[email protected]

Estimate the impact of the agricultural sector on the environment, considering land, water, biodiversity and natural areas requiring protection, such as forests and wetlands.

AgriBigCAT

This application is an online calculator of the impact of animal manure on the environment, in different areas of Catalonia.

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Animal Farms Analysis

Geospatial maps presenting the farms' and animals' density in Catalonia, including contamination of various areas from nitrates.

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Manure Analysis

Maps illustrating the manure produced by the livestock industry at each different municipality of Catalonia.

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AgriCatVIZ

Different visualizations around Catalonia for entities and layers such as water, soil, areas, infrastructures, forests etc.

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Crop Farms Analysis

Geospatial maps showing crop farms, their needs in nitrogen and nitrate emissions.


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CropsBigCAT

This application is an online calculator of the nitrogen needs of crop farms, in different areas of Catalonia.

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GHG Emission Maps

Geospatial maps illustrating the greenhouse emissions produced yearly by the livestock industry, in different municipalities of Catalonia.

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Contaminants Maps

Maps depicting the nitrogen/phosphorous excreted from animal manure yearly, in different municipalities of Catalonia, based on current techniques as well as best practices.

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Manure Management

Best available techniques (BAT) and approaches to achieve effective manure management and reduce the negative impact and contamination on the soils and water.

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The agricultural sector plays a central role in the policies of all countries around the world because of its economic, social and environmental relevance. Because of insufficient accessible arable land, intensive farming has been linked to excessive accumulation of phosphorous, heavy metals, and other soil contaminants, as well as to significant groundwater pollution with nitrate. Deterioration of soil water quality is especially worrying at the bioclimatic Mediterranean area, especially under the current context of climate change. Hence, it is necessary to develop a common body of knowledge, shared at the local and regional levels of the countries involved and affected, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment.

In the P-Sphere [email protected], which started officially in October 2016, we have developed an online software platform that combines geophysical information from various diverse sources and geospatial analysis, together with big data analysis, in order to estimate the impact of the agricultural sector on the environment, considering land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. Based on the European P-Sphere project, this platform intends to promote more sustainable agriculture, by designing and developing an information and knowledge-based platform, using a big data approach for managing and analyzing a wide range of geospatial and mainstream information, which can be accessible by standard communication technologies such as the internet/web and mobile apps. The architecture of the platform is illustrated here:

Our platform stores these datasets using Apache Hive, a (big) database software that facilitates reading, writing, and managing large datasets residing in distributed storage. Visualizations of the datasets as well as geospatial analysis are performed by means of the ArcGIS API for JavaScript, which allows our platform to be developed by using open web technologies (e.g. HTML, CSS, JavaScript, AJAX, PHP), but at the same time use the visualization and geospatial features of ArcGIS through its JavaScript API.

The platform allows data acquisition and analysis of relevant parameters in various agricultural systems, for promoting more precise management and use of inputs (e..g. energy, nutrients and water) and outputs (e.g. emissions, biomass yield, etc.). This platform can also be used for the simulation of nutrient balances under different scenarios, in order to assist both the farmers' decision-taking processes and the administration planning and policy making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact.

We have primarily focused in the area of Catalonia (Spain) motivated by the fact that it is one of the European regions with the highest livestock density, with farm concentrations of more than 6M pigs, 0.7M cows and 38M poultry. The high density of livestock in some areas, linked to the insufficient accessible arable land, has resulted in severe groundwater pollution with nitrate. Excessive soil accumulation of phosphorous and heavy metals from manure has also been reported in certain areas.











Andreas Kamilaris

Expertise in: Web technologies, big data analysis, GIS, Internet of Things, Web of Things.

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Francesc Prenafeta

Expertise in: Environmental biotechnology, anaerobic digestion, biological treatment of contaminated gases.

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Assumpcio Anton

Expertise in: Life Cycle Assessment (LCA), environmental impact assessment.

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August Bonmati

Expertise in: Wastewater treatment, anaerobic digestion, solid waste management.

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Marta Torrellas

Expertise in: Life Cycle Assessment (LCA), environmental impact assessment.

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Nancy Peña

Expertise in: Life Cycle Assessment (LCA), environmental impact assessment.

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Andreas Kamilaris, Anton Assumpcio, August Bonmati Blasi and Francesc X. Prenafeta-Boldú. Assessing and Mitigating the Impact of Livestock Agriculture on the Environment through Geospatial and Big Data Analysis. In International Journal of Sustainable Agricultural Management and Informatics, September 2018. [In Print, doi: 10.1504/IJSAMI.2018.10011692]
Andreas Kamilaris and Francesc X. Prenafeta-Boldú. A review of the use of convolutional neural networks in agriculture. Journal of Agricultural Science, vol. 1, no. 1, pp. 1-11, June, 2018. (.bib | .pdf)
Andreas Kamilaris and Francesc X. Prenafeta-Boldú. Deep learning in agriculture: A survey. In Computers and Electronics in Agriculture International Journal, vol. 147, no. 1, pp. 70–90, April, 2018. (.bib | .pdf)
Andreas Kamilaris and Francesc X. Prenafeta-Boldú. Mapping the Collaborative Economy Landscape and its Relationship with Information and Communication Technologies. Book Chapter at "The Rise of the Sharing Economy: Exploring the Challenges and Opportunities of Collaborative Consumption", ABC-CLIO, Pia A. Albinsson and B. Yasanthi Perera (Editors), January 2018. (.bib | .pdf)
Nancy Peña, Assumpció Antón, Andreas Kamilaris and Peter Fantke. Modeling ecotoxicity impacts in vineyard production: Addressing spatial differentiation for copper fungicides. In Science of The Total Environment Journal, vol. 616–617, no. 1, pp. 796-804, March 2018. (.bib | .pdf)
Andreas Kamilaris, Francesc X. Prenafeta-Boldú and Andreas Kartakoullis. A Review on the Practice of Big Data Analysis in Agriculture. In Computers and Electronics in Agriculture International Journal, vol. 143, no. 1, pp. 23-37, December, 2017. (.bib | .pdf)
Andreas Kamilaris, Anton Assumpcio, August Bonmati Blasi, Marta Torrellas and Francesc X. Prenafeta-Boldú. Estimating the Environmental Impact of Agriculture by means of Geospatial and Big Data Analysis: The Case of Catalonia. In Proc. of EnviroInfo, Luxembourg, September 2017. (.bib | .pdf | Presentation))
Andreas Kamilaris and Francesc X. Prenafeta-Boldú. Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning. In the Disaster Management for Resilience and Public Safety Workshop, in Proc. of EnviroInfo, Luxembourg, September 2017. (.bib | .pdf | Presentation)
Andreas Kamilaris, Anton Assumpcio, August Bonmati Blasi and Francesc X. Prenafeta-Boldú. AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agriculture on the Environment. In Proc. of EFITA WCCA Congress, Montpellier, France, July 2017. (.bib | .pdf | Presentation)
Andreas Kamilaris, Andreas Pitsillides, Francesc X. Prenafeta-Boldú and Muhammad Intizar Ali. A Web of Things Based Eco-System for Urban Computing - Towards Smarter Cities. In Proc. of the 24th International Conference on Telecommunications (ICT), Limassol, Cyprus, May 2017. (.bib | .pdf | Presentation)
Andreas Kamilaris, Feng Gao, Francesc X. Prenafeta-Boldú and Muhammad Intizar Ali. Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications. In Proc. of the IEEE World Forum on Internet of Things (WF-IoT), Reston, VA, USA, December 2016. (.bib | .pdf | Presentation)