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International audience; Small and medium-sized enterprises (SMEs) in Europe are conscious that their competitive position depends on their success to embrace digitalization challenges. However, some decision-makers in companies discard digital transformation because they do not understand how it can be incorporated into their businesses. Therefore, academia, research centres, and technological clusters are responsible for building the infrastructures and providing the support and the training that will progressively change this mindset. This paper aims to report an experience on designing a training program to train the trainers under the digital transformation topic. To define strategies to understand better the companies (and professionals) needs and motivations and the requisites to deliver the training course, the focus group methodology was applied. In this paper, we present a training program methodology and structure that intend to respond to industrial requests and, in this way to accelerate the digital transformation of companies, especially SMEs.

International audience; Forest monitoring is a major issue to carry out energetic and environmental policies. Actual context in spaceborne remote sensing data is very promising. Our study aims to test the ability of SAR, optical and textural data to estimate forest parameters (biomass, height, diameter and density), and to evaluate the improvement of combining these remote sensing data. We worked on monospecific pine forest stands. The first results highlighted the synergy between SAR and spatial texture informations. Sentinel-1 C-band SAR data is very promising for the estimation of forest parameters in monospecifics stands. Biomass was estimated with 29.4% relative error (20.7 tons/ha) and height with 14.6% (2.1m) combining four SAR and optical sensors.

International audience

All organic agricultural systems suffer from a lack of plant cultivars adapted to organic production. Within the framework of the European project SOLIBAM (Strategies for Organic and Low Input Breeding and Management) a study was undertaken to determine which cultivars farmers grow, why they grow them, and the expectations in plant breeding of organic stakeholders. A comprehensive range of investigations carried out between 2010 and 2012 provided information on the state of organic seed in France. Results fit with the hypothesis that the market is a significant factor influencing the choice of seeds and cultivars (local cultivars, landraces, modern cultivars). Expectations and practices of producers selling on a local market (i.e., direct sale) differ radically from those of producers selling to long food supply chains. This study shows that the availability and use of organic seeds have significantly improved over the last three years. A vast majority of organic producers willingly use organic seeds, with, on average, 45-70% (cereals) and 75%-100% (vegetables) of organic seeds being planted on farms. However, the total number of derogations remains quite high: there is still space for improvement in organic seed use and supply in France. Several limiting factors and levers were identified during the study, as well as farmers' expectations for the future on horticultural crops. The case study on tomatoes states the differences between producers selling on a local market and those of producers selling in long food supply chains regarding their practices (open field vs greenhouses) and the kind of cultivar they use or wish to have.

Due to their deployment flexibility, Unmanned Aerial Vehicles have been found suitable for many application areas, one of them being air pollution monitoring. In fact, deploying a fleet of Unmanned Aerial Vehicles (UAVs) and using them to take environmental samples is an approach that has the potential to become one of the key enabling technologies to enforce pollution control in industrial or rural areas. In this paper, we propose to use an algorithm called Pollution-driven UAV Control (PdUC) that is based on a chemotaxis metaheuristic and a Particle Swarm Optimization (PSO) scheme that only uses local information. Our approach will be used by a monitoring Unmanned Aerial Vehicle to swiftly cover an area and map the distribution of its aerial pollution. We show that, when using PdUC, an implicit priority is applied in the construction of pollution maps, by focusing on areas where the pollutants' concentration is higher. In this way, accurate maps can be constructed in a faster manner when compared to other strategies. We compare PdUC against various standard mobility models through simulation, showing that our protocol achieves better performances, by finding the most polluted areas with more accuracy, within the time bounds defined by the UAV flight time.

Forest stands are a basic unit of analysis for forest inventory and mapping. Stands are defined as large forested areas of homogeneous tree species composition and age. Their accurate delineation is usually performed by human operators through visual analysis of very high resolution (VHR) infra-red and visible images. This task is tedious, highly time consuming, and needs to be automated for scalability and efficient updating purposes. The most appropriate fusion of two remote sensing modalities (lidar and multispectral images) is investigated here. The multispectral images give information about the tree species while 3D lidar point clouds provide geometric information. The fusion is operated at three different levels within a semantic segmentation workflow: over-segmentation, classification, and regularization. Results show that over-segmentation can be performed either on lidar or optical images without performance loss or gain, whereas fusion is mandatory for efficient semantic segmentation. Eventually, the fusion strategy dictates the composition and nature of the forest stands, assessing the high versatility of our approach.

International audience; This paper sets out the methods and the technologies used to design a captive portal to redirect users to the URL (Uniform Resource Locator) of a course taking place in a given room. The captive portal is designed on a Raspberry Pi 2 carrying an Apache HTTP (HyperText Transfer Protocol) server and using iptables for redirections. It has a web configuration interface, developed with AngularJS, which communicates through HTTP request to the server side, developed in PHP, following the principle of a REST (REpresentational State Transfer) architecture. In addition to redirect users to the URL of a course, the interface is configurable in two modes: 1) fixed URL that sets an URL to which the user is redirected automatically, 2) hosting a local website which is used to load a web site in zip format on the device and then redirect users to this web site even when the device is not connected to any Ethernet network.

International audience; Marvejols is a small town located in Lozère (France). Traditionally, the region was poor with an agricultural oriented economy. However, by the 1960s a new type of business was launched: the residential care facilities for disabled people, especially in relation to Jacques Blanc, a key person in the organization and development of this business. This economic activity brought jobs and new attractiveness, counterbalancing decline in traditional sectors. Nevertheless, currently, situation is less favourable, and the local players try to find out a new strategy, particularly in relation to diversification. In this study, our main aim was to understand conditions of starting and growing of this business. Moreover, we would like to understand current fragilities and attempts to adapt the economy of the territory. In this way, our students and we have chosen this area in relation to the economic and historical weight of its activity. The organization of field trips and survey was conducted in a comprehensive approach perspective. Therefore, we took account parameters working in this territory, such as strategies, psychologies (individual and collective), networks and identities. Human dimensions are strong, especially in discourses, and our main result is a better understanding of the local situation, with comparisons to close cases (Corrèze, Creuse). Furthermore, the quality of the geographical analysis provides working relations with the stakeholders

International audience; Protected cultivation or Controlled Environment Agriculture (CEA) system has increased tenfold in the last 25 years thanks to tremendous scientific and technical breakthroughs, mainly directed to increasing crop yields and adapting to tough ambient conditions. Currently, greenhouse areas are still spreading and the CEA system is one of the keystones for the agriculture forecasting scenario. However, the environmental acceptability of this very intensive agro-ecosystem is now being questioned. Energy inputs are source of the main economic and environmental weakness, especially for high-tech greenhouses, where IPM is well-established. Pesticides, common in low-cost greenhouses systems, are a major barrier-to IPM. To design and manage more robust CEA systems, both technological and ecological approaches have been chosen. This allowed for increased consideration of IPM issues among global greenhouse engineering innovation and better use of greenhouse system capacities to enhance dedicated IPM high-tech tools and management practices. On the other hand, ecological concepts were used to determine and characterize complex biotic interactions that lead to question the tenant of biological control as soon as IPM is implemented in greenhouses with sub-optimum physical pest control means. More specifically, microclimate at the boundary layer level has been investigated both from a physical and biological point of view in order to determine the best climate preferences of the main pests and beneficials. By the same token, the efficiency of diverse biocontrol plants to provide accurate shelter to natural enemies has been assessed

International audience; We analyse the flux density variation associated to low frequency (LF) broadcasting transmitters observed by the ICE electric field experiment onboard DEMETER micro-satellite, observed from 01st Jan. to 09th Dec. 2010. We select five stations localised around the Mediterranean and the Black seas: Tipaza (252 kHz, 02°28’E, 36°33’N, Algeria), Roumoules (216 kHz, 06°08’E, 43°47’N, Monte Carlo), Polatli (180 kHz, 32°25’E, 39°45’N, Turkey), Nadour (171 kHz, 02°55’W, 35°02’N, Morocco) and Brasov (153 kHz, 25°36’E,45°40’, Romania). The detection of the LF transmitter signals by DEMETER micro-satellite is found to depend on the radiated power, the emitted frequency, and the orbit paths with regard to the location of the stations. This leads us to characterise the reception condition of the LF signals and to define time intervals where the detection probability is high. We show that LF signal are regularly recorded, each 12 days, when the satellite is above the broadcasting station. The signal intensity levels are principally significant during the solar activity. Hence we find that the solar and the geomagnetic activities are slightly correlated to the maxima of LF signal as recorded by DEMETER. Also we note a drop of the intensity level several days before the occurrence of earthquakes in/around the Mediterranean and Black seas.