References of "Wellens, Joost"
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See detailCiné-débat: Merci pour la pluie
Wellens, Joost ULiege

Conference given outside the academic context (2017)

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See detailCrowdsourcing for agricultural applications: A review of uses and opportunities for a farmsourcing approach
Minet, Julien ULiege; Curnel, Yannick; Gobin, Anne et al

in Computers & Electronics in Agriculture (2017), 142, Part A

Abstract Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper ... [more ▼]

Abstract Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper, we reviewed crowdsourcing initiatives in agricultural science and farming activities and further discussed the particular characteristics of this approach in the field of agriculture. On-going crowdsourcing initiatives in agriculture were analysed and categorised according to their crowdsourcing component. We identified eight types of agricultural data and information that can be generated from crowdsourcing initiatives. Subsequently we described existing methods of quality control of the crowdsourced data. We analysed the profiles of potential contributors in crowdsourcing initiatives in agriculture, suggested ways for increasing farmers’ participation, and discussed the on-going initiatives in the light of their target beneficiaries. While crowdsourcing is reported to be an efficient way of collecting observations relevant to environmental monitoring and contributing to science in general, we pointed out that crowdsourcing applications in agriculture may be hampered by privacy issues and other barriers to participation. Close connections with the farming sector, including extension services and farm advisory companies, could leverage the potential of crowdsourcing for both agricultural research and farming applications. This paper coins the term of farmsourcing as a professional crowdsourcing strategy in farming activities and provides a source of recommendations and inspirations for future collaborative actions in agricultural crowdsourcing. [less ▲]

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See detailAssessment of AquaCrop for winter wheat using satellite derived fCover data
Mohamed Sallah, Abdoul-Hamid ULiege; Wellens, Joost ULiege; Tychon, Bernard ULiege et al

in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (2017, June 29)

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See detailPotato monitoring in Belgium with "watchITgrow"
Piccard, Isabelle; Gobin, Anne; Wellens, Joost ULiege et al

in 19th International Workshop on the Analysis of Multitemporal Remote Sensing Images (2017, June 29)

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See detailLa gestion de l'eau dans les pays en développement ou GIRE: passé, présent et future
Wellens, Joost ULiege

Conference (2017, March 29)

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See detailOn the use of decision-support tools for improved irrigation management: AquaCrop-based applications
Wellens, Joost ULiege; Raes, Dirk; Tychon, Bernard ULiege

in Elshorbagy, Amin; Kulshreshtha, Suren (Eds.) Current perspectives on irrigation and drainage (2017)

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See detailLes champs sous l’œil des satellites
Stassart, Camille; Wellens, Joost ULiege

Article for general public (2017)

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See detailSatellites à l'appui d'outils d'aide à la décision dans l'agriculture: applications passées et futures
Wellens, Joost ULiege

Conference given outside the academic context (2016)

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See detailIntroduction à AquaCrop: élaboration de calendriers d'irrigation
Wellens, Joost ULiege

Scientific conference (2016, October)

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See detailProjet BELCAM: télédétection des besoins et rendements des cultures
Wellens, Joost ULiege

Speech/Talk (2016)

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See detailiPot: Improved potato monitoring in Belgium using remote sensing and crop growth modelling
Piccard, Isabelle; Gobin, Anne; Curnel, Yannick et al

Poster (2016, April)

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See detailRegarder les champs pousser depuis le ciel
Wellens, Joost ULiege

Diverse speeche and writing (2016)

Pourrait-on améliorer le rendement des champs en les analysant par satellite ? Joost Wellens, chercheur au Campus Environnement d'Arlon, travaille à des simulations pouvant couvrir des centaines, voire ... [more ▼]

Pourrait-on améliorer le rendement des champs en les analysant par satellite ? Joost Wellens, chercheur au Campus Environnement d'Arlon, travaille à des simulations pouvant couvrir des centaines, voire des milliers, de parcelles. [less ▲]

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See detailIrrigation Development Support Program - Agricultural water management in Burkina Faso
Traoré, Farid; Wellens, Joost ULiege; Tychon, Bernard ULiege et al

Poster (2015, October)

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See detailiPot: Industrial Potato monitoring for the Belgian potato sector using remote sensing and crop growth modelling
Wellens, Joost ULiege

in Qu, Dongyu (Ed.) Develop Together for a Better Future (2015 Beijing World Potato Congress) (2015, July)

The Belgian potato processing industry has known a spectacular growth during the last decades. The companies active in this sector (most of them family owned enterprises) have succeeded – together with ... [more ▼]

The Belgian potato processing industry has known a spectacular growth during the last decades. The companies active in this sector (most of them family owned enterprises) have succeeded – together with primary producers and traders – to grow from 500.000 tons of processed potatoes in 1990 till 3.650.000 tons of raw material in 2012. When considering the production (in tons) per habitant, Belgium is ranked on the 4th place with a production of 395 tons per 1.000 inhabitants. Nowhere in the world are higher yields obtained than in Belgium. To keep up its position on the forefront of innovation, the potato processing industries are continuously looking at promising novel technologies that could improve business processes at any stage of growth. The close follow up of parcels on the land as form above is becoming an important tool to improve the quantity and the quality of the potato crop, and reduce the risks in order to plan the storage, packaging or processing and as such to strengthen the competiveness of the Belgian potato in a global market. The iPot project, financed by the Belgian Science Policy Office (BELSPO), aims to provide the Belgian potato sector, represented by Belgapom, with near real time information on field condition (weather-soil) and crop development, and with early yield estimates, derived from a combination of satellite images and crop growth models. Satellite images are used since long for crop monitoring at regional level by the public sector. Traditionally, low to medium resolution images, with pixel sizes from 250m to 1km are used for providing information on crop growth and development, and on yield at regional scale. However, the recent launch of constellations of high resolution optical sensors (DMC, Sentinel-2) offering spatially detailed information (20m pixel size) at high frequency (every 2 to 3 days) and at low cost, is creating a (r)evolution in the world of crop monitoring. Automatic processing chains have been developed to derive vegetation indices (NDVI) and biophysical parameters (fAPAR, LAI, fCover). Maps are being derived on a regular basis with for each pixel the actual development stage of the potato crop. This on-line scanning of the growth (phenology) is expected to result in an increased performance of crop growth models and better yield predictions. Once the data for crop phenology are incorporated into the model (B-CGMS), the yield data collected at the parcel level will be assimilated into the model using optimization algorithms to minimize the discrepancies between observed and simulated yield time series in order to improve further yield estimations. The combination of these new earth observation and modelling techniques arose the interest of a new type of users, mainly from the private sector (agro-industry, agricultural insurers, etc.). The iPot project aims to bridge the gap between the latest research efforts regarding crop growth monitoring and the industry. An intuitive web based geo-information platform is being developed to allow both the Belgian potato industry and research centers to access, analyze and combine the data with their own field observations in closed collaboration with the farmers, for improved decision-making. [less ▲]

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See detailRegional crop and irrigation monitoring: some examples of (new) opportunities
Wellens, Joost ULiege

in Begian workshop: Space4Food (2015, June 11)

Satellite images are used since long for agricultural monitoring at different spatial scales: from continental, national to regional and even field level. Combined with agro-meteorological data and ... [more ▼]

Satellite images are used since long for agricultural monitoring at different spatial scales: from continental, national to regional and even field level. Combined with agro-meteorological data and simulation models they constitute powerful decision support tools for agriculture throughout the world. Some examples at different scales and domains are presented. In Burkina Faso, free MODIS time series of coarse resolution vegetation indices (NDVI), phenological and meteorological data are combined in a multiple regression analysis for early yield warning in the cotton industry. Using a limited amount of data, it allows a decent yield forecasting more than a month before harvest. Time series of ERS radar images are analysed to monitor water intakes on the irrigated perimeter of Tadla (Morocco). The back-scatter intensity gives a clear indication of the top soil moisture state, permitting irrigation managers a regional monitoring of the irrigation water distribution and a guidance in the water allocation pricing. Actually in Belgium, and soon to be exported elsewhere, very-high resolution imagery (SPOT-5 Take5) are used to observe crop canopy development (fAPAR, fCover) on field level. Either by curve-fitting functions or assimilating these satellite derived data in existing crop growth models, improved and spatially more detailed forecasting systems are being developed. Although mostly still in the domain of applied research, the new availability of high spatial and temporal resolution imageries such those that will provide the Sentinel satellites paves the way to a growing number of operational end users. [less ▲]

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See detailThe iPot Project: improved potato monitoring in Belgium using remote sensing and crop growth modelling
Piccard, I.; Nackaerts, K.; Gobin, A. et al

Poster (2015, April)

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See detailunité: Eau-Environnement-Développement (ULg Campus Arlon): la télédétection au service de l'agriculture
Wellens, Joost ULiege; Lang, Marie ULiege; Benabdelouahab, Tarik et al

Diverse speeche and writing (2015)

Detailed reference viewed: 137 (19 ULiège)