The invention relates to the sensor data processing technology field and particularly relates to a data fusion and intelligent searching processing method for multiple data sources, and an application. According to the method, sensors are arranged in a planar layout, the sensors are arranged on one same plane to form a sensing network, data fusion comprises data fusion through multiple same-type sensors and data fusion through multiple different-type sensors, data characteristics and data types of the sensors are acquired by employing a polling mode, redundancy processing on the data is carried out when acquisition is carried out by an acquisition node, and an self-adaptive algorithm based on batched estimation is employed. Through the method, the data of each sensor is dynamically acquired, the identification time of a system for the sensor data is prolonged, data precision is improved, data accuracy is improved, identification reliability of the system is improved, the method is suitable for occasions having a relatively large quantity of same-type sensors, relatively large data amount and same-type-sensor-in-one-same-plane layout, and data fusion in plantation environments and farmland climate monitoring multi-sensor environments can be realized through the method.