Use of Optical Sorting to Detect Karnal Bunt-Infected Wheat Kernels

2002 ◽  
Author(s):  
Floyd E. Dowell ◽  
Theodore N. Boratynski ◽  
Ronald E. Ykema ◽  
Alan K. Dowdy ◽  
Ph.D.
Plant Disease ◽  
2002 ◽  
Vol 86 (9) ◽  
pp. 1011-1013 ◽  
Author(s):  
Floyd E. Dowell ◽  
Theodore N. Boratynski ◽  
Ronald E. Ykema ◽  
Alan K. Dowdy ◽  
Robert T. Staten

Wheat infected with Tilletia indica is subject to international regulation by 78 countries, and U.S. economic losses could exceed $1 billion if T. indica was found throughout major wheat-producing regions and caused wheat exports to be halted. Samples are currently manually inspected for the presence of kernels with Karnal bunt as part of routine survey methods. This visual inspection of all seed in a sample can result in harvest delays due to long inspection times and missed kernels due to inspector fatigue. A high-speed sorter was tested to determine if infected kernels could be rapidly removed from 1,800-g wheat samples. When the sorter removed about 8% or more of the sample, the reject portion contained 100% of the bunted kernels. Concentrating the bunted kernels in a smaller sample size will reduce sample inspection time and should reduce inspection errors. One high-speed sorter can process up to 8,800 kg/h; thus, bunted kernels can be rapidly removed from samples or large lots. Each sample was sorted in less than 1 min. This technology provides the wheat industry with a tool to rapidly inspect samples to aid in regulating Karnal bunt, and to remove bunted grains from seed wheat and wheat destined for food or feed use.


2021 ◽  
Vol 1 ◽  
pp. 81-90
Author(s):  
John Bake Sakwe ◽  
Marcus Pereira Pessoa ◽  
Sipke Hoekstra

AbstractWith the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.


2021 ◽  
Vol 331 ◽  
pp. 129428 ◽  
Author(s):  
Haitao Zhao ◽  
Lip Ket Chin ◽  
Yuzhi Shi ◽  
Patricia Yang Liu ◽  
Yi Zhang ◽  
...  
Keyword(s):  

2021 ◽  
Vol 208 ◽  
pp. 176-185
Author(s):  
Xiaojing Yang ◽  
Min Guo ◽  
Qiongshuai Lyu ◽  
Miao Ma

1967 ◽  
Vol 32 (4) ◽  
pp. 422-425 ◽  
Author(s):  
CHIEN-MEI CHIU ◽  
Y. POMERANZ
Keyword(s):  

2004 ◽  
Author(s):  
Michael P. MacDonald ◽  
Steven Neale ◽  
Lynn Paterson ◽  
Andrew Riches ◽  
Gabriel C. Spalding ◽  
...  

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