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Olivier NAUD
Olivier NAUD
Irstea, ITAP, Montpellier
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Branch-and-price algorithms for the solution of the multi-trip vehicle routing problem with time windows
F Hernandez, D Feillet, R Giroudeau, O Naud
European Journal of Operational Research 249 (2), 551-559, 2016
1412016
Agricultural internet of things and decision support for precision smart farming
A Castrignanò, G Buttafuoco, R Khosla, A Mouazen, D Moshou, O Naud
Academic Press, 2020
962020
A new exact algorithm to solve the multi-trip vehicle routing problem with time windows and limited duration
F Hernandez, D Feillet, R Giroudeau, O Naud
4OR 12 (3), 235-259, 2014
812014
GeoFIS: An open source, decision-support tool for precision agriculture data
C Leroux, H Jones, L Pichon, S Guillaume, J Lamour, J Taylor, O Naud, ...
Agriculture 8 (6), 73, 2018
572018
Field evaluation of an expertise‐based formal decision system for fungicide management of grapevine downy and powdery mildews
L Delière, P Cartolaro, B Léger, O Naud
Pest management science 71 (9), 1247-1257, 2015
372015
Experimenting statecharts for multiple experts knowledge elicitation in agriculture
B Léger, O Naud
Expert Systems with Applications 36 (8), 11296-11303, 2009
352009
An algorithm to automate the filtering and classifying of 2D LiDAR data for site-specific estimations of canopy height and width in vineyards
A Cheraïet, O Naud, M Carra, S Codis, F Lebeau, J Taylor
Biosystems Engineering 200, 450-465, 2020
202020
Close coordination of mobile robots using radio beacons: A new concept aimed at smart spraying in agriculture
T Tourrette, M Deremetz, O Naud, R Lenain, J Laneurit, V De Rudnicki
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
202018
GrapeMilDeWS: a formally designed integrated pest management decision process against grapevine powdery and downy mildews
B Léger, O Naud, V Bellon-Maurel, M Clerjeau, L Delière, P Cartolaro, ...
Decision support systems in agriculture, food and the environment: Trends …, 2010
202010
Dataset of spray deposit distribution in vine canopy for two contrasted performance sprayers during a vegetative cycle associated with crop indicators (LWA and TRV)
S Codis, M Carra, X Delpuech, P Montegano, H Nicot, B Ruelle, ...
Data in Brief 18, 415-421, 2018
182018
Support to decision-making
O Naud, J Taylor, L Colizzi, R Giroudeau, S Guillaume, E Bourreau, ...
Agricultural Internet of Things and Decision Support for Precision Smart …, 2020
162020
Two vegetation indicators from 2D ground Lidar scanner compared for predicting spraying deposits on grapevine
M Bastianelli, V De Rudnicki, S Codis, X Ribeyrolles, O Naud
EFITA 2017, 12 p., 2017
142017
The challenge for precision spraying
B Bonicelli, O Naud, S Rousset, C Sinfort, V De Rudnicki, JM Lescot, ...
AgEng 2010: International Conference on Agricultural Engineering, 11 p., 2010
122010
An expert-based crop protection decision strategy against grapevine’s powdery and downy mildews epidemics: Part 1–formalization
B Léger, P Cartolaro, L Delière, L Delbac, M Clerjeau, O Naud
IOBC/WPRS Bull 36, 145-153, 2008
112008
Spatial analysis and mapping of banana crop properties: issues of the asynchronicity of the banana production and proposition of a statistical method to take it into account
J Lamour, O Naud, M Lechaudel, G Le Moguédec, J Taylor, B Tisseyre
Precision Agriculture 21, 897-921, 2020
102020
Predicting the site-specific distribution of agrochemical spray deposition in vineyards at multiple phenological stages using 2D LiDAR-based primary canopy attributes
A Cheraiet, O Naud, M Carra, S Codis, F Lebeau, J Taylor
Computers and Electronics in Agriculture 189, 106402, 2021
92021
Decomposing the model-checking of mobile robotics actions on a grid
R Saddem, O Naud, KG Dejean, D Crestani
DCDS workshop within IFAC 2017 - 20th IFAC World Congress, July 9-14 …, 2017
82017
Comparative assessment of agro-environmental performance of vineyard sprayers using a physical full scale model of a vineyard row
O Naud, A Verges, O Hebrard, S Codis, JP Douzals, B Ruelle
AgEng 2014, 7 p., 2014
82014
Eco-technologies, éco-concetion, évaluation intégrée
P Roux, JF Patingre, F Giroux, O Naud
Académie d'Agriculture de France, 31 p., 2005
82005
Evaluating the drivers of banana flowering cycle duration using a stochastic model and on farm production data
J Lamour, G Le Moguédec, O Naud, M Lechaudel, J Taylor, B Tisseyre
Precision Agriculture 22 (3), 873-896, 2021
72021
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