Study of a smart irrigation system for water managing for potatoes in Chlef region, Algeria

• Autorzy: Amoura Mohammed , Douani Mustapha , Tahri Toufik

Identyfikatory

DOI

10.24425/jwld.2022.141560

• Języki publikacji: EN

Abstrakty

EN

The configuration of the smart irrigation system was designed on the basis of data specific to the parameters concerning characteristics of the plant and the pedological properties of the local soil (permeability, pH, humidity, porosity, etc.), including the meteorological factors. In the Chlef area, the water availability is dependent on meteorological data. The objective of this work is to estimate irrigation water needs in crop gardening (potato) based on a smart irrigation system (SIS). Thus, to ensure an equilibrated growth of crops, we have developed a system with parameters, such as soil moisture and soil temperature, which are the input variables of this smart irrigation system. This system was applied for the irrigation of potatoes (‘Bartina’ variety), planted in the agricultural experimental station of Lard El Beida at Chlef. The results obtained in terms of production yield led to a conclusion that the smart irrigation system allows achieving production of 124.83% with lower water consumption (-19.31%), compared to that of a drip irrigation system. Moreover, the granulometric analysis of the potato tuber size showed that 80.83% of the production is within the size range between 30 mm and 55 mm. By comparison, we observed that 77.4% of products obtained from drip irrigation follow a uniform distribution. We conclude that this smart irrigation system is very economical in terms of water use for gardening crops. Given these encouraging results, it would be wiser to generalize its application and implement it to guarantee food self-sufficiency in the water-deficient regions.

Słowa kluczowe

EN

Chlef area; plot productivity; potato; smart irrigation system; water consumption

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: no. 54
• Strony: 101--108
• Opis fizyczny: Bibliogr. 29 poz., fot., rys., tab., wykr.

Twórcy

autor

Amoura Mohammed

• Hassiba Benbouali University of Chlef, Faculty of Technology, Laboratory of Vegetal Chemistry-Water-Energy, Algeria

• https://orcid.org/0000-0003-1718-7417

autor

Douani Mustapha

• Hassiba Benbouali University of Chlef, Faculty of Technology, Laboratory of Vegetal Chemistry-Water-Energy, Algeria

• https://orcid.org/0000-0002-9116-2675

autor

Tahri Toufik

• Hassiba Benbouali University of Chlef, Faculty of Technology, Laboratory of Electrical Engineering and Renewable Energy LGEER, Route nationale No. 19, 2000, Chlef, Algeria

• https://orcid.org/0000-0002-6123-7285

Bibliografia

• AL-GHOBARI H.M., MOHAMMAD F.S. 2011. Intelligent irrigation performance: evaluation and quantifying its ability for conserving water in arid region. Applied Water Science. Vol. 1 p. 73–83. DOI 10.1007/s13201-011-0017-y.
• BRUAND A., DUVAL O., GAILLARD H., DARTHOUT R., JAMAGNE M. 1996. Variabilité de rétention en eau des sols: Importance de la densité apparente [Variability of soil water retention: Importance of bulk density]. Etude des gestions des sols. Vol. 3(1) p. 27–40.
• CAPRARO F., SCHUGURENSKY C., VITA F., TOSETTI S., LAGE A., PATIÑO D. 2008. Intelligent irrigation in grapevines: A way to obtain different wine characteristics. [17th FAC World Congress]. [6–11 July 2008 Seoul, Korea].
• CHEIAKH M.O. 2018. Valorisation des déchets de palmier dattier, étude de leurs effets sur quelques paramètres physico-chimiques du sol, région de Biskra [Valorization of date palm waste, study of their effects on some physicochemical parameters of the soil, Biskra region]. MSc Thesis. Biskra University.
• DAJOZ R. 1971. Précis d’écologie [Precise ecology]. 2 nd ed. Paris. Dunod. ISBN 9782040005290 pp. 434.
• DASSANAYAKE D.K., DASSANAYAKE H., MALANO G.M., DUNN DOUGLAS P., LANGFORD J. 2009. Water saving through smarter irrigation in Australian dairy farming: Use of intelligent irrigation contro ller and wireless sensor network. [18 th World IMACS/MODSIM Congress]. [2009 Cairns, Australia] p. 4409–4417.
• DAVIS S.L., DUKES M.D. 2016. Importance of ET controller program settings on water conservation potential. Applied Engineering in Agriculture. Vol. 32(2) p. 251–262. DOI 10.13031/aea.32.11182.
• DJAAFOUR N. 2019. État des lieux de la filière pomme de terre dans la région d’El Oued [State of play of the potato sector in the region of El Oued]. MSc Thesis. Eloued University pp. 129.
• DUCHAUFOUR P. 1983. Pédologie 1: Pédogénèse et classification [Pedology 1: Pedogenesis and classification]. Eds. M. Bonneau, B. Souehier. Paris. Masson. ISBN 2-225-79673-4 pp. 491.
• FAO 2015. Profil de pays – Algérie [Country profile – Algeria]. FAO AQUASTAT rapports. [online]. Rome. Food and Agriculture Organization of the Unites Nations pp. 18. [Access 16.06.2021]. Available at: http://www.fao.org/3/i9861fr/I9861FR.pdf
• ISERMAN R., LACHMANN K., MATKO D. 1992. Adaptive control systems. Hemel Hempstead. Prentice Hall International. ISBN 978-0-13-005414-2 pp. 541.
• LAHOUEL Z. 2015. Etude diagnostique de la filière pomme de terre dans la région de Tlemcen, Cas de deux fermes pilotes: Hamadouche et Belaidouni [Diagnostic study of the potato sector in the Tlemcen region, case of two pilot farms: Hamadouche and Belaidouni]. MSc Thesis. Tlemcen University pp. 95.
• LOZANO D., MATEOS L. 2007. Usefulness and limitations of decision support systems for improving irrigation scheme management. Agriculture Water Management. Vol. 95(4) p. 409–418. DOI 10.1016/j.agwat.2007.11.003.
• MCCREADY M.S., DUKES M.D., MILLER G.L. 2009. Water conservation potential of smart irrigation controllers on St. Augustinegrass. Agriculture Water Management. Vol. 96(11) p. 1623–1632. DOI 10.1016/j.agwat.2009.06.007.
• MÉNDEZ-BARROSO L.A., PAYÁN J.G., VIVONI E.R. 2008. Quantifying water stress on wheat using remote sensing in the Yaqui Valley, Sonora, Mexico. Agriculture Water Management. Vol. 95(6) p. 725–736. DOI 10.1016/j.agwat.2008.01.016.
• MERRIAM J.L., KELLER J. 1978. Farm irrigation system evaluation: A guide to management. 3 rd ed. Logan. Utah State University. ISBN 9780317347791 pp. 130.
• MICHAEL D., DUKES M.D. 2008. Water conservation potential of smart irrigation controllers. [5th National decennial irrigation conference proceedings]. [2008 Phoenix convention center, USA].
• MUN S., SASSENRATH G., SCHMIDT A., LEE N., WADSWORTH M., RICE B., CORBITT J., SCHNEIDER J., TAGERT M., POTE J., PRABHU R. 2015. Uncertainty analysis of an irrigation scheduling model for water management in crop production. Agriculture Water Management. Vol. 155 p. 100–112. DOI 10.1016/j.agwat.2015.03.009.
• MUÑOZ-CARPENA R., DUKES M.D. 2005. Automatic irrigation based on soil moisture for vegetable crops [online]. Extension Bul. Departement of Agricultural and Biological Engineering. Florida, USA. University of Florida. [Access 18.03.2019]. Available at: http://edis.ifas.ufl.edu/pdffiles/AE/AE35400.pdf
• MUÑOZ-CARPENA R., LI Y., OLCZYK T. 2003. Alternatives for low cost soil moisture monitoring devices for vegetable production in the south Miami-Dade County agricultural area [online]. Fact Sheet ABE 333 of the Department of Agriculture and Biological Engineering. Florida, USA. University of Florida. [Access 16.06.2021]. Available at: https://edis.ifas.ufl.edu/pdf%5CAE%5CAE23000.pdf
• NAUTIYAL M., GRABOW G., MILLER G., HUFFMAN R.L. 2010. Evaluation of two smart irrigation technologies in Cary, North Carolina. [An ASABE Meeting Presentation, Paper Number: 1009581]. [2010 David L. Lawrence Convention Center, Pittsburgh. Pennsylvania, USA]. DOI 10.13031/2013.29936.
• NORUM M.N., ADHIKARI D. 2009. Smart irrigation system controllers. [7th World Congress on computers in agriculture conference proceedings]. [2009 Reno, Nevada]. DOI 10.13031/2013.29041.
• PLAYÁN E., MATEOS L. 2006. Modernization and optimization of irrigation systems to increase water productivity. Agriculture Water Management. Vol. 80 p. 100–116. DOI 10.1016/j.agwat.2005.07.007.
• REMINI B. 2010. La problematique de l’eau en Algerie [The problem of water in northern Algeria]. Larhyss Journal. Vol. 8 p. 27–46.
• SMARSLY K. 2013. Agricultural ecosystem monitoring based on autonomous sensor systems. [Second International Conference on Agro-Geoinformatics]. [12–16 August 2013. Fairfax, Virginia, USA] p. 402–407. DOI 10.1109/Argo-Geoinformatics.2013.6621952.
• TAHRI T., ABDUL-WAHAB S.A., BETTAHAR A., DOUANI M., AL-HINAI H., AL-MULLA Y. 2009a. Simulation of the condenser of the seawater greenhouse. Part I: Theoretical development. Journal of Thermal Analysis and Calorimetry. Vol. 96 p. 35–42. DOI 10.1007/s10973-008-9835-z.
• TAHRI T., ABDUL-WAHAB S.A., BETTAHAR A., DOUANI M., AL-HINAI H., AL-MULLA Y. 2009b. Simulation of the condenser of the seawater greenhouse. Part II: Application of the developed theoretical model. Journal of Thermal Analysis and Calorimetry. Vol. 96 p. 43–47. DOI 10.1007/s10973-008-9915-0.
• ZELLA L., SMADHI D. 2007. Evolution de l’irrigation [Evolution of irrigation] [online]. Larhyss Journal. Vol. 6 p. 65–80. [Access 16.06.2021]. Available at: http://www.webreview.dz/IMG/pdf/6.Zella_et_al.pdf
• ZHANG X., ZOU H., ZHANG N., LI Y., YANG Y. 2013. The research and applications of agricultural automation based on Internet of things. WIT Transactions on Information and Communication Technologies. Vol. 46 p. 111–119. DOI 10.2495/isme130151.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).