Farmland canopy temperature distribution monitoring device

Abstract

The invention discloses a farmland canopy temperature distribution monitoring device which comprises a mounting tower, a supporting frame, a spherical mirror, an infrared camera, a data transmission module and an image processing module. The mounting tower is fixed in a field. The supporting frame is fixed at the top of the mounting tower. The spherical mirror is fixed on the support frame, and the spherical side faces downwards. The infrared camera is fixed on the support frame, located below the spherical mirror and used for shooting spherical mirror imaging, and the data transmission moduleis connected with the infrared camera and used for transmitting shot image information to a field gateway or a server. The image processing module is connected with a field gateway or a server and used for obtaining spherical mirror images shot by the infrared camera, conducting image distortion correction and converting the images into canopy temperature distribution graphs through a preset relation function of infrared light wavelengths and canopy temperature values. Compared with the prior art, the farmland canopy temperature distribution monitoring device can continuously monitor the farmland canopy temperature and can also consider the field scale coverage rate.

Description

technical field [0001] The invention relates to the technical field of canopy temperature monitoring, in particular to a monitoring device for canopy temperature distribution in farmland. Background technique [0002] Canopy temperature is an important basis for diagnosing crop water shortage. Based on the indicators related to crop canopy temperature, the water state of crops can be quantitatively evaluated, and then irrigation decision-making and automation can be realized. These indicators include: temperature time threshold, which triggers irrigation when the canopy temperature is higher than a set threshold and exceeds a certain period of time; crop water stress index, which is an indicator based on the difference between crop canopy temperature and air temperature , and is related to the air humidity; the temperature index day is an index related to the difference in canopy temperature between stressed and non-stressed crops. When using these indicators to make irriga...

AI Technical Summary

Problems solved by technology

When using these indicators to make irrigation decisions, it is often only possible to continuously measure the canopy temperature over a small area (continuously because the decision-making needs to know the duration of the canopy temperature exceeding the threshold, such as the above-mentioned temperature time threshold method, of course, the crop water stress method also decides to irrigate by observing whether the index exceeds the specified time in a day), and the canopy temperature distribution in the field space cannot be grasped, so it is not possible to comprehensively consider the overall situation of the field for irrigation Decision-making, the decision-making scheme based on the data at one point may not be able to give full play to the beneficial effects of water saving and grain increase due to field variability

[0003] Unmanned aerial vehicles (UAVs) are widely used in large-scale farmland at present. Although the infrared camera loaded on UAVs can greatly improve the spatial coverage of the acquired canopy temperature, the time resolution is very low, that is, it cannot The continuous monitoring of the canopy temperature of farmland on this large scale has great defects in the effectiveness of decision-making indicators based on canopy temperature.

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