Abstract
In a today economy, it is crucial to have systems able to handle information with precision. In addition, it is also important to apply technological innovations in the various domains, with the objective to modernize and transform them to become more competitive. In this paper, a conceptual framework for a Farm Management Information System (FMIS) is presented. It is focused in the different ways of using the information coming from various sources as sensors to assist farmers in decision making of agriculture business.
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Gebbers, R., Adamchuk, V.: Precision Agriculture and Food Security. In: Science, vol. 327 (2010)
Tellaeche, A., Artizzu, X.P.B., et al.: A new vision-based approach to differential spraying in precision agriculture. Computers and Electronics in Agriculture 60 (2008)
Adamchuk, V.I., Hummel, J.W., et al.: On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture 44 (2004)
Johnson, C.K., Doran, J.W., et al.: Field-scale electrical conductivity mapping for delineating soil condition. Soil Science Society of America Journal 65 (2001)
European Commission (2013), Retrieved from the web at Dez13: http://ec.europa.eu/digital-agenda/en/collective-awareness-platforms-sustainability-and-social-innovation
Sørensen, C., Fountas, S., Nash, E., Pesonen, L., Bochtis, D., Pedersen, S., Basso, B., Blackmore, S.: Conceptual Model of a Future Farm Management Information System. In: Computers and Electronics in Agriculture, vol. 72 (2010)
Salami, P., Ahmadi, H.: Review of Farm Management Information Systems (FMIS). New York Science Journal (2010)
Bachmaier, M., Gandorfer, M.: A conceptual framework for judging the precision agriculture hypothesis with regard to site-specific nitrogen application. Precision Agriculture 10 (2008)
Wang, N., Zhang, N.Q., et al.: Wireless sensors in agriculture and food industry - Recent development and future perspective. Computers and Electronics in Agriculture 50 (2006)
Lamba, D., Fraziera, W.P., et al.: Improving pathways to adoption: Putting the right P’s in precision agriculture. Computers and Electronics in Agriculture 61 (2007)
Nikkilä, R.: Farm Management Information System Architecture for Precision Agriculture. Department of Computer Science and Engineering, Laboratory of Computer and Information Science. Helsinki University of technology, Espoo, Finland (2007)
Schnug, E., Panten, K., et al.: Sampling and nutrient recommendations - The future. In: Int. Soil and Plant Analysis Symp., Minneapolis, Minnesota, Marcel Dekker Inc. (1997)
Adamchuk, V.I., Morgan, M.T., et al.: An automated sampling system for measuring soil pH. Trans. Sensors (2011)
Srivastava, S.: Space Inputs for Precision Agriculture: Scope for Prototype Experiments in the Diverse Indian Agro-Ecosystems. In: Map Asia 2002, Report, 7 - 9, Bangkok, Thailand, 1–4 (August 2002) (accessed February 4, 2011)
Ruiz-Garcia, L., Lunadei, L., et al.: A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: SoA and Current Trends, Sensors (2009)
Dargie, W., Poellabauer, C.: Fundamentals of wireless sensor networks: theory and practice. John Wiley and Sons (2010) ISBN 978-0-470-99765-9
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Burlacu, G., Costa, R., Sarraipa, J., Jardim-Golcalves, R., Popescu, D. (2014). A Conceptual Model of Farm Management Information System for Decision Support. In: Camarinha-Matos, L.M., Barrento, N.S., Mendonça, R. (eds) Technological Innovation for Collective Awareness Systems. DoCEIS 2014. IFIP Advances in Information and Communication Technology, vol 423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54734-8_6
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DOI: https://doi.org/10.1007/978-3-642-54734-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54733-1
Online ISBN: 978-3-642-54734-8
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