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THE STRUCTURAL MODEL OF THE SMART FARM TO IMPROVE ENVIRONMENTAL PROTECTION

Sebastian Muraru

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.1/s20.126View metrics

Abstract

The paper presents a structural model of the smart farm to improve environmental protection. This model is based on a digital platform that integrates all the elements that participate directly or indirectly in decision-making into agricultural farm.Retour ligne automatique An intelligent farm must manage optimally and efficiently in the spirit of sustainable agriculture and environmental protection the following components: agricultural lands, farm energy balance, inputs and outputs in accordance with the applicable regulations and environmental protection.Retour ligne automatique Thus, this ensures mainly:Retour ligne manuel - The optimal structure of agricultural crops and efficient rotation of these crops;Retour ligne manuel - The optimized map of application of general inputs (chemical and natural fertilizers, etc.)Retour ligne manuel - Optimization of the usage of the energy sources: tractor, electric power, photovoltaic energy, wind energy and other kind of renewal energy;Retour ligne manuel - Optimization of the machinery (installed power, performant types, costs);Retour ligne manuel - Optimization of the energy type, depending on activities, operations, etc.;Retour ligne manuel - Energy efficiency through the use of combined resources;Retour ligne manuel - Optimization of technologies;Retour ligne manuel - Optimization of cost-benefit;Retour ligne manuel - Framing into environmental norms;Retour ligne manuel - Social responsibility.Retour ligne automatique The informational elements and equipment are presented together with the sensors involved in development of an informational framework. Developing on a digital platform will be able to contribute to making decision and increasing the agricultural yield and environmental protection.Retour ligne automatique At the same time, the platform can be a means of command and control of all components and equipment used in a farm. A special attention will be given to the next databases that can be as follows:Retour ligne manuel - Traceability GIS databases: maps with the historic of cultures location, maps with the historic of agriculture yields; maps with the historic of nutrients and phytosanitary treatments distribution;Retour ligne manuel - GIS databases with exploitations: yields maps; soil properties maps; maps with needed irrigations; maps and files for command and control of nutrients distribution and phytosanitary treatments using adequate equipment.

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Publication details

Title
THE STRUCTURAL MODEL OF THE SMART FARM TO IMPROVE ENVIRONMENTAL PROTECTION
Authors
Sebastian Muraru
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
979-986
SWS Citekey
Muraru201820979986
ISSN
1314-2704
ISBN
978-619-7408-46-1
Language
en
Publication type
Conference Paper
Keywords
References5
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  2. Rashmi S.S., Yiqiao.W., Seung-Hoon H., A survey on LPWA technology: LoRa and NB-IoT, ICT Express, Korea, Vol. 3 / Issue 1, pp 14-21, 2017;

  3. Luck J.D., Pitla S.K., Shearer S.A., Mueller T.G., Dillon C.R., Fultond J.P., Higgins S.F., Potential for pesticide and nutrient savings via map-based automatic boom section control of spray nozzles, Computers and Electronics in Agriculture Journal, The Netherlands, Vol. 70 / Issue 1, pp 19-26, 2010;

  4. Muraru-Ionel C., Vasiliu D., Muraru V.M., Information technology for agriculture yelds mapping, Proceedings of the Romanian Academy Series A: Mathematics, Physics, Technical Sciences, Information Journal, Romania, vol. 10 / Issue 3, pp 1-7, 2009;

  5. Bhargava H. K., Power D. J., Sun D., Progress in Web-based decision support technologies Decision Support Systems, The Netherlands, vol. 43 / Issue 4, pp 1083- 1095, 2007.

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