Plant leaves moisture detecting based on zigbee network

Abstract. The accurate and rapid detection of moisture content in the leaves of plants is an important prerequisite for giving scientific irrigation guidance. Based on Near Infrared Spectroscopy, a fast, efficient and accurate moisture content detection device was developed. The device‘s main chip was JN5168 which integrated RF transceiver. The device consisted of four modules: data acquisition module, data processing module, data transmission module and data receiver module. The data acquisition module consisted by the active light source, optical sensors, the light sources select 890nm 970nm two near spectral band which are sensitive to moisture; the data processing module consisted by the operational amplifier circuit and filter circuit, the data would be amplified and filtered by two circuits; data transmission and data receiver module complete the wireless transmission of data through 802.15.4 ZigBee network. Experiments established a linear regression prediction model, when moisture content less than 78%, the model coefficient of determination Rc² is 0.49; when moisture content greater than 0.78, the modeling variance Rc² is 0.55, this model embedded system to provide the support for plant leaf water measurements.