1993
DOI: 10.1016/0168-1699(93)90055-6
|View full text |Cite
|
Sign up to set email alerts
|

A review of sensing techniques which could be used to generate images of agricultural and food materials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
4
0

Year Published

1999
1999
2022
2022

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(4 citation statements)
references
References 36 publications
0
4
0
Order By: Relevance
“…The variation in reflectance from a material over a wavelength range due to the presence of different absorbing compounds can give an identifying signature that allows it to be distinguished from another material of similar colouration. This is a technique that has found a number of applications in the sorting and identifying of agricultural and food materials (Mohesenin, 1984;Bull, 1993;Bull et al, 1995). We show how observed differences in spectral reflection properties have been used to identify characteristic wavelengths which can be used to discriminate between lice and salmon skin.…”
Section: Introductionmentioning
confidence: 94%
“…The variation in reflectance from a material over a wavelength range due to the presence of different absorbing compounds can give an identifying signature that allows it to be distinguished from another material of similar colouration. This is a technique that has found a number of applications in the sorting and identifying of agricultural and food materials (Mohesenin, 1984;Bull, 1993;Bull et al, 1995). We show how observed differences in spectral reflection properties have been used to identify characteristic wavelengths which can be used to discriminate between lice and salmon skin.…”
Section: Introductionmentioning
confidence: 94%
“…Soil moisture plays a key role in the hydrological cycle by controlling processes, such as evapotranspiration, runoff, and recharge of aquifers, just to mention some of them [1][2][3]. Therefore, soil water content data are very useful for the application and evaluation of hydrological models that yield to irrigation programming and optimization [4].…”
Section: Introductionmentioning
confidence: 99%
“…Various techniques have been tested and commercially exploited for the detection of FBs, including magnetic field systems (metal detectors) (17), optical techniques (2,11), X-ray systems (9,22,28), electrostatic techniques (9), microwave imaging (3,5), near-infrared imaging (12,20), UV and fluorescence imaging (2,24), nuclear magnetic resonance (19), and ultrasonic imaging (4,8,21,27). Of these techniques, only magnetic systems (metal detectors), optical systems, and X rays have widespread use (3,7,9).…”
mentioning
confidence: 99%