Method for grading quality of alfalfa hay by using near-infrared method experimental data

Abstract

The invention discloses a method for grading the quality of alfalfa hay by using near-infrared method experimental data. The method comprises a sampling step, a sample crushing step and a detection step. In the sampling step, handles on the two sides of a sampler are held by hands, and then, a sampling pipe arranged at the front end of the sampler goes deep into the bundled sample forage grass. Inthe sample crushing step, a forage grass sample in a sample bag is added into a crushing cavity from the upper end of small forage grass crushing equipment, the forage grass sample in the crushing cavity is crushed and then conveyed into a material storage cloth bag arranged on a discharging opening of the small forage grass crushing equipment in a sleeving manner through the discharging openingformed in the side wall of the small forage grass crushing equipment, and the sample is then transferred into the sample bag. In the detection step, a forage grass sample with the height being about 1 / 2 of the height of a sample cup is added into the sample cup from the sample bag, then the sample is compacted by using a cup cover, and scanning is performed by clicking a sample scanning option ona host connected with a near infrared spectrometer. The method has the advantages of high detection speed, low detection cost, safe detection process and good detection effect.

Description

technical field [0001] The invention belongs to the technical field of alfalfa hay processing equipment, in particular to a method for classifying the quality of alfalfa hay by using near-infrared method experimental data. Background technique [0002] Alfalfa is known as the "King of Grass". It not only has high yield, but also has excellent grass quality. All kinds of livestock and poultry like to eat it. The composition of alfalfa plays a very important role in its subsequent use. Basic analysis includes at least dry matter, crude protein, crude fiber, ADF, NDF and ADP, and some minerals, and usually measures parameters calculated from digestibility and energy availability. The traditional detection method of these data is through wet In the detection process, various chemical reagents are used, and in some procedures, harmful chemical substances are also involved. Not only the cost of protective measures in the use process is high, but also the cost of chemical reagents ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for grading the quality of alfalfa hay using the experimental data of the near-infrared method to solve the problems of slow detection speed, high detection cost, exposure to harmful substances and safety risks in the existing traditional detection methods. high technical issues

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