摘要：Intelligent greenhouse monitoring technique is an efficient agricultural control technique emerging recently. The threshold value control of the switching value is the most-adopted greenhouse control method. Due to unique characteristics of greenhouse, the existing monitoring style cannot meet the great demand of greenhouse for intensive monitoring. Concerning the monitoring demands of the greenhouse and based on the technique of Internet of Things, this paper introduces the multisensory fusion technique to the intelligent greenhouse monitoring system. The greenhouse environmental monitoring system based on ZigBee is built, and a two-layer fusion method of “sensor+aggregation node” is put forward. The Kalman filtering method and the weighted average method are employed to conduct sensor node fusion and aggregation node fusion, respectively. An experiment is carried out to verify the built model with the experimental results suggesting that the two-layer fusion method can improve the measurement accuracy and stability of the greenhouse environmental monitoring system.
关键词：Internet of Things; wireless sensor networks; Kalman filtering; data ;fusion; greenhouse environmental monitoring
