T. Tscharntke, A. M. Klein, A. Kruess, I. Steffan-dewenter, and C. Thies, Landscape perspectives on agricultural intensification and biodiversity ?????? ecosystem service management, Ecology Letters, vol.306, issue.8, pp.857-874, 2005.
DOI : 10.1017/CBO9780511542077.015

H. Skokanová, M. Havlí?ek, P. Unar, D. Janík, and K. ?ime?ek, L.) Habitats and Implications for the Species Presence in SE Moravia, Czech Republic, Polish Journal of Ecology, vol.64, issue.1, pp.98-112, 2016.
DOI : 10.3161/15052249PJE2016.64.1.009

D. Tilman, K. G. Cassman, P. A. Matson, R. Naylor, and S. Polasky, Agricultural sustainability and intensive production practices, Nature, vol.1, issue.6898, pp.671-677, 1014.
DOI : 10.1016/0305-750X(95)00162-6

K. G. Cassman, Ecological intensification of cereal production systems: Yield potential, soil quality, and precision agriculture, Proceedings of the National Academy of Sciences USA, pp.5952-5959, 1999.
DOI : 10.1007/BF01063289

A. Kassam and T. Firedrich, Conservation agriculture: global perspectives and developments, Proceedings of Regional conservation agriculture symposium, 2011.

T. Reznik, K. Charvat, K. Charvat, S. Horakova, V. Lukas et al., Open Data Model for (Precision) Agriculture Applications and Agricultural Pollution Monitoring, Proceedings of EnviroInfo and ICT for Sustainability 2015, pp.97-107, 2015.
DOI : 10.2991/ict4s-env-15.2015.12

R. Palma, T. Reznik, M. Esbri, K. Charvat, and C. Mazurek, An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data, Ontology Engineering -Lecture Notes in Computer Science, vol.9557, pp.124-133, 2016.
DOI : 10.1007/978-3-319-33245-1_13

H. Skokanova, Abstract, Moravian Geographical Reports, vol.21, issue.4, pp.2-14, 2013.
DOI : 10.2478/mgr-2013-0016

T. Reznik, Geographic information in the age of the INSPIRE Directive: discovery, download and use for geographical research, Geografie, vol.118, pp.77-93, 2013.

T. Reznik, R. Chudy, and E. Micietova, Normalized evaluation of the performance, capacity and availability of catalogue services: a pilot study based on INfrastruture for SPatial InfoRmation in Europe, International Journal of Digital Earth, vol.118, issue.1, pp.325-341, 2016.
DOI : 10.1023/A:1018677900982

, :2017 Information and documentation --The Dublin Core metadata element set --Part 1: Core elements. International Organization for Standardization 12, Geographic information --Metadata. International Organization for Stand- ardization, 2003.

, ISO 19119:2016 Geographic information --Services. International Organization for Stand- ardization

I. Ts, Geographic information --Metadata --XML schema implementation, International Organization for Standardization, 2007.

D. Nebert, A. Whiteside, and P. Vretaonos, OpenGIS Catalogue Services Specification ? version 2.0.2. http://portal.opengeospatial.org/files/?artifact_id=20555 16. DCAT application profile for data portals in Europe

, Creative Commons Attribution/ShareAlike 4.0 International

, https://opendatacommons.org/li- censes/odbl 19. GitHub. https://github.com/ 20. FOODIE Data Model License. https://github, Open Data Commons Open Database License (ODbL) Linked Data, 2006.

J. Beaujardiere, OpenGIS Web Map Server Implementation Specification

P. A. Vretanos, OpenGIS Web Feature Service 2.0 Interface Standard, p.39967

P. Schut and A. Whiteside, OpenGIS Web Processing Service Implementation Specification

K. Senkler and U. Voges, OpenGIS Catalogue Service Specification ? ISO Metadata Application Profile

R. ?-resource-description and . Format, https://www.w3.org/RDF/ 27. SPARQL Query Language for RDF

L. T. Evans and R. A. Fischer, Yield Potential, Crop Science, vol.39, issue.6, pp.1544-1551, 1999.
DOI : 10.2135/cropsci1999.3961544x

J. Kleinjan, D. E. Clyde, C. G. Carlson, and S. A. Clay, Developing Productivity Zones from Multiple Years of Yield Monitor Data, GIS applications in agriculture, pp.65-70, 2007.
DOI : 10.1201/9781420007718.ch4

, https://www.usgs.gov/news/usgs-ups-ease-use- landsat-data 31. Measuring vegetation (NDVI&EVI). https://earthobservatory.nasa.gov/Features/Measur- ingVegetation/measuring_vegetation_2

P. Kubicek, J. Kozel, R. Stampach, and V. Lukas, Prototyping the visualization of geographic and sensor data for agriculture. Computers and Electronics in Agriculture, pp.83-91, 2013.

K. Feiden, F. Kruse, T. Reznik, P. Kubicek, H. Schentz et al., Best Practice Network GS SOIL Promoting Access to European, Interoperable and INSPIRE Compliant Soil Information, Environmental Software Systems: Frameworks for E-Environment -IFIP Advances in Information and Communication Technology, pp.226-234, 2011.
DOI : 10.1007/978-3-642-22285-6_25
URL : https://hal.archives-ouvertes.fr/hal-01569202

, ISO 19156:2011 Geographic information --Observations and measurements, International Organization for Standardization, 2011.

, CAN bus. https://www.kth.se/social/upload/526eab8ef2765479ddbd9131/CAN 36. ISO 11783 (parts 1 to 14). Tractors and machinery for agriculture and forestry --Serial control and communications data network

J. Tervonen, K. Mikhaylov, S. Pieskä, J. Jämsä, and M. Heikkilä, Cognitive Internet-of-Things solutions enabled by wireless sensor and actuator networks, 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), pp.97-102, 2014.
DOI : 10.1109/CogInfoCom.2014.7020426

, Industrial Internet Consortium