Crop leaf image acquisition device

Abstract

The invention belongs to the technical field of specimen image acquisition equipment and particularly relates to a crop leaf image acquisition device. The crop leaf image acquisition device comprisesa lower box body, an upper cover, a camera arranged on the upper cover, light sources arranged on the lower box body and a computer connected with the camera. The device also comprises a storage platform. The storage platform comprises a cylindrical base body on the lower box body and a rotating disk on the base body. The base body is internally provided with a stepping motor. The upper plane of the lower box body is provided with through holes. The upper cover is provided with atomizing nozzles. The rotating disk is driven by the stepping motor to rotate to achieve an effect of adjusting angle of a leaf on the rotating disk. Water mist is sprayed into the upper cover through the atomizing nozzles to increase humidity in the upper cover, so that not only the service lives of the light sources and the stepping motor are prolonged, but also change of shape of the crop leaves caused since heat takes away water in the crop leaves is prevented.

Description

technical field [0001] The invention belongs to the technical field of specimen image collection equipment, and in particular relates to a crop leaf image collection device. Background technique [0002] Leaf is the main organ for photosynthesis in the growth process of crops, and it is the processing plant of nutrients needed by plants, which plays a very important role in the growth process. The nutritional content of the leaf itself directly indicates the nutritional status of the crop. Leaf is the main organ of photosynthesis. The size and shape of leaf directly affect the nutrient supply of crops. There have been many research results on leaf area in the application of computer vision and remote sensing technology to diagnose crop growth. The main component of leaf green is chlorophyll, the amount of chlorophyll directly affects the growth and development of crops. Through the correlation analysis of leaf color analysis and nutrient content, it is clearly pointed out ...

AI Technical Summary

Problems solved by technology

Existing crop leaf collection devices are equipped with a light source in the collection device, but the light source will generate heat for a long time, which cannot be dissipated, and will absorb the moisture of the crop leaves, thereby affecting the shape of the crop leaves, resulting in the collected image Can not accurately reflect the growth status of crops

Secondly, the existing crop leaf collection device provides a device for placing the leaves, which cannot be moved. If the angle of the leaves needs to be changed during the image collection process, the leaves need to be manually rotated, which is very inconvenient and the rotation angle is not accurate.

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