Smartphone based precise monitoring method for farm operation

Wu Caicong, Zhou Lin, Wang Jie, Cai Yaping

Abstract


Although Global Navigation Satellite System (GNSS) terminal has been widely used for fleet management, it cannot satisfy the need of managing changes of laborer and implement during farm operation, which are important for social service cooperatives comparing to family farms in China. The objective of this study was to explore a precise, low cost and easy-to-use method for vehicle fleet management of large scale farm machinery cooperatives. A smartphone based application software (APP) named Precise Monitoring System (PMS) was developed to record the farm operation information including tractor, implement and laborer by scanning their Quick Response codes (QR codes), and obtain real time GNSS positions by using built-in GNSS chip of smartphone. Considering the convenience usage for farmers, only two buttons, “start/pause/continue” and “stop” were designed to record farm operation status. Finally, IDs, positions and operation status were combined and transferred to the server through GPRS/3G/4G. Two kinds of experiments were designed and conducted to verify the PMS. The results showed that PMS can realize the basic functions such as precise and real-time monitoring, operation quality tracing, operation mileage and operation area calculating, and U-turn processing. The method and APP could record complex combination of production factors precisely and accurately, which is suitable for the management of vehicle fleet, and can replace GNSS terminal to some extent.
Keywords: smartphone, agricultural machinery, farm operation, monitor, method, system
DOI: 10.3965/j.ijabe.20160903.2154

Citation: Wu C C, Zhou L, Wang J, Cai Y P. Smartphone based precise monitoring method for farm operation. Int J Agric & Biol Eng, 2016; 9(3): 111-121.

Keywords


smartphone, agricultural machinery, farm operation, monitor, method, system

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References


Wu C, Cai Y, Luo M, Su H, Ding L. Time-windows based temporal and spatial scheduling model for agricultural machinery resources. Transactions of the CSAM, 2013; 44(5): 237–241, 231. (in Chinese with English abstract)

Bochtis D D, Sørensen C G C, Busato P. Advances in agricultural machinery management: A review. Biosystems Engineering, 2014; 126(39): 69–81.

Calcante A, Mazzetto F. Design, development and evaluation of a wireless system for the automatic identification of implements. Computers and Electronics in Agriculture, 2014; 101(2): 118–127.

Srensen C G, Bochtis D D. Conceptual model of fleet management in agriculture. Biosystems Engineering, 2010; 105(1): 41–50.

Li H, Yao G, Chen L. Farm machinery monitoring and scheduling system based on GPS, GPRS and GIS. Transactions of the CSAE, 2008; 24 (Supp.2): 119–122. (in Chinese with English abstract)

Xiao Y. Design of multifunction GPS/GPRS vehicle terminal. In: Proc. International Conference on Manufacturing. Trans Tech Publications Ltd. Singapore. Advanced Materials Research, 2014; 909: 210–215.

Li C T, Han X W, Sun Y Z. Design of dynamic vehicle navigation terminal based on GPS/GPRS. In: Proc. ICMSE. Trans Tech Publications Ltd. Sanya, Hainan Island, China. Applied Mechanics & Materials, 2014; 472: 237–241.

Trimble. DCM-300 Modem. http://www.trimble.com/ Agriculture/dcm-300.aspx. Accessed on [2015-08-12].

Fountas S, Sorensen C G, Tsiropoulos Z, Cavalaris C, Liakos V, Gemtos T. Farm machinery management information system. Computers and Electronics in Agriculture, 2015; 110: 131–138.

Rovira-Más F, Chatterjee I, Sáiz-Rubio V. The role of GNSS in the navigation strategies of cost-effective agricultural robots. Computers and Electronics in Agriculture, 2015; 112: 172–183.

Zhou K, Jensen A L, Sorensen C G, Busato P, Bothtis D D. Agricultural operations planning in fields with multiple obstacle areas. Computers and Electronics in Agriculture, 2014; 109: 12–22.

Carballido J, Perez-Ruiz M, Emmi L, Agueera J. Comparison of positional accuracy between rtk and rtx gnss based on the autonomous agricultural vehicles under field conditions. Applied Engineering in Agriculture, 2014; 30(3): 361–366.

Jacobi J, Kühbauch W, Stafford J V. Site-specific identification of fungal infection and nitrogen deficiency in wheat crop using remote sensing. Precision agriculture '05. Papers presented at the 5th European Conference on Precision Agriculture, Uppsala, Sweden, 2005: 73–80.

Li M, Imou K, Wakabayashi K, Yokoyama S. Review of research on agricultural vehicle autonomous guidance. International Journal of Agricultural and Biological Engineering, 2009; 2(3): 1–16.

Wattonville J D. 7760 cotton picker. In: Proc. ASABE. ASABE. Providence, RI, United states, 2008; 4926–4942.

Thomson S J, Huang Y. Portable device to assess dynamic accuracy of global positioning system (GPS) receivers used in agricultural aircraft. International Journal of Agricultural and Biological Engineering, 2014; 7(2): 68–74.

Fang H, He Y. A Pocket PC based field information fast collection system. Computers and Electronics in Agriculture, 2008; 61(2): 254–260.

Bartlett A C, Andales A A, Arabi M, Bauder T A. A smartphone app to extend use of a cloud-based irrigation scheduling tool. Computers and Electronics in Agriculture, 2015; 111: 127–130.

Zheng L, Li M, Wu C, Ye H, Ji R, Deng X, et al. Development of a smart mobile farming service system. Mathematical and Computer Modelling, 2011; 54(3-4): 1194–1203.

Wu C, Fu C, Su H, Zheng L, Ji R, Hu Y. GPS-based information collection technology for agriculture mobile management. Transactions of the CSAM, 2009; 40(SUPPL. 1): 169–172, 209. (in Chinese with English abstract)

Wu C, Yang F, Wu Y, Geng J. Multimedia collection and management technology based on GPS. Geomatics and Information Science of Journal of Wuhan University, 2008; 33(8): 872–874, 879. (in Chinese with English abstract)

Tarjan L, Šenk I, Tegeltija S, Stankovski S, Ostojic G. A readability analysis for QR code application in a traceability system. Computers and Electronics in Agriculture, 2014; 109: 1–11.

Qian J, Yang X, Wu X, Xing B, Wu B, Li M. Farm and environment information bidirectional acquisition system with individual tree identification using smartphones for orchard precision management. Computers and Electronics in Agriculture, 2015; 116: 101–108.

Tang A, Wu C, Zheng L, Ji R, Chen X, Fu C. Wireless data

transmission technology for mobile agriculture terminal. Transactions of the CSAM, 2009; 40(SUPPL. 1): 244–247. (in Chinese with English abstract)

Cao T, Gao Y. Application of NMEA-0183 Protocol for GPS. Electronic Engineer, 2006; 32 (10): 8–11. (in Chinese with English abstract)

Cai Y, Wu C, Luo M, Su H. Automatic recognition method of operation status for agricultural machinery based on GNSS data mining. In: Proc. 3rd China Satellite Navigation Conference, CSNC 2012, May 15-19, 2012. Springer Verlag. Guangzhou, China, 2012; 2119–2123. (in Chinese with English abstract)

Watts S. NFC and 2FA: the death of the password? Network Security, 2015; 2015(7): 19–20.




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