https://doi.org/10.4081/jae.2022.1463
Performance assessment of the TORO Company Neptune PC AS dripline
Published: 3 November 2022
Abstract Views: 923
PDF: 225
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
In order to design an efficient micro-irrigation system, a monitoring approach allowing quantification of the main variables affecting the level of uniformity should be pursued. In the present work, we assess the performances of a commercial dripline, the product ‘Neptune PC AS’, furnished by TORO Company, employing an ad hoc built experimental benchmark, in doing so, defining the dripline’s acceptable working conditions. Neptune PC AS has been tested at different operating pressure heads (range 1.5-3.5 bar), and its performances have been evaluated employing a series of metrics (the emitter technological variation coefficient, the emitter uniformity, and the application efficiency). The obtained results show that Neptune PC AS is characterised by a strong pressure- compensating effect on the emitters and by very good/excellent performances for all the investigated operating pressure heads. Moreover, Neptune PC AS is characterised by little differences between the maximum and the minimum of the emitter flow rate in the case of operating pressure heads equal to 1.5 bar and 2.0 bar, while such differences tend to increase for higher operating pressures.
ASAE. 1996a. Field evaluation of microirrigation systems. EP405.1. ASAE Standards. Am. Soc. Agric. Eng. St. Joseph, MI, USA, pp. 756-759.
ASAE. 1996b. Design and installation of microirrigation systems. EP409. ASAE Standards. Am. Soc. Agric. Eng. St. Joseph, MI, USA, pp. 792-797.
Ayars, J.E., Bucks, D.A., Lamm, F.R., Nakayama, F.S. 2007. Introduction. In: Lamm, F.R., Ayars, J.E., Nakayama, F.S. (Eds.), Microirrigation for crop production. design, operation and management. Elsevier: Amsterdam, The Netherlands, pp. 1-26.
Aydin Y. 2019. Determination of emitter hydraulic properties of different in-line dripper types. Appl. Ecol. Environ. Res. 17:10195-205.
Baeza R., Contreras J.I. 2020. Evaluation of thirty-eight models of drippers using reclaimed water: Effect on distribution uniformity and emitter clogging. Water (Switzerland) 12:1463.
Baiamonte G. 2018. Advances in designing drip irrigation laterals. Agric. Water Manage. 199:157-74.
Bisconer I. 2011. Benefits of using pressure compensating (PC) micro-irrigation emission devices. American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 20117:5698-5713.
Bisconer I., Wolfram B. 2014. A guide for selecting subsurface drip irrigation (SDI) laterals in field crops. pp 3785-3794 in American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE.
Bombardelli W.W.A, Camargo A.P. de, Frizzone J.A., Lavanholi R., Rocha H.S. da. 2019. Local head loss caused in connections used in micro-irrigation systems. Rev. Brasil. Engen. Agríc. Ambient. 23:492-8.
Borssoi A.L., Vilas Boas M.A., Reisdoorfer M., Hernandez R.H., Follador F.A. 2012. Water application uniformity and fertigation in a dripping irrigation set. Eng. Agr. 32:718-26.
Boswell M.J. 1984. Micro-irrigation design manual. James Hardie Editions.
Capra A., Scicolone B. 1998. Water quality and distribution uniformity in drip/trickle irrigation systems. J. Agric. Eng. Res. 70:355-65.
dos Santos J.W.F. Reis L.S., Dos Santos Dias M., de Assis da Silva F., de Oliveira Santos J.P. 2022. Efficiency and uniformity of a subsurface drip irrigation system in sugarcane crops. Rev. Agric. Neotrop. 9:e6829.
Ferrarezi R.S., Geiger T.C., Greenidge J., Dennery S., Weiss S.A., Vieira G.H.S. 2020. Microirrigation equipment for Okra cultivation in the U.S. Virgin Islands. HortSci. 55:1045-52.
Howell T.A. 2003. Irrigation efficiency. In: T.A. Howell (Ed.), Encyclopedia of water science. Marcel Dekker Inc., New York, NY, USA, pp. 467-472.
Mendoza C.J., Carbonell J.A., Lasso J.J. 2019. Technique characterization and hydraulic performance of perforated hose microirrigation system for sugarcane in Colombia. ASABE Annual International Meeting 1900792.
Merriam, J.L., Keller, J. 1978. Farm irrigation system evaluation: a guide for management. Utah State University, Logan, UT, USA.
Petroselli A., Romerio D., Santelli P., Mariotti R., Di Giacinti S., Casini L., Testa C. 2021. Assessing sprinkler systems performance employing a novel experimental benchmark. J. Agricult. Engine. 52:1172.
Prado G., Bruscagin R.R., Tinos A.C., Bortoletto E.C., Mahl, D. 2021. Iterative calculation of local head loss coefficient of emitters in lateral lines. Brazil. J. Agric. Environ. Engine. 25:291-6.
Rajan N., Maas S., Kellison R., Dollar M., Cui S., Sharma S., Attia A. 2015. Emitter uniformity and application efficiency for centre-pivot irrigation systems. Irrig. Drain. 64: 353-61.
Saretta E., de Camargo A.P., Botrel T.A., Frizzon J.A., Koech R., Molle B. 2018. Test methods for characterising the water distribution from irrigation sprinklers: Design, evaluation and uncertainty analysis of an automated system. Biosyst. Engineering 169:42-56.
Sarker K.K., Hossain A., Murad K.F.I., Biswas S.K., Akter F., Rannu R.P., Moniruzzaman M., Karim N.N., Timsina J. 2019. Development and evaluation of an emitter with a low-pressure drip-irrigation system for sustainable eggplant production. Agri. Engine. 1:376-90.
Santelli P. 2018. Impianti di irrigazione a goccia per le colture agrarie – progettazione, metodi e tecniche. Dario Flaccovio Editore.
Solé-Torres C., Lamm F.R., Duran-Ros M., Arbat G., Ramírez de Cartagena F., Puig-Bargués J. 2021. Assessment of microirrigation field distribution uniformity procedures for pressure-compensating emitters under potential clogging conditions. Trans. ASABE. 64:1063-71.
Testezlaf R. 2011. Irrigation: methods, systems and applications. UNICAMP, Campinas, SP, Brazil.
Vilaça F.N., Camargo A.P. de, Frizzone J.A., Mateos L., Koech R. 2017. Minor losses in start connectors of microirrigation laterals. Irrig. Sci. 35:227-40.
Zhang L., Merkley G.P., Pinthong K. 2013. Assessing whole field sprinkler irrigation application uniformity. Irrig. Sci. 31:87e105.
How to Cite
Petroselli, A. (2022) “Performance assessment of the TORO Company Neptune PC AS dripline”, Journal of Agricultural Engineering, 53(4). doi: 10.4081/jae.2022.1463.
Copyright (c) 2022 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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
- Igor KovaÄev, Daniele De Wrachien, Report on the 44th International Symposium: Actual Tasks on Agricultural Engineering, 23rd-26th February 2016, Opatija, Croatia , Journal of Agricultural Engineering: Vol. 47 No. 1 (2016)
- Zachary Chapman, Jeffrey Doom, Computational fluid dynamic simulation of a pulse-width modulated spray nozzle , Journal of Agricultural Engineering: Vol. 52 No. 1 (2021)
- Yusuf Uzun, Mehmet Resit Tolun, Halil Tanyer Eyyuboglu, Filiz Sarı, An intelligent system for detecting Mediterranean fruit fly [Medfly; Ceratitis capitata (Wiedemann)] , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- Roberto Beghi, Valentina Giovenzana, Alessio Tugnolo, Domenico Pessina, Riccardo Guidetti, Evaluation of energy requirements of an industrial scale plant for the cultivation of white button mushroom (Agaricus bisporus) , Journal of Agricultural Engineering: Vol. 51 No. 2 (2020)
- Yiming Xiao, Jianhua Wang, Hongyi Xiong, Fangjun Xiao, Renhuan Huang, Licong Hong, Bofei Wu, Jinfeng Zhou, Yongbin Long, Yubin Lan, Lychee cultivar fine-grained image classification method based on improved ResNet-34 residual network , Journal of Agricultural Engineering: Vol. 55 No. 3 (2024)
- Yane Ansanay, Praveen Kolar, Ratna Sharma-Shivappa, Jay Cheng, Sunkyu Park, Consuelo Arellano, Pre-treatment of biomasses using magnetised sulfonic acid catalysts , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Francesco Giuseppe Carollo, Vito Ferro, Donatella Termini, ANALYSING LONGITUDINAL TURBULENCE INTENSITY IN VEGETATED CHANNELS , Journal of Agricultural Engineering: Vol. 38 No. 4 (2007)
- Volodymyr Bulgakov, Hristo Beloev, Ivan Holovach, Vladimir KroÄko, Ladislav Nozdrovicky, Pavol Findura, The most complex theory of the symmetric impact of the vibrating digging working tool on the sugar beet root , Journal of Agricultural Engineering: Vol. 49 No. 4 (2018)
- Nicoletta Tomasello, Francesa Valenti, Giovanni Cascone, Simona M.C. Porto, Improving natural ventilation in renovated free-stall barns for dairy cows: Optimized building solutions by using a validated computational fluid dynamics model , Journal of Agricultural Engineering: Vol. 52 No. 1 (2021)
- Rania Majdoubi, Lhoussaine Masmoudi, Abderrahmane Elharif, Soil profile analysis based on the identification of the bevametric parameters using a cone penetrometer , Journal of Agricultural Engineering: Vol. 53 No. 4 (2022)
<< < 44 45 46 47 48 49 50 > >>
You may also start an advanced similarity search for this article.
