A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment
Abstract
Although the flowerpot is widely used for indoor flowers, it cannot meet the needs of intelligent management during the uncared-for period. The objective of this study was to design a new microcontroller-based smart flowerpot. Its overall system was composed of three parts: information collection layer, automatic control layer and data transmission layer. Firstly, in the process of collecting information, the Laiyite criterion and the normalized weighted average algorithm were adopted to improve the accuracy of information collection. Secondly, for making precise control decisions, the fuzzy control was used to achieve automatic on-demand watering. Finally, the method for comparative analysis of regional light intensity was utilized to achieve light-seeking and light-supplementing. Experimental results showed that the smart flowerpot had strong anti-jamming performance for information collection, the relative soil moisture of flowers could be stably maintained near the optimum humidity (65%), and the light was well-distributed on the flower with the error angle of light-supplementing ranged from –3° to 3°. Keywords: smart flowerpot, automatic watering, seeking light, supplementing light control, microcontroller DOI: 10.25165/j.ijabe.20181102.2786 Citation: Zhang X H, Liu D, Fan C G, Du J L, Meng F F, Fang J L. A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment. Int J Agric & Biol Eng, 2018; 11(2): 184–189.References
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[21] Du R C, Gong B C, Liu N N, Wang C C, Yang Z D, Ma M J. Design and experiment on intelligent fuzzy monitoring system for corn planters. Int J Agric & Biol Eng, 2013; 6(3): 11–18.
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[24] 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.
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[2] Chen Y, Shi Y L, Wang Z Y, Huang L. Connectivity of wireless sensor networks for plant growth in greenhouse. Int J Agric & Biol Eng, 2016; 9(1): 89–98.
[3] Shukla S, Yu C Y, Hardin J D, Jaber F H. Wireless data acquisition and control systems for agricultural water management projects. Horttechnology, 2006; 16(4): 595–604.
[4] Feng Z G, Lam J, Yang G H. Optimal partitioning method for stability analysis of continuous/discrete delay systems. International Journal of Robust & Nonlinear Control, 2013; 25(4): 559–574.
[5] Wu T L, Wang Z Y, Zheng J H, Yu L, Bi C G. The design of intelligent flowerpot based on ARDUINO. Agriculture Network Information, 2016; 2: 34–37. (in Chinese)
[6] Lea-Cox J D, Belayneh B E. Implementation of sensor-controlled decision irrigation scheduling in pot-in-pot nursery production. Acta Horticulturae, 2014; (1034): 93–100.
[7] Zhang Z Q, Zhang W A, Wang Q, Zou W. Design and experiment of potted plants automatic irrigation system—based on PLC. Journal of Agricultural Mechanization Research, 2014; 10: 112–114, 119. (in Chinese)
[8] Ji J X. Study on remote wireless smart pot system based on ZIGBEE+MQTT. International Journal of Future Generation Communication and Networking, 2016; 9(5): 1–8.
[9] Zhang J, Chen J, Cai Z J. Greenhouse temperature collection based on multi-sensor date fusion technology. Microcomputer Information, 2007; 01S: 153–154. (in Chinese)
[10] Fan D H, Li X L. Application of normalized weighted average algorithm in temperature acquisition system. Mechanical Engineering and Automation, 2012; 3: 115–116, 118. (in Chinese)
[11] Yan H, Tang Z J, Xing Z, Gao D N, Hong H X. Design of soil moisture distribution sensor based on high-frequency capacitance. Int J Agric & Biol Eng, 2016; 9(3): 122–129.
[12] Munyaradzi M, Rupere T, Nyambo B, Mukute S, Chinyerutse M, Hapanga T B, et al. A low cost automatic irrigation controller driven by soil moisture sensors. International Journal of Agriculture Innovations and Research, 2013; 2(1): 1–7.
[13] Sun Y R, Dao-Kun M A, Lin J H, Lammer P S, Damerow L. An improved frequency domain technique for determining soil water content. Pedosphere, 2005; 15(6): 805–812.
[14] Soulis K X, Elmaloglou S, Dercas N. Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems. Agricultural Water Management, 2015; 148: 258–268.
[15] Martin D E, Lopez Jr J D, Lan Y B. Laboratory evaluation of the Green SeekerTM handheld optical sensor to variations in orientation and height above canopy. Int J Agric & Biol Eng, 2012; 5(1): 43–47.
[16] Martin K L, Girma K, Freeman K W, Teal R K, Tubańa B, Arnall D B, et al. Expression of variability in corn as influenced by growth stage using
optical sensor measurements. Agronomy Journal, 2007; 99(2): 384–389.
[17] Kim Y, Evans R G, Waddell J. Evaluation of in-field optical sensor for nitrogen assessment of barley in two irrigation systems. ASAE Section Meeting, Alberta, Canada, 2005.
[18] Xu T Y, Qin X S. A sequential fuzzy model with general-shaped parameters for water supply-demand analysis. Water Resources Management, 2015; 29(5): 1431–1446.
[19] Sakthivel R, Sundareswari K, Mathiyalagan K, Santra S. Reliable H∞, stabilization of fuzzy systems with random delay via nonlinear retarded control. Circuits, Systems, and Signal Processing, 2016; 35(4): 1123–1145.
[20] Sun J, Zhang M X, Li Z M, Wu X H. Simulation of smith fuzzy PID temperature control in enzymatic detection of pesticide residues. Int J Agric & Biol Eng, 2015; 8(1): 50–56.
[21] Du R C, Gong B C, Liu N N, Wang C C, Yang Z D, Ma M J. Design and experiment on intelligent fuzzy monitoring system for corn planters. Int J Agric & Biol Eng, 2013; 6(3): 11–18.
[22] Han W T, Xu Z Q, Zhang Y, Chen X W, Ooi S K. Real-time remote monitoring system for crop water requirement information. Int J Agric & Biol Eng, 2014; 7(6): 37–46.
[23] Mathiyalagan K, Sakthivel R, Marshal Anthoni S. Exponential stability result for discrete-time stochastic fuzzy uncertain neural networks. Physics Letters A, 2012; 376(8-9): 901–912.
[24] 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.
[25] Riquelme J A, Soto F, Sanchez P, Iborra A, Vera J A. Wireless sensor networks for precision horticulture in southern Spain. Computers and Electronics in Agriculture, 2009; 68(1): 25–35.
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Published
2018-03-31
How to Cite
Zhang, X., Liu, D., Fan, C., Du, J., Meng, F., & Fang, J. (2018). A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment. International Journal of Agricultural and Biological Engineering, 11(2), 184–189. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/2786
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Information Technology, Sensors and Control Systems
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