Wenbin Dai¹, Lina Wang^1,2,*, Binrui Wang¹, Xiaohong Cui¹, Xue Li¹

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2283-2296, 2022, DOI:10.32604/phyton.2022.021096

Abstract Temperature in agricultural production has a direct impact on the growth of crops. The emergence of greenhouses has improved the impact of the original unpredictable changes in temperature, but the temperature modeling of greenhouses is still the main direction at present. Neural network modeling relies on sufficient actual data to model greenhouses, but there is a widening gap in the application of different neural networks. This paper proposes a greenhouse temperature prediction model based on wavelet neural network with genetic algorithm (GA-WNN). With the simple network structure and the nonlinear adaptability of the wavelet basis function, wavelet neural network (WNN)… More >

Xuejun Tian, Jianliang Li, Lihua Luo

Computer Systems Science and Engineering, Vol.33, No.5, pp. 317-326, 2018, DOI:10.32604/csse.2018.33.317

Abstract In this paper, the wireless network communication system based on ZigBee protocol is design using CC2530 chip as the processor together with front-end CC2530. In the system, the temperature and humidity information collected by DHTII temperature and humidity sensor is gathered and processed by CC2530 chip; the data of temperature and humidity sent back by the receiving nodes of main module will be sent to the upper compouter by serial assistant; then the upper computer recieves and displays the data so that users can check them conveniently. The application of the aforementioned ZigBee wireless communication technology in greenhouse is quite… More >