Remote monitoring system for maize seeding parameters based on Android and wireless communication
Keywords:
remote monitoring system, maize seeding parameters, Android and wireless communication, remote synchronous monitoring, intelligent agricultureAbstract
Most traditional maize seeding parameter monitoring devices use wired data transmission. The problems include wiring troubles, short transmission distances. And human-computer interaction display terminals are unique and usually customized rather than universal. A remote monitoring system for maize seeding parameters based on Android and wireless communication was developed in this study. The system used a single-chip microcomputer as the main controller and an infrared photoelectric sensor to capture seed information. The Android terminal application was used to set and display the seeder’s seed parameter information and monitor it. The Air202 communication module enabled remote data transmission, while the Global Positioning System (GPS) monitored the speed of the planter. By establishing a message queue telemetry transmission (MQTT) cloud served as a data freight station, data reception, storage and forwarding can be performed. Seeding parameters can generate Excel spreadsheets in real-time for easy data processing and storage. In order to verify the reliability of the system, the seeding parameter monitoring comparison test and the multi-terminal remote monitoring test were designed. The results of the seeding parameter monitoring comparison test showed that the monitoring system of this study had higher monitoring accuracy. The maximum average relative error of seeding parameter monitoring was 0.4%, which had high monitoring accuracy. The multi-terminal remote monitoring test showed that the monitoring system of this research can adapt many types of Android terminals, realize the wireless connection, and realize remote synchronous monitoring at different distances. This study provides a reference for intelligent remote monitoring and intelligent agriculture on unmanned farms. Keywords: remote monitoring system, maize seeding parameters, Android and wireless communication, remote synchronous monitoring, intelligent agriculture DOI: 10.25165/j.ijabe.20201306.5485 Citation: Xie C J, Zhang D X, Yang L, Cui T, Zhong X J, Li Y H, et al. Remote monitoring system for maize seeding parameters based on Android and wireless communication. Int J Agric & Biol Eng, 2020; 13(6): 159–165.References
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[17] Karayel D, Wiesehoff M, Özmerzi A, Müller J. Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Comput. Electron. Agric., 2006; 50: 89–96.
[18] Kumar R, Raheman H. Detection of flow of seeds in the seed delivery tube and choking of boot of a seed drill. Comput. Electron. Agric., 2018; 153: 266–277.
[19] He X T, Hao Y L, Zhao D Y, Zhao D X, Cui T, Yang L. Design and experiment of testing instrument for maize precision seed meter’s performance detection. Transactions of the CSAM, 2016; 47(10): 19–27. (in Chinese)
[20] Ji C, Chen X G, Chen J C, Wang S G, He P L. Monitoring system for working performance of no-tillage corn precision seeder. Transactions of the CSAM, 2016; 47(8): 1–6. (in Chinese)
[21] Qiu Z M, Zhang W P, Zhao B, Ji J T, Jin X, He Z T. Design and test of operation quality monitoring system for small grain electric seeder. Transactions of the CSAM, 2019; 50(4): 77–83.(in Chinese)
[22] ISO Standard 7256/1-1984(E): Sowing equipment-Test methods Part 1: Single seed drills (precision drills). Geneva, Switzerland: International Organization for Standardization, 1984.
[23] China National Standard. Standardization Administration and General Administration of Quality Supervision, Inspection and Quarantine. Testing methods of single seed drills (precision drills), 2005; GB/T 6973–2005.
[2] Ding L, Yang L, Wu D H, Li D Y, Zhang D X, Liu S R. Simulation and experiment of corn air suction seed metering device based on DEM-CFD coupling method. Transactions of the CSAM, 2018; 49(11): 48–57. (in Chinese).
[3] Li Y H, Yang L, Han Y, Zhang D X, Cui T. Design and experiment of spoon-clamping type metering device for Faba beans. Transactions of the CSAM, 2018; 49(S1): 108–116. (in Chinese).
[4] Yan B X, Zhang D X, Cui T, He X T, Ding Y Q. Design of pneumatic maize precision seed-metering device with synchronous rotating seed plate and vacuum chamber. Transactions of the CSAE, 2017; 33(23): 15–23. (in Chinese).
[5] Karimi H, Navid H, Besharati B, Eskandari I. Assessing an infrared-based seed drill monitoring system under field operating conditions. Comput. Electron. Agric., 2019; 160: 543–551.
[6] Okopnik D L, Falate R. Usage of the DFRobot RB-DFR-49 infrared sensor to detect maize seed passage on a conveyor belt. Comput. Electron. Agric., 2014; 102: 106–111.
[7] Raheman H, Kumar R. An embedded system for detecting seed flow in the delivery tube of a seed drill. In: Proceedings of International Conference on Advances in Chemical, Biological & Environmental Engineering (ACBEE), 2015; pp.236–241.
[8] Karimi H, Navid H, Besharati B, Behfar H, Eskandari I. A practical approach to comparative design of non-contact sensing techniques for seed
flow rate detection. Comput. Electron. Agric., 2017; 142: 165–172.
[9] Okan O, Ismet O. Development of a computerized measurement system for in-row seed spacing accuracy. Turk. J. Agric. For., 2009; 33(2): 99–109.
[10] Besharatia B, Navida H, Karimia H, Behfara H, Eskandarib I. Development of an infrared seed-sensing system to estimate flow rates based on physical properties of seeds. Comput. Electron. Agric., 2019; 162: 874–881.
[11] Kostića M, Rakićb D, Radomirovića D, Savina L, Dedovića N, Crnojevićc V, et al. Corn seeding process fault cause analysis based on a theoretical and experimental approach. Comput. Electron. Agric., 2018; 151: 207–218.
[12] Hao Y, Cui T X, Bora G S, Zhang D, Wei J, He X, et al. Development of an instrument to measure planter seed meter performance. Applied Engineering in Agriculture, 2018; 33(1): 31–40.
[13] Wu N, Lin J, Li B J, Zhou Y M. Design and test on performance monitoring system of No-tillage planter seed-metering device. Transactions of the CSAM, 2016; 47(S1): 69–75. (in Chinese)
[14] Sun Y J, Shen J X, Dou Q Q, Li Q L, Chen G, Sun Y T. Design and test of monitoring system of no-tillage planter based on Cortex-M3 processor. Transactions of the CSAM, 2018; 49(8): 50–58. (in Chinese)
[15] Che Y, Wei L G, Liu X T, Li Z L, Wang F Z. Design and experiment of seeding quality infrared monitoring system for no-tillage seeder. Transactions of the CSAE, 17; 33(S1): 11–16. (in Chinese)
[16] Huang D H, Zhu L T, Jia H L, Yu T T, Yan J. Remote monitoring system for core seeding quality based on GPS and GPRS. Transactions of the CSAE, 2016; 32(6): 162–168. (in Chinese)
[17] Karayel D, Wiesehoff M, Özmerzi A, Müller J. Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Comput. Electron. Agric., 2006; 50: 89–96.
[18] Kumar R, Raheman H. Detection of flow of seeds in the seed delivery tube and choking of boot of a seed drill. Comput. Electron. Agric., 2018; 153: 266–277.
[19] He X T, Hao Y L, Zhao D Y, Zhao D X, Cui T, Yang L. Design and experiment of testing instrument for maize precision seed meter’s performance detection. Transactions of the CSAM, 2016; 47(10): 19–27. (in Chinese)
[20] Ji C, Chen X G, Chen J C, Wang S G, He P L. Monitoring system for working performance of no-tillage corn precision seeder. Transactions of the CSAM, 2016; 47(8): 1–6. (in Chinese)
[21] Qiu Z M, Zhang W P, Zhao B, Ji J T, Jin X, He Z T. Design and test of operation quality monitoring system for small grain electric seeder. Transactions of the CSAM, 2019; 50(4): 77–83.(in Chinese)
[22] ISO Standard 7256/1-1984(E): Sowing equipment-Test methods Part 1: Single seed drills (precision drills). Geneva, Switzerland: International Organization for Standardization, 1984.
[23] China National Standard. Standardization Administration and General Administration of Quality Supervision, Inspection and Quarantine. Testing methods of single seed drills (precision drills), 2005; GB/T 6973–2005.
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Published
2020-12-03
How to Cite
Xie, C., Zhang, D., Yang, L., Cui, T., Zhong, X., Li, Y., … Ding, Z. (2020). Remote monitoring system for maize seeding parameters based on Android and wireless communication. International Journal of Agricultural and Biological Engineering, 13(6), 159–165. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/5485
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Information Technology, Sensors and Control Systems
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