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Apparatus for Automatic Measurement of Kernel Weight, Length, and Thickness
Author(s) -
Paige D.,
Geng S.,
Jongkaewwattana S.
Publication year - 1991
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1991.0011183x003100050046x
Subject(s) - kernel (algebra) , software , measure (data warehouse) , computer science , oryza sativa , orientation (vector space) , kernel method , data mining , artificial intelligence , biology , mathematics , operating system , support vector machine , biochemistry , geometry , combinatorics , gene
Many plant research projects require the acquisition of kernel weight and size data. The lack of automated devices and software systems to measure individual kernel weight, length, width, and thickness restricts the number of samples that can be studied in a project, and compromises the quality of research. In this paper, we present a design approach and a prototype of an apparatus which can separate each kernel from a bulk sample, present it to an image analysis system, weigh it with a custom‐designed mechanism, log the acquired data, and return the kernel to a collection vessel, all automatically. Results of testing three grain types of rice ( Oryza sativa L.) showed that the computer image data have a high degree of accuracy and precision. With suitable hardware modification for size differences and improved image processing software to eliminate kernel orientation requirements, there should be no impediment to developing a similar apparatus to measure other kernel types.