Study on acoustic emitting testing mechanism of crop water stress and auto-irrigation based on the embedded system

Water is important to all lives. Plant life activity can carry on only in certain appropriate water status. However, drought is becoming the severe problem especially in north and northwest of China. By gathering and analyzing a great amount of data, we study acoustic emission mechanism of crop water stress. With tomato targeted, we explore the crop water stress mechanism of acoustic emission and study the realization of precision irrigation through extensive data analysis and theoretical inference. The important study purpose is to develop a mathematical model for predicting the relationship between crop acoustic emission, crop transpiration, soil water, air temperature and illumination. On the water conduction channel, plant water shortage leads to stream setting off. Then cavitations will occur in the xylem, and acoustic emission signals will also appear. So the acoustic emission rate can be used as an indicator of plant water status. After quantifying the relationship between the acoustic emission and the crop water status, we propose an optimal control algorithm and a mathematical model for the precision irrigation system. Through applying the algorithm and the model to an embedded monitoring system about irrigation, we provide a solution to water scarcity.