Device and method for detecting field corn plant leaf threonine content

Abstract

The invention relates to the technical field of optical spectrum detection, in particular to a device and a method for detecting field corn plant leaf threonine content. The device comprises a hanging device, an electric drive trolley and a data processing module, the hanging device comprises a right-angle stretching arm, a universal joint and a bent blade hanging arm, the electric drive trolley comprises a frame, a power device, wheels and a miniature direct-current motor, the data processing module is mounted on a vertical column in the front of the frame, and the hanging device is connected with the electric drive trolley through a connecting rod. The detection method includes the steps: (a) preparing equipment; (b) correcting an optical spectrum whiteboard; (c) adjusting an optical spectrum collecting angle; (d) calculating physical and chemical values. The corn plant leaf threonine content is detected on site, detection in a laboratory is omitted, detecting efficiency is high, corn leaves can be all-dimensionally measured, better measuring angles can be obtained according to natural growth forms of different corn leaves, optical spectrum data in the front and at the back of the leaves are acquired, and the whole device is simple, practical, low in cost and easy to popularize.

Description

Technical field [0001] The invention relates to the field of spectral detection of crop leaves, in particular to a detection device for the threonine content of leaves of corn plants in the field. Background technique [0002] Corn fruit contains a lot of nutrients such as protein, sugar, fat, vitamins and trace elements selenium and magnesium. Therefore, corn is very popular among the people in our country, and the annual output is very large. The threonine content in corn leaves is an important physiological index during the growth of corn. Threonine has a wide range of uses in medicine, food and chemical industries. In particular, the amount of feed additives has grown rapidly. It is often added to the feed of juvenile piglets and poultry. It is the second restricted amino acid in pig feed and the third restricted amino acid in poultry feed. Adding threonine to the compound feed has the following characteristics: 1. It can adjust the amino acid balance of the feed and promot...

AI Technical Summary

Problems solved by technology

[0003] The determination of threonine content in corn leaves is still mainly determined by chemical methods. This method requires destructive treatment of crops, which is time-consuming, laborious, and requires more labor costs. The analysis process involves more mechanical operations, and is generally not suitable for A large number of samples are analyzed, and it is not suitable for live detection of threonine content in corn leaves. It is difficult to meet the requirements of rapid and dynamic monitoring of digital agriculture and agricultural Internet of Things information. Taking into account the accuracy of measurement data, convenient operation, and environmental protection and pollution-free characteristics, the use of spectral technology has been applied to a certain extent

[0004] Due to the different growth shapes of corn leaves, on-site measurement has high requirements on the projection angle of the light source and the incident angle of the spectral probe. The existing methods for spectral detection of threonine content in corn leaves mostly use picking new leaves and bagging them with crushed ice to keep them fresh to prevent leaves from deteriorating. In order to affect the accuracy of spectral measurement of threonine content, the real-time requirements for measuring threonine content are high

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