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
Abstract Views: 794
PDF: 567
HTML: 70
HTML: 70
Publisher's note
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.
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.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Senanur Durgut Malçok, Azime Özkan Karabacak, Ertürk Bekar, Cüneyt Tunçkal, Canan Ece Tamer, Influence of a hybrid drying combined with infrared and heat pump dryer on drying characteristics, colour, thermal imaging and bioaccessibility of phenolics and antioxidant capacity of mushroom slices , Journal of Agricultural Engineering: Vol. 54 No. 3 (2023)
- Antonio Guiso, Alessandro Parenti, Piernicola Masella, Lorenzo Guerrini, Fabio Baldi, Paolo Spugnoli, Environmental impact assessment of three packages for high-quality extra-virgin olive oil , Journal of Agricultural Engineering: Vol. 47 No. 4 (2016)
- Francesco Barreca, Giuseppe Cardinali, Carmelo Riccardo Fichera, Luigi Lamberto, Giuseppe Modica, A fuzzy-based model to implement the global safety buildings index assessment for agri-food buildings , Journal of Agricultural Engineering: Vol. 45 No. 1 (2014)
- Elio Dinuccio, Fabrizio Gioelli, Dalibor Cuk, Luca Rollè, Paolo Balsari, The use of co-digested solid fraction as feedstock for biogas plants , Journal of Agricultural Engineering: Vol. 44 No. 4 (2013)
- Volodymyr Bulgakov, Simone Pascuzzi, Semjons Ivanovs, Volodymyr Kuvachov, Yulia Postol, Francesco Santoro, Viktor Melnyk, Study of the steering of a wide span vehicle controlled by a local positioning system , Journal of Agricultural Engineering: Vol. 52 No. 3 (2021)
- Ziyan Fan, Lijun Li, Zicheng Gao, Fuzzy neural network PID control design of camellia fruit vibration picking manipulator , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Vincenzo Comegna, Antonio Coppola, Alessandro Comegna, LABORATORY-SCALE STUDY ON REACTIVE CONTAMINANT TRANSPORT IN SOIL BY MEANS OF ONE-DIMENSIONAL ADVECTIVE DISPERSIVE MODELS , Journal of Agricultural Engineering: Vol. 42 No. 3 (2011)
- Alberto Finzi, Elisabetta Riva, Alda Bicoku, Viviana Guido, Seit Shallari, Giorgio Provolo, Comparison of techniques for ammonia emission mitigation during storage of livestock manure and assessment of their effect in the management chain , Journal of Agricultural Engineering: Vol. 50 No. 1 (2019)
- Simona M.C. Porto, Claudia Arcidiacono, Giuseppe C. Guarnera, Giovanni Cascone, PRELIMINARY STUDY FOR THE IMPLEMENTATION OFAN IMAGE ANALYSIS ALGORITHM TO DETECT DAIRY COW PRESENCE AT THE FEED BARRIER , Journal of Agricultural Engineering: Vol. 42 No. 4 (2011)
- Daniele de Wrachien, Carlos Brebbia, Report on the 4th International Conference on monitoring, simulation, prevention and remediation of dense and debris flows - Debris Flow 2012 , Journal of Agricultural Engineering: Vol. 43 No. 2 (2012)
<< < 19 20 21 22 23 24 25 26 27 28 > >>
You may also start an advanced similarity search for this article.
