## 1 Introduction
In the actual application circumstance, the power consumption, node sides, and cost-effectiveness would be significant challenges, which would also restrict the selection and application in data transmission [22]. With the development of precision agriculture, traditional manual management and testing instruments were grandly replaced by the automatic developed smart terminal based on PC software like LabVIEW and LabWindows [23]. LabVIEW software from National Instruments (NI) Company is programmed by visual graphic G language. A development environment of LabVIEW creates flexible and scalable test and control applications. This software is able to make full use of computer resources to generalize instrument hardware, such as the expensive Data Acquisition (DAQ) board and related matching circuits. With the wide application range from basic interface to complicated signal processing, the sophisticated optimized program can be integrated into the background of the user interface to improve the compatibility and adaptation. Since the first greenhouse was established in China in the late 1970s, the crop yield from solar greenhouses has increased by more than 3400 km\({}^{2}\) from 1820 to 2010. With the further development of precision agriculture, this technique, which improves crop yield by artificially increasing CO\({}_{2}\) concentration, has increased economic profits by \(\sim\)30%, reported by the official assessment [1]. However, with the calibration of long-term monitoring of historical data of plants and utilization of trial and error, the optimized CO\({}_{2}\) concentration in the growth of crops still extremely depends on experience. Besides the crop yield, the CO\({}_{2}\) gas fertilization also has beneficial effects on the maturing period of crops and ability to resist diseases and pests. In sum, with a reliable monitoring system, automatic and accurate CO\({}_{2}\) fertilization is desired in the development of the greenhouse. What is more, this system regards accurate detection and control as the major purpose, and meanwhile tries to balance the benefit trade-off in reducing the engineering cost by optimizing measurement and control components. The smart WSN working mode based on RSSI (Received SignalStrength Indication) evaluation can adjust the transmission power automatically to increase the service life of the sensor nodes. In addition, the tolerable communication error rate can be ensured at the same time. With the basic support of monitoring and communication functions, the control facilities can realize a desired CO\({}_{2}\) concentration regulation based on Fuzzy proportional, integral, and derivative (Fuzzy-PID) in the greenhouse. The structure of this paper is organized as follows. In Section 2, the structure of this monitoring and control system is described, including a fabricated NDIR CO\({}_{2}\) sensor working as the sensor node in WSN and related Fuzzy-PID control. In Section 3, a series of experiments in the laboratory are carried out to evaluate the system. The Fuzzy-PID regulation function is designed and implemented based on LabVIEW. In Section 4, a field deployment is performed to prove the desired functions, including environmental information monitoring, reliable wireless communication, and required CO\({}_{2}\) concentration regulation. Finally, in Section 5, some conclusions are reached.