Olivier Debauche

Olivier Debauche
Université de Mons · Department of Computer Science

Doctor of Engineering
Researcher - Entrepreneur SI for Submission: "Internet of Things and Cloud-Fog-Edge Computing" - mdpi.com/si/129171

About

64
Publications
39,615
Reads
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620
Citations
Introduction
Olivier Debauche is currently teaching and research assistant at the Department of Computer Science, University of Mons (Belgium). Olivier is also phD student in co-supervision between the Department of Computer Science of the University of Mons and the TERRA Research Centre, Gembloux Agro-Bio Tech University of Liege (Belgium). Olivier does research in Computer Engineering within projects related to the domain of IoT & Cloud-IoT and more particularly in Smart Farming.
Additional affiliations
September 2016 - present
University of Liège
Position
  • PostDoc Position
Education
September 2016 - June 2022
University of Liège
Field of study
  • Agronomic Science
September 2016 - June 2022
Université de Mons
Field of study
  • Computer Science
September 2013 - September 2016
Université de Mons
Field of study
  • Computer Science and Management

Publications

Publications (64)
Article
Full-text available
The Agriculture 4.0 also called Smart Agriculture or Smart Farming is at the origin of the production of a huge amount of data that must be collected, stored and processed in very short times. Processing this massive quantity of data needs to use specific infrastructure that use adapted IoT architectures. Our review offers a comparative panorama of...
Article
Full-text available
Received: Accepted: Numerous bibliographic reviews related to the use of AI for the behavioral detection of farm animals are existed, but they only focus on a particular type of animal. We believe that some techniques used for some animals could also be used for other types of animals. The application and comparison of these techniques between anim...
Article
Introduction. In the field of research, we are familiar to employ ready-to-use commercial solutions. This bibliographic review highlights the various technological paths that can be used in the context of agriculture digitalization and illuminates the reader on the capacities and limits of each one. Literature. Based on a literature review that we...
Article
Full-text available
The Internet of Things and multimedia devices generate a tremendous amount of data. The transfer of this data to the cloud is a challenging problem because of the congestion at the network level, and therefore processing time could be too long when we use a pure cloud computing strategy. On the other hand, new applications requiring the processing...
Article
Full-text available
Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines, robots, and sensors networks. This data must be processed very quickly, especially for the systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud, and thus mee...
Thesis
This PhD thesis, a collaboration between the Universities of Mons and Liege (Belgium), deals with the conceptualization and development of a versatile distributed cloud architecture for data management in the Smart Farming domain. This architecture is generic enough to be used in other domains. Researchers are pressured by funders to maintain and s...
Article
Full-text available
The recent floods have shown that the classic monitoring systems for water courses are no longer adapted because other phenomena such as the insufficient capacity and/or obstruction of drainage networks, the modification of cultivation practices and rotations, the increase in the size of plots linked to the reparcelling, the urbanization of floodab...
Article
Full-text available
According to statistics provided by Cisco, the Internet of Things market will grow rapidly and will reach 50 billion devices connected to the Internet by 2020. All these connected devices, in smart Home/Building should make life easier, sweeter and more enjoyable. Ideally, each device must work immediately and not require people to try to make them...
Article
Full-text available
Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines , robots and sensors networks. This data must be able to be processed very quickly, especially for systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud and th...
Article
Full-text available
Researchers have extensively used machine learning techniques and data mining methods to build prediction models and classify data in various domains such as aviation, computer science, education, finance, marketing and particularly in medical field where those methods are applied as support systems for diagnosis and analysis in order to make bette...
Article
Full-text available
Each year number of deaths is increasing extremely because of breast cancer. It is the most frequent type of all cancers and the major cause of death in women worldwide. Any development for prediction and diagnosis of cancer disease is capital important for a healthy life. Consequently, high accuracy in cancer prediction is important to update the...
Article
Full-text available
Universities have auditoriums, or amphitheaters, sometimes very large to accommodate many students. They hold numerous lectures and conferences there. In this article we are using a smart home system to intelligently manage and control autonomously each auditorium of the campus. This solution use ESP32 NodeMCU to acquire with sensors several enviro...
Chapter
Fast and efficient collaboration among researchers is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly and securely between research teams. This platform aims to facilitate and encoura...
Chapter
The latest advances of deep learning and particularly convolutional neural networks (CNNs) have proven more than once their high accuracy in disease detection. In this chapter, we propose a new deep learning-based approach for COVID-19 detection from chest X-ray images. The proposed approach applies, in an efficient way, the techniques of transfer...
Conference Paper
Full-text available
Phytotron also called growth chambers are research installations where environmental parameters such as temperature , humidity, irrigation, conductivity, lighting, and CO2 are finely controlled. This kind installation allows on one hand to measure the impact environment modification and on the other hand optimize the natural grow of plants. With th...
Conference Paper
Full-text available
Internet of Things (IoT) is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning IoT technologies is becoming unavoidable in education. In this paper, we propose a demonstrator allowing to learn, using example, which is an essential conce...
Conference Paper
Full-text available
With the advent of the digital age and more specifically videos, a huge amount of data is produced every day such as television archiving, video surveillance, etc. Faced with the need to keep control over this content, to be able to analyze it, classify it and many other applications, the need for algorithms capable of performing this task efficien...
Article
Full-text available
Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serio...
Article
Full-text available
The latest advances in machine learning and in particular with convolutional neurons (CNN) have proven more than once their great accuracy in the detection of diseases. In this paper, we present a new approach for COVID-19 detection from chest X-ray images using Deep Learning algorithms. An efficient process consisting of techniques of transfer lea...
Conference Paper
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers because they are widely used around the world in multiple domains of applications such as animal behavior. iPhone are readily available on the market, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement un...
Article
Full-text available
The sharing of experimental dataset and benchmark between research teams is particularly import for the cross validation of models and algorithms developed. In practice the sharing of data is difficult because certain legislations must be respected protecting privacy, copyrights, etc. In this paper, we propose a scientific collaborative platform to...
Article
Full-text available
In a growing population context with less resources of soil and water, the irrigated agriculture allows us to increase the yield and the production of several crops in order to meet the high requirements of demands of food and fibers. Efficiently, an irrigation system should correctly evaluate the amount of water and also the timing, when apply cer...
Article
Full-text available
Landslides are phenomena widely present around the world and responsible each year of numerous life loss and extensive property damage. Researchers have developed various methodologies to identify area of high susceptibility of landslides. However, these methodologies cannot predict 'when' landslides are going to take place. Indeed, Wireless Sensor...
Conference Paper
Full-text available
Smart Campus can be assimilated to small smart cities in which learning experience and living conditions are improved by smart environment and IoT concepts. In this paper, we present (R)evoCampus our Smart Campus solution based diverted smart Home interoperable protocol platforms, micro controllers ESP32, low-cost sensors. This architecture uses at...
Conference Paper
Full-text available
With climate change, habitat loss, and impoverishment of food sources, several species of bird are are threatened today. It is crucial to conserve the biodiversity in ecosystems but the conservation that requires an improved knowledge of these. In this paper, we propose a connected nest box that make photos of nestling and measures them weight with...
Article
Full-text available
Smart Poultry acquires data from aviaries by means of sensor network at reduced intervals of time (every minute) that generatehundred thousands of data. The conjunction of Internet of Things and Artificial Intelligence open the field of the real-time mon-itoring of poultry, advance analytics and automation if data is from high quality. In this pape...
Article
Full-text available
Artificial intelligence (AI) and Internet of things (IoT) have progressively emerged in all domains of our daily lives. Nowadays, both domains are combined in what is called artificial intelligence of thing (AIoT). With the increase of the amount of data produced by the myriad of connected things and the large wide of data needed to train Artificia...
Article
Full-text available
Climatic chamber are enclosures where the ambient conditions, i.e. the temperature and humidity, are finely controlled. These speakers can play multiple roles such as the cultivation of plants (phytotron), the breeding of insects or habitat for exotic animals. In this paper, we propose a versatile and automated modular climatic enclosure system tha...
Conference Paper
Full-text available
Universities have auditoriums, or amphitheaters, sometimes very large to accommodate many students. They hold numerous lectures and conferences there. In this article we are using a smart home system to intelligently manage and control autonomously each auditorium of the campus. This solution use ESP32 NodeMCU to acquire with sensors several enviro...
Article
Full-text available
Digital Phenotyping is a emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing. The coupling of recent advance of distributed databases and cloud computing offers new possibilities of big data management and data sharing for the scientific research. In this...
Article
Full-text available
Nowadays, we are in the era of advanced technologies where tremendous amount of data is produced by multiple sources such as sensors, devices, social media, user experiences, etc. Furthermore, this raw data has a low value, and major part is not really useful or important for business. One way to give an added value to this stored data is to extrac...
Article
Full-text available
Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users’ movements, but they ca...
Article
Full-text available
The important increase of the elderly population and their desire to conduct an independent life, even when having medical diseases related to their age, requires the development of new technologies to ensure optimal living comfort for this population. In addition, another category of people, those who are patients with life-threatening problems, m...
Article
Full-text available
Les réseaux de capteurs sans fil, l’Internet des objets et l’intelligence artificielle apportent conjointement un appui non négligeable dans la gestion quotidienne des infrastructures agricoles et contribuent à relever les défis de demain liés à la raréfaction des ressources, l’augmentation de la population ainsi que les changements climatiques.
Article
Full-text available
L’analyse comportementale des animaux à l’aide de dispositifs électroniques permet aux éleveurs d’être prévenus lorsqu’un problème survient et de réagir rapidement.
Article
Full-text available
Les abeilles sont des indicateurs de l’état de santé de l’environnement et, plus particulièrement, des insectes pollinisateurs. Ces derniers jouent un rôle crucial dans la production agricole ainsi qu’en arboriculture et leur disparition impactera, à très court terme, l’équilibre des écosystèmes tout en remettant en question nos systèmes de product...
Poster
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A lot of experiments measure LoRa transmission by using a single transceiver and moving it around, revealing the impact of terrain and distance on LoRa transmission. Unlike these previous experiments, this setup plans to measure variations of the transmission of static nodes.
Conference Paper
Full-text available
Internet of things (IoT) is a massively growing industry in todays times. In fact, more and more devices able to interact together have been recently designed and launched in the market. All the objects that we use in our daily lives are becoming smarter. Everybody agrees that the education has been dramatically changed by the internet over the pas...
Poster
Full-text available
LoRaWAN is getting an increasing attention when there is need for low energy consumption and long range transmission. Project 1 describes how LoRaWAN can be used to locate tools on large construction sites by adding mobile base stations and using smart software algorithms. Project 2 describes collects experimental data so that factors influencing a...
Presentation
Full-text available
Article
Full-text available
Smart farming is one of the most diverse researches. In addition, the quantity of data to be stored and the choice of the most efficient algorithms to process are important elements in this field. The storage of collected data from Internet of Things (IoT), existing on distributed, local databases and open data needs particular infrastructure to fe...
Article
Full-text available
The North-Western RIF of Morocco is considered as one of the most mountains zone in the Middle East and North Africa. This area is more serious in the corridor faults region, where the recent reactivation of those tectonic layering may greatly contribute to the triggering of landslides. The consequences of this phenomenon can be enormous property d...
Conference Paper
Full-text available
Irrigation, particularly pivot-center, is widely used around the world to fill the need of crop watering. This method of irrigation has a low efficiency compared to other methods of irrigation such as drip systems and generally they use water without consider the real need of plants. In this paper we propose an automation system based on the Intern...
Conference Paper
Full-text available
Internet of Things is becoming widely present in our daily life. In fact, more and more devices able to interact together have been recently designed and launched in the market. Learning Internet of Things technologies is becoming unavoidable in education. In this paper, we propose a practical approach allowing to progressively learn, by practice t...
Article
Full-text available
The Colony Collapse Disorder (CCD) also entitled ‘Colony Loss’ has a significant impact on the biodiversity, on the pollination of crops and on the profitability. The Internet of Things associated with cloud computing offers possibilities to collect and treat a wide range of data to monitor and follow the health status of the colon. The surveillanc...
Conference Paper
Full-text available
Smartphones, particularly iPhones, can be relevant instruments for researchers widely used around the world in multiple domains of applications such as animal behavior. iPhones are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and a...
Conference Paper
Full-text available
Digital phenotyping presents a very important tool for scientists to measure with high accuracy the effects of external phenomena on plant development. Plant phenotyping is mainly based on imaging techniques. However, the number of images and parameters used to store and treat these parameters are continuously growing. Consequently, the high-throug...
Article
Full-text available
Smartphones, particularly iPhones, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance inertial measurement units (IMU) and absolute positioning systems analyzing users’ movements, but they c...
Article
Full-text available
De nombreux objets connectés commencent à faire leur apparition autour de nous à tel point que l’on en vient à se demander s’il est possible de rendre la lumière connectée et intelligente. Nous connaissons tous la domotique et le contrôle de la lumière à partir de dispositifs télécommandés. Avec les technologies émergentes de l’internet des objets,...
Article
Full-text available
La démocratisation de la technologie de l’Internet des Objets permet aujourd’hui d’envisager des applications pour faciliter la vie quotidienne. Parmi ces applications, nous avons réalisé, dans le cadre du printemps des sciences 2017, une chambre de culture automatisée de plantes aromatiques également appelée phytotron. Dans cette enceinte, les fac...
Poster
Full-text available
Smartphones, particularly Iphones, are equipped with high performance inertial units and absolute positioning systems that are traditionally used to measure user behavior. They are also very relevant instruments for researchers in animal behavior. In this work, a lambda cloud architecture and web services are developed to archive and process high-f...
Article
Full-text available
Description du sujet. L’érosion hydrique est une problématique particulièrement importante, notamment dans la zone méditerranéenne et semi-aride. Cette zone est caractérisée par des régimes pluviométriques irréguliers qui ont une influence considérable sur les pertes en sol. Dans les zones montagneuses, les phénomènes d’érosion hydrique sont accent...
Article
Full-text available
Description of the subject. Water erosion is a particularly important issue, especially in the Mediterranean and semi-arid zone. This zone is characterized by irregular rainfall patterns, which have a considerable influence on soil loss. In mountainous areas, water erosion phenomena are accentuated by steep slopes and low ground cover. The dams dra...
Conference Paper
Full-text available
Mots clé : Barrage, Recharge de la nappe, Modélisation environnementale, Sédimentation, Erosion Résumé Dans le Maghreb, les barrages souffrent régulièrement d'un envasement excessif lié aux problèmes d'érosion présent dans les impluviums situés en amont des barrages. Les origines de cette érosion sont multiples : aménagement du territoire, déforest...
Presentation
Full-text available
Dans le Maghreb, les barrages souffrent régulièrement d’un envasement excessif lié aux problèmes d’érosion présent dans les impluviums situés en amont des barrages. Les origines de cette érosion sont multiples : aménagement du territoire, déforestation, affectation des terres,… L’hydrologie couplée aux systèmes d’informations géographiques permet à...
Poster
Full-text available
Dans le Maghreb, les barrages souffrent régulièrement d’un envasement excessif lié aux problèmes d’érosion présent dans les impluviums situés en amont des barrages. Les origines de cette érosion sont multiples : aménagement du territoire, déforestation, affectation des terres,… Une gestion adéquates des lâchers, couplée à une meilleure gestion de l...
Method
Full-text available
Climwat 2.0 & Cropwat 8.0
Article
Full-text available
This study participates to the quantitative balance of rain water domestic use. It aims towards an optimal design of rain barrels volume, the feasibility of soil infiltration techniques with excess of water and the impact assessment of rain barrel on the decrease of peak flow in a pilot rural watershed of 9 km2, considering the chronology of precip...
Article
Full-text available
Statistics of extremes in poorly gauged basins: application of a lumped rainfall-runoff model in five catchments area in Walloon region (Belgium). The RS-PDM© model generates flows in time series on the basis of observed rainfall after self-calibration which is based on short period of observed rainfall and flow. This is done with daily or hourly d...
Article
Full-text available
The RS-PDM© model generates flows in time series on the basis of observed rainfall after self-calibration which is based on short period of observed rainfall and flow. This is done with daily or hourly data. The study highlights the capacity of the RS-PDM© model to simulate extreme flows in poorly gauged basins in Walloon region on the basis of obs...