Abstract. Environmental Monitoring Systems and Sensors systems have increased in importance over the years. However, increases in measurement points mean increases in installation and maintenance cost. Not to mention, the measurement points once they have been built and installed, can be tedious to relocate in the future. Surely, with the technology of today, there is a better way to overcome this problem. The chapter will present the development work of a Wi-Fi based Smart Wireless Sensor Network for monitoring an Agricultural Environment. The system is capable of intelligently monitoring agricultural conditions in a pre-programmed manner. The system consists of three stations: Sensor Node, Router, and Server. The system is designed for monitoring of the climate condition in an agricultural environment such as field or greenhouse, the sensor station is equipped with several sensor elements such as Temperature, humidity, light, air pressure, soil moisture and water level. In addition investigation was performed in order to integrate a novel planar electromagnetic sensor for nitrate detection. The communication between the sensor node and the server is achieved via 802.11g wireless modules.
The main objective of the present work is to develop a low-cost system for detection of nitrate and contamination in natural water resources based on a planar electromagnetic sensor. The functions and attributes of the low cost system based on planar meander and interdigital structure are discussed. The performance of the system was observed where the sensor was tested with two aqueous solutions of nitrates forms namely, sodium nitrates (NaNO 3 ) and ammonium nitrates (NH 4 NO 3
Keywords-component; low cost system; nitrate detection; contamination detection; planar electromagnetic sensors; style; water supply;), each of different concentration between 5 mg and 20 mg dissolved in 1 litre of mili-q water. Furthermore, it was also tested with various kinds of natural water samples taken from natural sources around New Zealand. The results from the first set of experiments show good linear correlations with the amount of concentration of nitrate forms in mili-q water. Favourably, the second experiment's outcomes involving the water sample taken from various places around New Zealand also show a good correlation of contamination level as compared with results obtained from Nuclear Magnetic Resonance (NMR) measurement. The improvements for future consideration are also discussed.I.
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