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Method and device for anal yzing agricul products

A decentralized, sample-point technology, applied in the direction of measuring devices, analyzing materials, using optical devices, etc., can solve problems such as slowing down the analysis process, limiting accuracy, and being difficult to obtain

Inactive Publication Date: 2004-03-24
MONSANTO TECH LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has limited effectiveness because uniform illumination of the sample is difficult to obtain
Non-uniform illumination of the sample results in areas with low image quality, which limits the accuracy of any information obtained from the system
Furthermore, the use of adjustable filters is time-consuming, which significantly slows down the analysis process

Method used

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  • Method and device for anal yzing agricul products
  • Method and device for anal yzing agricul products
  • Method and device for anal yzing agricul products

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0154] Develop a bulk grain calibration model according to the following procedure. A set of 96 bulk corn samples were screened based on the range of their chemical composition. Samples were obtained from 5 different oil sources and one protein source. The sample group includes basic lines, F1 lines, inbred lines, and double haploid lines. Sample weights range from 13 grams to 100 grams. Oil ranges from 4-13% (dry matter basis, DMB), protein from 9-24% (DMB), starch from 60-75% (DMB), and moisture from 9-14%.

[0155] Reference analytical data were obtained using a Tecator Infratec 1221 Grain Analyzer (Fos Tecator, P.O. Box 70, S-26321 Hoeganaes, Sweden) as well as a commercial calibration model for corn provided by the manufacturer. Tecator 1221 Grain Analyzer is a near-infrared slow-ray transmittance instrument. It has a built-in computer and uses Partial LeastSquares regression, based on Infrasoft Win-ISI software for calibration equation development. The instrument sc...

Embodiment 2

[0161]A set of 288 individual corn kernel samples was selected based on the range of their chemical composition. The sample set includes F1 lines, inbred lines, and double haploid lines. Sample weights range from 100 mg to 584 mg. Oil ranged from 0.4-19.3% (as-received basis, not corrected for moisture), protein was 7-17% ( dry weight basis) as estimated from bulk corn measurements using an Infratec 1221 Near Infrared spectrometer (Fos Tecator, P.O. Box 70, S-26321 Hoeganaes, Sweden).

[0162] The absolute oil concentration of each individual seed was determined using low-field NMR techniques. The process is non-destructive and harmless to the corn seed. The oil content of each seed was determined using a Maran Ultra-20 Benchtop NMR spectrometer (Resonance Research Inc., Oxford, England) with an 18 mm probe, and the resulting data were used to build a chemostatistical calibration model. Oil data from the spectrometer were not corrected for moisture. The method has a typic...

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Abstract

The present invention relates to apparatus and methods for analyzing agricultural products. More specifically, the present invention relates to devices and methods for real-time, non-destructive analysis of the physical and chemical properties of one or more seeds.

Description

technical field [0001] The present invention relates to devices and methods for analyzing agricultural products, and more particularly, the present invention relates to devices and methods for real-time, non-destructive analysis of the physical and chemical properties of one or more seeds. Background technique [0002] Breeding of agricultural products for compositional enhancement may require analysis of large numbers of seed samples from plants to identify plants with desired compositional and agronomic properties for use or development to the next generation. Analysis of bulk seed lots for traits such as high oil content or high protein quality on a single plant or ear, in combination with appropriate breeding methods such as recurrent selection, can often select for or introduce such traits into commercial populations. Although analysis of these seed batches can be performed by various techniques, methods that are fast, low-cost, and non-destructive are generally used. ...

Claims

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Application Information

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IPC IPC(8): G01B11/02G01B11/24G01N21/27
CPCG01N2021/8466G01N21/359G01N21/3563B07C2501/009
Inventor S·H·莫蒂安诺K·L·德佩曼恩
Owner MONSANTO TECH LLC
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