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Proceedings of SPIE Volume 1836

Optics in Agriculture and Forestry
Editor(s): James A. DeShazer; George E. Meyer
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Volume Details

Volume Number: 1836
Date Published: 12 May 1993
Softcover: 29 papers (318) pages
ISBN: 9780819410375

Table of Contents
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How the color of an object influences its area measurement by digital imaging
Author(s): Robert A. Taylor
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Near-infrared spectrophotometry for soil property sensing
Author(s): Kenneth A. Sudduth; John W. Hummel
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Time effects on near-infrared imaging for detecting bruises on apples
Author(s): Bruce L. Upchurch; James A. Throop
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Near-IR and color imaging for bruise detection on Golden Delicious apples
Author(s): James A. Throop; Daniel J. Aneshansley; Bruce L. Upchurch
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Classifying diseased poultry carcasses by visible and near-IR reflectance spectroscopy
Author(s): Yud-Ren Chen
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Classifying wood-surface features using dichromatic reflection
Author(s): Alberto G. Maristany; Patricia K. Lebow; Charles C. Brunner; David A. Butler; James W. Funck
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Determination of wheat kernel hardness by optical measurements
Author(s): Stephen R. Delwiche
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Color classification of corn germplasm using computer vision
Author(s): Suranjan Panigrahi; Manjit K. Misra
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Digital image analysis of starch granules for recognizing hard red and soft red winter wheats
Author(s): Inna Y. Zayas; D. B. Bechtel; J. D. Wilson; Richard E. Dempster
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Machine recognition of weevil damage in wheat radiographs
Author(s): Pamela M. Keagy; Thomas F. Schatzki
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Ultrasonic image analysis for beef tenderness
Author(s): Bosoon Park; Brian R. Thane; A. Dale Whittaker
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Grain velocity measurement using a linear image sensor
Author(s): Changhe Chen; Michael F. Kocher; David D. Jones
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Nonlint material identification using computer vision and pattern recognition
Author(s): Michael A. Lieberman; Rajendra B. Patil
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In-flight digital image analysis of sprinkler drops
Author(s): Richard D. Hawkes; Derrel L. Martin; George E. Meyer
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Line-scan inspection of conifer seedlings
Author(s): Michael P. Rigney; Glenn A. Kranzler
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Machine vision seedling measurement using multiple cameras
Author(s): Vladimir N. Ruzhitsky; Peter P. Ling
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Measurement of seedling growth rate by machine vision
Author(s): M. Scott Howarth; Phillip C. Stanwood
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Selection of Norway spruce somatic embryos by computer vision
Author(s): Jari J. Hamalainen; Kari J. Jokinen
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Plant species identification, size, and enumeration using machine vision techniques on near-binary images
Author(s): David M. Woebbecke; George E. Meyer; Kenneth Von Bargen; David A. Mortensen
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Spectral band selection for color machine vision used for plant identification
Author(s): Geoffrey J. Shropshire; Cees Glas
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Red/near-infrared reflectance sensor system for detecting plants
Author(s): Kenneth Von Bargen; George E. Meyer; David A. Mortensen; Steven J. Merritt; David M. Woebbecke
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Neural network classification of sweet potato embryos
Author(s): Enrique Molto; Roy C. Harrell
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Optics for produce quality evaluation: laser diffusion for orange peel thickness measurement
Author(s): Henry A. Affeldt; Richard D. Heck
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Application of smart submunition technology to agribusiness
Author(s): Richard J. Wangler; Robert E. McConnell; Keith L. Fowler
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Grading of flour based on color information
Author(s): Harri K. Kopola; Elzbieta A. Marszalec; Risto A. Myllylae
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Sensitive optical method monitors diameter changes in Oxalis seedling axes
Author(s): Donovan D. Thomas; Andreas Vamvakas; Walter P. T. North
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Considerations for implementing machine vision for detecting watercore in apples
Author(s): Bruce L. Upchurch; James A. Throop
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Identifying and classifying damaged peanut kernels using ultraviolet, visible, and infrared sensors
Author(s): Floyd E. Dowell; William R. Windham
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Far-infrared irradiation experiments with paddy rice, soybeans, wheat, and drosophila melanogasters
Author(s): Shao-zhi Yan; Shouren Xiong; Jinwen Su
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