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Construction and basic performance test of an ICT-based irrigation monitoring system for rice cultivation in UAE desert soil

  • Mohammod, Ali (Department of Agricultural Machinery Engineering, Graduate School, College of Agriculture and Life Sciences, Chungnam National University) ;
  • Md Nasim, Reza (Department of Agricultural Machinery Engineering, Graduate School, College of Agriculture and Life Sciences, Chungnam National University) ;
  • Shafik, Kiraga (Department of Smart Agricultural Systems, Graduate School, College of Agriculture and Life Sciences, Chungnam National University) ;
  • Md Nafiul, Islam (Department of Agricultural Machinery Engineering, Graduate School, College of Agriculture and Life Sciences, Chungnam National University) ;
  • Milon, Chowdhury (Department of Agricultural Machinery Engineering, Graduate School, College of Agriculture and Life Sciences, Chungnam National University) ;
  • Jae-Hyeok, Jeong (National Institute of Crop Science, Rural Development Administration) ;
  • Sun-Ok, Chung (Department of Agricultural Machinery Engineering, Graduate School, College of Agriculture and Life Sciences, Chungnam National University)
  • Received : 2021.08.06
  • Accepted : 2021.09.23
  • Published : 2021.12.01

Abstract

An irrigation monitoring system is an efficient approach to save water and to provide effective irrigation scheduling for rice cultivation in desert soils. This research aimed to design, fabricate, and evaluate the basic performance of an irrigation monitoring system based on information and communication technology (ICT) for rice cultivation under drip and micro-sprinkler irrigation in desert soils using a Raspberry Pi. A data acquisition system was installed and tested inside a rice cultivating net house at the United Arab Emirates University, Al-Foah, Al-Ain. The Raspberry Pi operating system was used to control the irrigation and to monitor the soil water content, ambient temperature, humidity, and light intensity inside the net house. Soil water content sensors were placed in the desert soil at depths of 10, 20, 30, 40, and 50 cm. A sensor-based automatic irrigation logic circuit was used to control the actuators and to manage the crop irrigation operations depending on the soil water content requirements. A developed webserver was used to store the sensor data and update the actuator status by communicating via the Pi-embedded Wi-Fi network. The maximum and minimum average soil water contents, ambient temperatures, humidity levels, and light intensity values were monitored as 33.91 ± 2 to 26.95 ± 1%, 45 ± 3 to 24 ± 3℃, 58 ± 2 to 50 ± 4%, and 7160-90 lx, respectively, during the experimental period. The ICT-based monitoring system ensured precise irrigation scheduling and better performance to provide an adequate water supply and information about the ambient environment.

Keywords

Acknowledgement

This work was carried out with the support of the "Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ014538022020)" Rural Development Administration, Republic of Korea.

References

  1. Akhter T, Ali M, Cha J, Park SJ, Jang G, Yang KW, Kim HJ. 2018. Development of a data acquisition system for the long-term monitoring of plum (Japanese apricot) farm environment and soil. Journal of Biosystems Engineering 43:426-439. 
  2. Aronovici VS. 1952. Laboratory evaluation of desert soils for irrigation. Eos, Transactions American Geophysical Union 33:49-52.  https://doi.org/10.1029/TR033i001p00049
  3. Bouman BAM. 2009. How much water does rice use? Rice Today 8:28-29. 
  4. Crespo JM, Iersel MWV. 2011. A calibrated time domain transmissometry soil moisture sensor can be used forprecise automated irrigation of containergrown plants. HortScience 46:889-894.  https://doi.org/10.21273/hortsci.46.6.889
  5. Environment Agency. 2017. Abu Dhabi state of environment report 2017. p. 97. Environment Agency, Bristol, UK. 
  6. Frenken K. 2009. Irrigation in the middle east region in figures aquastat survey-2008 FAO water report. pp. 185-197. Food and Agriculture Organization of the UN (FAO), Rome, Italy. 
  7. Gonzalez HF, Porras JLC, Gutierrez IDB, LaMoreaux JW. 2013. Management of water resources in protected areas. Springer Berlin, Heidelberg, Germany. 
  8. Haefele SM, Siopongco JDLC, Boling AA, Bouman BAM, Tuong TP. 2009. Transpiration efficiency of rice (Oryza sativa L.). Field Crops Research 111:1-10.  https://doi.org/10.1016/j.fcr.2008.09.008
  9. Hirich A, Choukr-Allah R, Ragab R. 2020. Emerging research in alternative crops. Environment & Policy, Springer Nature, Basingstoke, UK. 
  10. Hirich A, Choukr-Allah R. 2017. Water and energy use efficiency of greenhouse and net house under desert conditions of UAE: Agronomic and economic analysis. Water resources in arid areas: The way forward. pp. 481-499. Springer, Berlin, Germany. 
  11. Iqbal Z, Islam N, Jang BE, Ali M, Kabir SN, Lee DH, Na KD, Park SB, Chung SO. 2019. Monitoring the operating status of an automatic harmful fly collector for smart greenhouses. Journal of Biosystems Engineering 44:258-268.  https://doi.org/10.1007/s42853-019-00036-8
  12. Joseph S. 2018. Farming the desert: Agriculture in the oil frontier, the case of the United Arab Emirates, 1940s to 1990s. British Journal of Middle Eastern Studies 45:678-694.  https://doi.org/10.1080/13530194.2017.1320977
  13. Kato Y, Kamoshita A, Abe J, Yamagishi J. 2007. Improvement of rice (Oryza sativa L.) growth in upland conditions with deep tillage and mulch. Soil & Tillage Research 92:30-44.  https://doi.org/10.1016/j.still.2005.12.013
  14. Khaitov B, Umurzokov M, Cho KM, Lee YJ, Park KW, Sung J. 2019. Importance and production of chilli pepper; heat tolerance and efficient nutrient use under climate change conditions. Korean Journal of Agricultural Science 46:769-779. 
  15. Kihoro J, Bosco NJ, Murage H. 2013. Suitability analysis for rice growing sites using amulticriteria evaluation and GIS approach in great Mwea region, Kenya. SpringerPlus 2:2-9.  https://doi.org/10.1186/2193-1801-2-2
  16. Kim WS, Lee WS, Kim YJ. 2020. A review of the applications of the internet of things (IoT) for agricultural automation. Journal of Biosystems Engineering 45:1-16.  https://doi.org/10.1007/s42853-019-00040-y
  17. Kim YS, Kim DH, Chung SO, Choi CH, Choi TH, Kim YJ. 2019. Development of an environment field monitoring system to measure crop growth. Korean Journal of Agricultural Science 46:57-65. [in Korean]  https://doi.org/10.7744/KJOAS.20180084
  18. Kondo M, Murty MVR, Aragones DV. 2000. Characteristics of root growth and water uptake from soil in upland rice and maize under water stress. Soil Science and Plant Nutrition 46:721-732.  https://doi.org/10.1080/00380768.2000.10409137
  19. Krishnan P, Ramakrishnan B, Reddy KR, Reddy VR. 2011. High-temperature effects on rice growth, yield, and grain quality. Advances in Agronomy 1st edition. pp. 87-206. Elsevier, Amsterdam, Netherlands. 
  20. Lakshmisudha K, Hegde S, Kale N, Lyer S. 2016. Smart precision based agriculture using sensors. International Journal of Computer Applications 146:36-38.  https://doi.org/10.5120/ijca2016910916
  21. Mehtre B, Benni N. 2020. IoT data logger in irrigation using raspberry Pi model B. International Journal of Science and Research 9:288-291. 
  22. Mohamed MM, Parimalarenganayaki S, Khan Q, Murad A. 2021. Review on the use of environmental isotopes for groundwater recharge and evaporation studies in the GCC countries. Groundwater for Sustainable Development 12:1-9. 
  23. Murad AA, Nuaimi HA, Hammadi MA. 2007. Comprehensive assessment of water resources in the United Arab Emirates (UAE). Water Resources Management 21:1449-1463.  https://doi.org/10.1007/s11269-006-9093-4
  24. Navarro-Hellin H, Martinez-del-Rincon J, Domingo-Miguel R, Soto-Valles F, Torres-Sanchez R. 2016. A decision support system for managing irrigation in agriculture. Computers and Electronics in Agriculture 124:121-131.  https://doi.org/10.1016/j.compag.2016.04.003
  25. NN (National News). 2020. Rice grown in the Sharjah desert promises bright farming future. Accessed in https://www.thenationalnews.com/uae/environment/rice-grown-in-the-sharjah-desert-promises-bright-farmingfuture-1.1027981 on 3 June 2020. 
  26. PM (Plant Maid). 2020. How much light do my indoor plants need? Accessed in https://www.plantmaid.com/howmuch-light-do-my-indoor-plants-need/ on 1 June 2020. 
  27. Power L. 2014. Scarcity and abundance: Scarcity and aboundance: UAE food and water security. Stratigic analyssis paper. pp. 1-7. Future Directions International, Nedlands, Australia. 
  28. Prathibha SR, Hongal A, Jyothi MP. 2017. IoT based monitoring system in smart agriculture. pp. 81-84. In Proceedings of the International Conference on Recent Advances in Electronics and Communication Technology. 
  29. Rajalakshmi P, Mahalakshmi SD. 2016. IOT based crop-field monitoring and irrigation automation. pp. 450-456. In Proceedings of the 10th International Conference on Intelligent Systems and Control. 
  30. Rao RN, Sridhar B. 2018. IoT based smart crop-field monitoring and automation irrigation system. pp. 478-483. In Proceedings of the Second International Conference on Inventive Systems and Control. 
  31. Ray DKD. 2020. Small states and pandemic: The UAE Approach. RSIS Series 152. Nanyang Technological University (NTU), Nanyang, Singapore. 
  32. Ren L, Wang W, Wang J, Liu R. 2015. Analysis of energy consumption and carbon emission during the urbanization of Shandong Province, China. Journal of Cleaner Production 103:534-541.  https://doi.org/10.1016/j.jclepro.2014.08.098
  33. Rizk ZS, Alsharhan AS. 2003. Water resources in the United Arab Emirates. Developments in Water Science 50:245-264.  https://doi.org/10.1016/S0167-5648(03)80022-9
  34. Samad WA, Azar E. 2019. Smart cities in the Gulf current state, opportunities, and challenges. pp. 85-106. Springer publishing, NY, USA. 
  35. Shahin SMR, Salem MA. 2014. Review future concerns on irrigation requirements of date palm tree in United Arab Emirates (UAE): Call for quick actions. pp. 255-262. In Proceedings of the Fifth International Date Palm Conference, Abu Dhabi, UAE. 
  36. Simonovic SP. 2002. World water dynamics: Global modeling of water resources. Journal of Environmental Management 66:249-267. 
  37. Skujins J. 1984. Microbial ecology of desert soils. pp. 49-91. In Advances in Microbial Ecology edited by Marshall KC. Advances in Microbial Ecology, vol 7. Springer, Boston, MA, USA. 
  38. Statista. 2021. Rice-statistics and facts, worldwide production of milled rice. Accessed in https://www.statista.com/topics/1443/rice/ on 23 April 2021. 
  39. Tang L, Zhu Y, Hannaway D, Meng Y, Liu L, Chen L, Cao W. 2009. A rice growth and productivity model. NJAS Wageningen Journal of Life Sciences 57:83-92.  https://doi.org/10.1016/j.njas.2009.12.003
  40. Valin H, Sands RD, Mensbrugghe DVD, Nelson GC, Ahammad H, Blanc E, Bodirsky B, Fujimori S, Hasegawa T, Havlik P, et al. 2014. The future of food demand: Understanding differences in global economic models. Agricultural Economics 45:51-67. 
  41. WWO (World weather online). 2020. Al-ain monthly climate averages, Abu Dhabi, UAE. Accessed in https://www.worldweatheronline.com/al-ain-weather-averages/abu-dhabi/ae.aspx on 30 April 2020.