Crop canopy image acquisition device based on situational awareness

Abstract

A crop canopy image acquisition device based on context awareness comprising: a bracket, a first vertical driving mechanism, a second vertical driving mechanism, a horizontally arranged first strut, a horizontally arranged second strut, a first soil moisture sensor, a second soil moisture sensor, a soil temperature sensor, a rainfall recorder, an air temperature and humidity sensor, a light intensity sensor, a grey plate, a wind speed sensor, an image acquisition device, an annular light source, an ultrasonic sensor, and a data processing system. The data processing system is for determining the height of the image acquisition device and the height of the grey plate, determining the weather status, adjusting the shoot frequency and shoot height of the image acquisition device, adjusting the shooting parameters of the image acquisition device including shutter speed, ISO sensitivity, focus distance and aperture value, and controlling operating parameters of the annular light source. The device can realize encryption continuous observation on crops, and allows researchers to grasp the key growth nodes, and phenological changes.

Description

technical field [0001] The invention relates to the technical fields of crop growth monitoring, image acquisition, etc., and in particular to a crop canopy image acquisition device based on scene perception. Background technique [0002] Crop canopy information (including coverage, greenness, leaf area, etc.) can comprehensively reflect the dynamic changes during the growth period of crops and characterize the growth status of crops, which is one of the important contents of crop growth monitoring in digital agriculture. [0003] At present, the research and application of digital agriculture are developing vigorously. As an important direction in the field of digital agriculture, the dynamic monitoring of crop growth has been highly valued by researchers. With the development of computer vision and graphics and image processing technology, digital image acquisition products are gradually When applied to the monitoring of crop growth process, researchers have made a lot of a...

AI Technical Summary

Problems solved by technology

Although Zhang Xuefen, Wang Xiufang and others have noticed the impact of precipitation, strong wind, heavy fog, and light on image quality, they only "eliminated" the "fuzzy" images taken under abnormal disaster weather conditions during image processing. To a certain extent, it affects the recording and analysis of the key nodes in the crop growth process and the process of disaster impact, reducing the accuracy and representativeness of the test results.

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