Rice lodging monitoring method using thermal infrared image

Abstract

The invention discloses a rice lodging monitoring method using a thermal infrared image. The method is as follows: 1, farmland image acquisition, to be more specific, fixed point acquisition by an unmanned aerial vehicle (UAV) carrying thermal infrared imaging equipment; 2, characteristic value extraction, to be more specific, extraction of a color characteristic value, a texture characteristic value and a temperature characteristic value of a target area by image analysis tool Matlab; 3, construction of a lodging region discrimination model, to be more specific, training of the rice lodging discrimination model by the characteristic values extracted by the step 2 and known lodging conditions; 4, calibration of the lodging discrimination model, to be more specific, collecting of more lodging rice and non lodging rice samples for calibration of the lodging discrimination model trained in the step 3; and 5, verifying of the lodging discrimination model, to be more specific, verifying ofthe lodging discrimination model calibrated by the step 4 by an independent sample. The method uses the thermal infrared image to identify the difference between a lodging area and a non lodging areaof rice, and provides an effective means for lodging monitoring of the rice.

Description

technical field [0001] The invention relates to a rice lodging monitoring method, in particular to a rice lodging monitoring method using thermal infrared images. Background technique [0002] Rice is the main food crop for human beings. The high and stable yield of rice is of great significance to global food security. However, a large number of studies have shown that lodging is an important factor that reduces the yield and quality of rice. Cultivate lodging-resistant varieties and study lodging-resistant cultivation techniques in the field of rice research. Never been ignored. Lodging monitoring has become an important task in the study of rice lodging, and the traditional lodging information acquisition method (manual method) requires investigators to go deep into the disaster area to measure the lodging area and location. For large-scale lodging disasters, its low work efficiency is often unable to meet the Actual demand. [0003] In recent years, the development of ...

AI Technical Summary

Problems solved by technology

However, when we use the influence of drones for lodging monitoring, we found that when using color features to monitor the spectrum, it will be affected by the level of fertilization

Using a three-dimensional structure to achieve lodging monitoring is more accurate, but the amount of calculation is large and the image acquisition time is long

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