https://doi.org/10.4081/jae.2020.1029
A technical-economic analysis of telemetry as a monitoring tool for crop protection in viticulture
Published: 18 June 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Based on the European Community framework directive 2009/128/EC that is devoted to the sustainable use of pesticides, farmers’ sensitivity and their administrative fulfillments are growing in recent years. Great attention is directed towards remote data acquisition by smartphone, satellites, drones. An available technological tool to accomplish this in the scenario of precision viticulture technologies is telemetry. This study aimed to evaluate the usefulness of the data acquired with a telemetry system used when applying crop protection products in a winemaking farm for management optimization. Results showed an incorrect operative operation rate for 9.53% of the total kilometers worked during the spraying phase with a variable cost for fuel and pesticides ranging between 0.01 € m–1 and 0.03 € m–1.
Abeledo, M.C., Bruschetti, F., Priano, D.A., Calbosa, D., Crubellier, R., Iriso, P., Abete, E., 2016. Application of wireless technology to determine optimum maturity in strains of Malbec vineyards for Argentine wine sectors. In: CACIDI 2016 - Congreso Argentino de Ciencias de la Informatica y Desarrollos de Investigacion 7785984. Institute of Electrical and Electronics Engineers Inc., Buenos Aires, Argentina. http://dx.doi.org/10.1109/CACIDI.2016.7785984.
Acquedotto del Fiora, 2018. Tariffe del Servizio Idrico Integrato, a decorrere dal 01/01/2018 (ai sensi della Deliberazione AIT n. 18 del 27/07/2018 e Deliberazione ARERA n. 665/2017 allegato A, art. 3.4 lettera a). https://www.fiora.it/source/upload/files/tariffe_2018.pdf
ASABE, 2006. EP496.3: Agricultural Machinery Management. In: ASABE Standards. St. Joseph, MI.: ASABE.
Camera di Commercio Industria e Artigianato di Siena (2018). Listino n° 30 del 08/08/2018. https://www.si.camcom.gov.it/uploads/publisher/123-listino-n.30-del-08-08-2018.pdf.
Castillo-Ruiz, F. J., Pérez-Ruiz, M., Blanco-Roldán, G. L., Gil-Ribes, J. A., & Agüera, J., 2015. Development of a telemetry and yield-mapping system of olive harvester. Sensors (Switzerland), 15(2), 4001-4018. doi: http://dx.doi.org/10.3390/s150204001
Cima, 2019. Link 55. https://www.cima.it/atomizzatore-link-55/s7f29762c (Last accessed on 26.07.2019).
ESRI, 2013. ArcGIS Desktop: Release 10.3 Redlands, CA: Environmental Systems Research Institute.
Gil, E., Arnó, J., Llorens, J., Sanz, R., Llop, J., Rosell-Polo, J.R., Gallart, M., Escolà , A., 2014. Advanced technologies for the improvement of spray application techniques in Spanish viticulture: An overview. Sensors (Switzerland) 14, 691–708. http://dx.doi.org/10.3390/s140100691.
Google Earth, 2019. https://www.google.it/intl/it/earth/download/gep/agree.html (Last accessed on 26.07.2019).
Microsoft, 2013. Microsoft Excel 2013 (15.0.4919.1000) MSO (15.0.4919.1002)
New Holland Agriculture, 2019. Trattori T4 F/N/V. https://agriculture.newholland.com/eu/it-it/prodotti/gamme/trattori/t4fnv/informazioni-tecniche
Oksanen, T., Linkoletho, R., Seilonen, I., Oksanen, T., Linkolehto, R., Seilonen, I., 2016. Adapting an industrial automation protocol to remote monitoring of mobile agricultural machinery: a combine harvester with IoT. In: IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL.
R Core Team, 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria.
Reyes, J.F., Correa, C., Esquivel, W., Ortega, R., 2012. Development and field testing of a data acquisition system to assess the quality of spraying in fruit orchards. Comput. Electron. Agric. 84, 62–67. http://dx.doi.org/10.1016/j.compag.2012.02.018.
Sarri, D., Martelloni, L., Vieri, M., 2017. Development of a prototype of telemetry system for monitoring the spraying operation in vineyards. Computers and Electronics in Agriculture, 142, 248-259. doi: https://doi.org/10.1016/j.compag.2017.09.018
Siegfried, W., Viret, O., Huber, B., Wohlhauser, R., 2016. Dosage of plant protection products adapted to leaf area index in viticulture. In: Crop Protection, Volume 26, Issue 2, February 2007, Pages 73-82. https://doi.org/10.1016/j.cropro.2006.04.002
Sika – PICORE, 2019. https://www.sika-picore.net/fr/ (Last accessed on 10.09.2019)
Snapp, S.S., Swinton, S. M., Labarta, R., Mutch, D., Black, J. R., Leep, R., Nyiraneza, J. and O’Neil, K., 2005. Evaluating Cover Crops for Benefits, Costs and Performance within Cropping System Niches. Agronomy Journal, Vol. 97. DOI: https://doi.org/10.2134/agronj2005.0322a
Tseng, C., Jiang, J., Lee, R., Lu, F., Ouyang, C., Chen, Y., Chang, C., 2006. Feasibility study on application of GSM-SMS technology to field data acquisition. Comput. Electron. Agric. 53, 45–59. http://dx.doi.org/10.1016/j.compag.2006.03.005.
How to Cite
Sarri, D. (2020) “A technical-economic analysis of telemetry as a monitoring tool for crop protection in viticulture”, Journal of Agricultural Engineering, 51(2), pp. 91–99. doi: 10.4081/jae.2020.1029.
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