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1A novel and smart automatic light-seeking flowerpot for monitoring flower growth environment显示文摘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°.Xihai Zhang Dong Liu Chengguo Fan Jiali Du Fanfeng Meng Junlong Fang 2018International Journal of Agricultural and Biological Engineering2018,11,2:2
2Real-time remote monitoring system for aquaculture water quality显示文摘A multi-parameters monitoring system based on wireless network was set up to achieve remote real-time monitoring of aquaculture water quality,in order to improve the quality of aquaculture products and solve such problems as being difficult in wiring and high costs in current monitoring system.In the system solar cells and lithium cells were used for power supply.The YCS-2000 dissolved oxygen sensor,pH electrode,Pt1000 temperature sensor and ammonia nitrogen sensor were used to monitor the parameters of aquaculture water quality;STM32F103 chip was used for data processing;Zigbee and GPRS modules were used for data transmission to the remote monitoring center,where the data were stored and displayed.The system was connected with aerator to realize automatic control of dissolved oxygen concentration.The test results showed high confidence level of data transmission with a packet loss rate of 0.43%.Therefore,the system could fulfill the real-time remote monitoring of aquaculture water quality and had great practical significance in reduction of labor intensity,improvement of quality of aquatic products and protection of water environment.Luo Hongpin Li Guanglin Peng Weifeng Song Jie Bai Qiuwei 2015International Journal of Agricultural and Biological Engineering2015,8,6:2
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