Design and verification of wireless automatic drip irrigation system in corn field
Tóm tắt
An automatic drip irrigation system (ADIS) based on the LoRa protocol was developed and then evaluated in a corn field. The system is composed of an irrigation cloud platform, a base station, wireless nodes, soil moisture sensors and solenoid valves. The system was installed in a corn field and tested for the maximum communication distance during the sowing stage without a canopy. In addition, the wireless node power consumption and communication stability of the system on different corn growth stages were also tested. The data collected from the cornfield showed that maximum stable communication distance between the base station and the nodes was up to 1300 m at sowing stage without canopy obstructions. Although the average packet loss rate was about 10% at a distance of 1000 m when the maximum of crop’s leaf area index was reached at corn mature stage, the automatic drip system still could run successfully by means of three retransmissions in signal management. Besides, with a polling period of longer than 10 min, the lifetime of valve control node which was powered by a 6000 mA·h lithium battery could cover whole growth period of corn. In conclusion, the comprehensive irrigation performance of the ADIS reveals that the developed automatic drip irrigation system based on soil moisture feedback can meet the irrigation control requirements and irrigate the corn periodically with the appropriate amount.
Tài liệu tham khảo
McCown RL, Wall BH, Carberry PS (1990) Design and evaluation of an irrigation system for creating water gradients under an automatic rain shelter. Irrig Sci 11:189–195. https://doi.org/10.1007/BF00189457
Jaiswal S, Ballal MS (2020) Fuzzy inference based irrigation controller for agricultural demand side management. Comput Electron Agr 175:105537. https://doi.org/10.1016/j.compag.2020.105537
El-Naggar AG, Hedley CB, Horne D, Roudier P, Clothier BE (2020) Soil sensing technology improves application of irrigation water. Agr Water Manage 228(20):105901. https://doi.org/10.1016/j.agwat.2019.105901
Coates RW, Delwiche MJ, Broad A, Holler M (2013) Wireless sensor network with irrigation valve control. Comput Electron Agr 96(96):13–22. https://doi.org/10.1016/j.compag.2013.04.013
Navarro-Hellín H, Torres-Sánchez R, Soto-Valles F, Albaladejo-Pérez C, Domingo-Miguel RA (2015) wireless sensors architecture for efficient irrigation water management. Agr Water Manage 151:64–74. https://doi.org/10.1016/j.agwat.2014.10.022
Nam WH, Kim T, Hong EM, Choi JY, Kim JT (2017) A Wireless Sensor Network (WSN) application for irrigation facilities management based on Information and Communication Technologies (ICTs). Comput Electron Agr 143:185–192. https://doi.org/10.1016/j.compag.2017.10.007
Aqeel UR, Abbasi AZ, Islam N, Ahmed Z (2014) A review of wireless sensors and networks’ applications in agriculture. Comput Stand Inter 36(2):263–270. https://doi.org/10.1016/j.csi.2011.03.004
Huang W, Yang F (2020) Design of intelligent watering system of flower based on zigbee and WiFi. IOP Conference Series: Mater Sci Eng 768:042010. https://doi.org/10.1088/1757-899X/768/4/042010
Kumar P, Motia S, Reddy SRN (2023) Integrating wireless sensing and decision support technologies for real-time farmland monitoring and support for effective decision making. Int J Inf Tecnol 15:1081–1099. https://doi.org/10.1007/s41870-018-0218-9
Nabi F, Jamwal S, Padmanbh K (2022) Wireless sensor network in precision farming for forecasting and monitoring of apple disease: a survey. Int J Inf Tecnol 14:769–780. https://doi.org/10.1007/s41870-020-00418-8
Rajput A, Kumaravelu V (2019) Scalable and sustainable wireless sensor networks for agricultural application of Inter of things using fuzzy c-means algorithm. Sustain Comput: Inform Syst 22(7):62–74. https://doi.org/10.1016/j.suscom.2019.02.003
Rajput A, Kumaravelu V (2020) Fuzzy logic–based distributed clustering protocol to improve energy efficiency and stability of wireless smart sensor networks for farmland monitoring systems. Int J Commun Syst 33:e4239. https://doi.org/10.1002/dac.4239
Nikolidakis S, Kandris D, Vergados D, Christos D (2015) Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput Electron Agr 113:154–163. https://doi.org/10.1016/j.compag.2015.02.004
Tiglao N, Alipio M, Balanay J, Saldivar E, Tiston J (2020) Agrinex: A low-cost wireless mesh-based smart irrigation system. Measurement 161:107874. https://doi.org/10.1016/j.measurement.2020.107874
Ercan AM, Najmul M (2022) Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends. Ad Hoc Networks 136:102982. https://doi.org/10.1016/j.adhoc.2022.102982
Qiu M, Ming Z, Li J (2013) Informer homed routing fault tolerance mechanism for wireless sensor networks. J Syst Architect 59:260–270. https://doi.org/10.1016/j.sysarc.2012.12.003
Agarkhed J, Dattatraya PY, Patil S (2021) Multi-QoS constraint multipath routing in cluster-based wireless sensor network. Int J Inf Tecnol 13:865–876. https://doi.org/10.1007/s41870-020-00461-5
Deepakraj D, Raja K (2021) Markov-chain based optimization algorithm for efficient routing in wireless sensor networks. Int J Inf Tecnol 13:897–904. https://doi.org/10.1007/s41870-021-00622-0
Sharma N, Singh K, Singh BM (2020) A load based transmission control protocol for wireless sensor networks. Int J Inf Tecnol 12:577–583. https://doi.org/10.1007/s41870-018-0127-y
Kurumbanshi S, Rathkanthiwar S (2018) Increasing the lifespan of wireless adhoc network using probabilistic approaches: a survey. Int J Inf Tecnol 10:537–542. https://doi.org/10.1007/s41870-018-0177-1
Huang HJ, Zhang JB, Zhang X, Yi BS, Fan QL, Li F (2017) EMGR: Energy-efficient multicast geographic routing in wireless sensor networks. Comput Netw 129:51–63. https://doi.org/10.1016/j.comnet.2017.08.011
Xie J, Gao P, Wang W, Lu H, Xu X, Hu G (2018) Design of wireless sensor network bidirectional nodes for intelligent monitoring system of micro-irrigation in Litchi Orchards. IFAC-Papers On Line 51(17):449–454. https://doi.org/10.1016/j.ifacol.2018.08.176
Oliveira L, Rodrigues J, Kozlov SA, Rabêlo R, Furtado V (2019) Performance assessment of long-range and Sigfox protocols with mobility support. Int J Commun Syst 32:e3956. https://doi.org/10.1002/dac.3956
Fernando M, Thales T, Ana E, Luís H (2020) Experimental vs. simulation analysis of LoRa for vehicular communications. Comput Commun 160:299–310. https://doi.org/10.1016/j.comcom.2020.06.006
Florita NJB, Senatin ANM, Zabala AMA, Tan W (2020) Opportunistic Lora-based gateways for delay-tolerant sensor data collection in urban settings. Comput Commun 154:410–432. https://doi.org/10.1016/j.comcom.2020.02.066
Sciullo L, Trotta A, Di-Felice M (2020) Design and performance evaluation of a LoRa-based mobile emergency management system (LOCATE). Ad Hoc Net 96(1):101993.1-101993.17. https://doi.org/10.1016/j.adhoc.2019.101993
Nóbrega L, Gonçalves P, Pedreiras P, Pereira J (2019) An IoT-based solution for intelligent farming. Sensors 19:603. https://doi.org/10.3390/s19030603
Zhang XY, Lou XK, Zhang LX, Shan YC (2020) Irrigation remote control system based on LoRa intelligence. J Phys 1635:012067. https://doi.org/10.1088/1742-6596/1635/1/012067
Froiz-Míguez I, Lopez-Iturri P, Fraga-Lamas P, Celaya-Echarri M, Blanco-Novoa Ó, Azpilicueta L, Falcone F, Fernández-Caramés TM (2020) Design, implementation, and empirical validation of an IoT smart irrigation system for fog computing applications based on LoRa and LoRaWAN sensor nodes. Sensors 20:6865. https://doi.org/10.3390/s20236865
Sharma DK et al (2021) Gauss-sigmoid based clustering routing protocol for wireless sensor networks. Int J Inf Tecnol 13:2569–2577. https://doi.org/10.1007/s41870-019-00391-x
Liang R, Zhao L, Wang P (2020) Performance evaluations of LoRa wireless communication in building environments. Sensors 20(14):3828. https://doi.org/10.3390/s20143828
Nicoleta C, Paula H (2020) Forest Fire Detection System using LoRa Technology. Int J Adv Comput Sci Appl 11:5. https://doi.org/10.14569/IJACSA.2020.0110503
Swain M, Hashmi MF, Singh R, Hashmi AW (2021) A cost-effective LoRa-based customized device for agriculture field monitoring and precision farming on IoT platform. Int J Commun Syst 34:e4632. https://doi.org/10.1002/dac.4632
Lorite IJ, Santos C, García-Vila M, Carmona MA, Fereres E (2013) Assessing irrigation scheme water use and farmers’ performance using wireless telemetry systems. Comput Electron Agric 98:193–204. https://doi.org/10.1016/j.compag.2013.08.007
Zapata N, Salvador R, Cavero J (2013) Field test of an automatic controller for solid-set sprinkler irrigation. Irrig Sci 31:1237–1249. https://doi.org/10.1007/s00271-012-0397-2
Zheng L, Li M, Wu C, Ye H, Ji R, Deng X, Che Y, Fu C, Guo W (2011) Development of a smart mobile farming service system. Math Comput Model 54(3–4):1194–1203. https://doi.org/10.1016/j.mcm.2010.11.053
Sebastian S, Petros S (2020) Wireless technologies for agricultural monitoring using internet of things device with energy harvesting capabilities. Comput Elect Agric 172:105338. https://doi.org/10.1016/j.compag.2020.105338