2002

Measurements of the horizontal sprayer boom movements by sensor data fusion

David Ooms; Frédéric Lebeau; R. Ruter; Marie-France Destain

A study investigated the horizontal movements of trailed sprayer booms with the aim of distinguishing their yaw and jolt motions as well as their deformations. Two vehicles were equipped with a radar speed sensor and a three-axis dynamic measurement unit, while each boom was instrumented with ultrasonic sensors and accelerometers. Sensor fusion was used to extract yaw, jolt and deformation speeds by assuming that the motion of any point of the boom is equal to the superimposition of complementary high and low-frequency motions, delimited by a cut-off frequency, estimated on the basis of laboratory trials. Tests performed on trailed sprayers equipped with 22 and 24 m boom lengths, on different soils, indicated that yaw, jolting and deformation, respectively, occurred near 0.3, 2 and 1 Hz. Velocity variations relative to the forward speed of the vehicle were lower than 0.57 m/s and were reached at a speed of 3.5 m/s (12.7 km/h). Ground deposit, roughly estimated as proportional to the inverse of the speed, exhibited coefficients of variation between 4 and 6% for all tests.


Crop Protection | 2003

Impact of the horizontal movements of a sprayer boom on the longitudinal spray distribution in field conditions

David Ooms; R. Ruter; Frédéric Lebeau; Marie-France Destain

Abstract The influence of horizontal sprayer boom movements on the longitudinal distribution of the sprayed product was investigated in field and laboratory conditions. The boom movements of a sprayer were measured in the field using a specially designed measurement chain, and the resulting ground distribution was estimated by spraying a dye (Nigrosine) on large sheets of wallpaper and using image analysis to compute the spray coverage. The horizontal movements, identical to those measured in the field, were applied to a laboratory boom part moving on horizontal rails, in the absence of wind. For the three tested situations, the longitudinal coefficients of variation (CV) of the spray coverage were very close in the field (8.81%, 6.9%, 10.9%) and in the laboratory (9.17%, 8.17%, 10.96%). This indicates that horizontal movements were the main source of spray deposit variations, even if other factors such as vertical movements or wind may have an influence. The mean ratio RCV between the CV of the horizontal movements and the spray coverage was estimated. In addition, the amplitude of the boom movements was investigated in a large range of situations (five different sprayers, three different crops). On basis of the measured movements and the computed RCV, the variability of the longitudinal spray distribution due to horizontal movements was estimated at between 3.5% and 5.2%.


Pattern Recognition Letters | 2010

A sorting optimization curve with quality and yield requirements

David Ooms; Rodolphe Palm; Vincent Leemans; Marie-France Destain

Binary classifiers used for sorting can be compared and optimized using receiver-operating characteristic (ROC) curves which describe the trade-off between the false positive rate and true positive rate of the classifiers. This approach is well suited for the diagnosis of human diseases where individual costs of misclassification are of great concern. While it can be applied to the sorting of merchandise or other materials, the variables described by the ROC curve and its existing alternatives are less relevant for that range of applications and another approach is needed. In this paper, quality and yield factors are introduced into a sorting optimization curve (SOC) for the choice of the operating point of the classifier, associated with the prediction of output quantity and quality. Given examples are the sorting of seeds and apples with specific requirements. In both cases the operating point of the classifier is easily chosen on the SOC, while the output characteristics of the sorted product are accurately predicted.


Biosystems Engineering | 2011

Evaluation of chicory seeds maturity by chlorophyll fluorescence imaging

David Ooms; Marie-France Destain


Archive | 2012

Texture, Color and Frequential Proxy-Detection Image Processing for Crop Characterization in a Context of Precision Agriculture

Frédéric Cointault; Ludovic Journaux; Gilles Rabatel; Christian Germain; David Ooms; Marie-France Destain; Nathalie Gorretta; Gilbert Grenier; Olivier Lavialle; Ambroise Marin


Biotechnologie, Agronomie, Société et Environnement | 2010

Étude des potentialités de la vision artificielle pour la reconnaissance optique des semences immatures de chicorée industrielle (Cichorium intybus L.)

David Ooms; Marie-France Destain


Biofutur | 2010

La fluorescence chlorophyllienne au service des productions végétales

Murielle Eyletters; David Ooms; Marie-France Destain


Archive | 2012

Amélioration du tri de semences de chicorée industrielle (Cichorium intybus L.) sur base d’attributs mesurés par vision artificielle

David Ooms


Archive | 2011

Volatile organic compounds of the barley rhizosphere and their roles in biotic interactions with plant growth- promoting bacteria, phytopathogens and insect pests

Marie Fiers; Fanny Barsics; Marc Camerman; Pierre Delaplace; Nicolas De La Valle Poussin; Marie-France Destain; Patrick du Jardin; Aurélie Gfeller; Eric Haubruge; Laura Hirtt; Djamel Edine Kati; Ludivine Lassois; Philippe Lepoivre; Georges Lognay; David Ooms; François Verheggen; Jean-Paul Wathelet; Marie-Laure Fauconnier


Biofutur | 2010

Chlorophyll fluorescence in the service of plant production.

Murielle Eyletters; David Ooms; Marie-France Destain

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Murielle Eyletters

Université libre de Bruxelles

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