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Design of an Identification System for Crop Monitoring as First Step to Implementing Precision Agriculture Technology: The Case of African Palm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1027))

Abstract

The use of emerging technologies brings multiple benefits to the agricultural sector, not only at an economic level, but also in reference to sustainability and the use of natural resources. Some technological systems make it possible to, among others things, improve the monitoring process of crops through (1) the identification of pests and diseases in plants to implement corrective and preventive measures, (2) the planning of different activities and crop rotation times such as planting, collection, pollination, etc. having a direct impact on the product quality, the crop useful life, its productivity and the producer income. In Colombia, the monitoring of extensive crops such as African palm (465,985 ha) is still manually done, therefore this work proposes a prototype identification system, designed and validates to provide data to an information system for the monitoring of each plants in African palm crops as a starting point (data collection) to implement precision agriculture in this agro sector.

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References

  1. Eric, J., Owen, B.: Fertilización de palma africana (Elaeis Guineensis Jacq.) Colombia (1992)

    Google Scholar 

  2. Fedepalma: The African palm indicators in Colombia (2018)

    Google Scholar 

  3. Leventin, E., McMahon, K.: Plants and Society, 5th Ed., pp. 177–86. McGrowHill, Chicago (2008)

    Google Scholar 

  4. Laura, C.N.: Informe Near Field Communication (NFC) (2012)

    Google Scholar 

  5. Junsuft, Tecnología NFC Near field communication [En línea], Noviembre del 2012

    Google Scholar 

  6. Best, S., León, L. Méndez, A., Flores, F., Aguilera, H.: Adopción y Desarrollo de tecnologías en Agricultura de Precisión. Boletín Digital Nº 3, Progap-INIA, 100 p. Progap-INIA, Instituto de Investigaciones Agropecuarias, Chillán, Chile (2014)

    Google Scholar 

  7. Locker, R., Sander, J.: SC2 Workshop 1: Big Data challenges and solutions in agricultural and environmental research (2015)

    Google Scholar 

  8. Bongiovanni, R., Mantovani, E.C., Best, S., Roel, Á.: PROCISUR. Montevideo (2006)

    Google Scholar 

  9. Mantovani, E.C., Magdalena, C.: Manual de agricultura de precisión, pp. 1–178. IICA/PROCISUR, Montevideo (2014)

    Google Scholar 

  10. Plant RE. Comput Electron Agric. (2001)

    Google Scholar 

  11. Schrijver, R., Poppe, K., Daheim, C.: Brussels. Precision agriculture and the future of farming in Europe. Report No.: PE 581.892 (2016)

    Google Scholar 

  12. Aubert, B.A., Schroeder, A., Grimaudo, J.: IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decis. Support Syst. 54(1), 510–520 (2012)

    Article  Google Scholar 

  13. Nash, E., Korduan, P., Bill, R.: Precis. Agric. 10, 546–60 (2013)

    Google Scholar 

  14. Neményi, M., Mesterházi, P.Á., Pecze, Z., Stépán, Z.: Comput. Electron. Agric. 40, 45–55. (2012)

    Google Scholar 

  15. Lamb, D.W., Brown, R.B.: J. Agric. Eng. Res. 78(2), 117–25 (2016)

    Google Scholar 

  16. Tellaeche, A., Burgos-Artizzu, X.P., Pajares, G., et al.: Comput. Electron. Agric. 6, 144–55 (2016)

    Google Scholar 

  17. Nguyen, T.T., Vandevoorde, K., Wouters, N., et al.: Biosyst. Eng. 1(46), 33–44 (2016)

    Google Scholar 

  18. Wouters, N., De Ketelaere, B., Deckers, T., De Baerdemaeker, J., Saeys, W.: Comput. Electron. Agric. 113, 93–103 (2015)

    Google Scholar 

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Correspondence to Katherine Andrea Cuartas Castro .

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Jimenez, J.C., Castro, K.A.C. (2019). Design of an Identification System for Crop Monitoring as First Step to Implementing Precision Agriculture Technology: The Case of African Palm. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_31

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  • DOI: https://doi.org/10.1007/978-3-030-21451-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21450-0

  • Online ISBN: 978-3-030-21451-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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