The invention discloses a northern corn leaf
blight early warning method and
system based on
data analysis, and relates to the technical field of agricultural
disease early warning, and the main scheme is as follows: a
data acquisition module acquires meteorological data, planting density data,
pathogenic bacteria transmission data and physiological status data of corn growth in real time; the method comprises the following steps that: a
data analysis module analyzes various data to obtain a meteorological
influence coefficient # imgabs0 #, a planting density
influence coefficient # imgabs1 #, a pathogenic bacterium
propagation rate # imgabs2 # and a physiological state
influence coefficient # imgabs3 #, an early warning issuing module calculates a northern leaf
blight influence index # imgabs4 # according to the coefficients, whether risk early warning is triggered or not is judged and a protection instruction is generated, and a user interaction module receives early warning data and sends the early warning data to a control module. Early warning information and a
data labeling graph are displayed, an early warning analysis report is generated, related personnel are notified through mails, short messages or systems, comprehensive, accurate and timely corn northern leaf
blight early warning is achieved, and powerful guarantee is provided for agricultural production.