Results 101 to 110 of about 13,200 (141)

Identification of favorable alleles from exotic Upland cotton lines for fiber quality improvement using multiple association models. [PDF]

Front Plant Sci
Mangla H, Liu M, Vitrakoti D, Somala RV, Shehzad T, Chandnani R, Das S, Wallace JG, Snider JL, Jones DC, Chee PW, Paterson AH.   +11 more
europepmc   +1 more source

Investigation of salt tolerance in cotton germplasm by analyzing agro-physiological traits and ERF genes expression. [PDF]

Sci Rep
Zafar MM, Razzaq A, Chattha WS, Ali A, Parvaiz A, Amin J, Saleem H, Shoukat A, Elhindi KM, Shakeel A, Ercisli S, Qiao F, Jiang X.   +12 more
europepmc   +1 more source

Low-voltage electrohydraulic actuators for untethered robotics. [PDF]

Sci Adv
Gravert SD, Varini E, Kazemipour A, Michelis MY, Buchner T, Hinchet R, Katzschmann RK.   +6 more
europepmc   +1 more source

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The Technological and Economic Impact of High Volume Instrument (HVI) Systems on the Cotton and Cotton Textile Industries

Journal of the Textile Institute, 1996
The development and use of HVI systems have resulted in significant technological and economic changes in the production and mill consumption of cotton. This paper explains how the testing systems are used and examines and discusses the impact of changes on the cotton and cotton textile industries.
M. W. Suh, P. E. Sasser
openaire   +2 more sources

Reconstruction of the cotton fiber length distribution from a High Volume Instrument® fibrogram

Textile research journal, 2022
Cotton fiber length is one of the most critical parameters of fiber quality for ring-spun and air-jet-spun yarns. Currently, two of the most common instruments for testing cotton fiber length are the USTER High Volume Instrument (HVI) and the USTER ...
C. Turner, Md. Abu Sayeed, E. Hequet
semanticscholar   +1 more source

Comparison of Fiber and Yarn Quality Traits of Colored and Conventional Cotton (Gossypium hirsutum L.) Varieties

International Journal of Agriculture, Environment and Food Sciences
Natural colored cotton has attracted increased attention as a sustainable alternative to traditional white cotton, as it eliminates the expensive and environmentally detrimental dying process.
C. I. Cevheri, Bülent Çetin, Mehmet Şahin, Osman Çopur   +3 more
semanticscholar   +1 more source

Advancements in AI-driven Cotton Fiber Quality Assessment Through Image Processing: A Comprehensive Review

Control Systems and Optimization Letters
The integration of artificial intelligence (AI) and image processing techniques has emerged as a transformative solution to address the limitations of traditional cotton fiber quality assessment methods, particularly the High-Volume Instrument (HVI) and ...
Marc Joshua Prudente, Edwin R. Arboleda, Joshua Balistoy Gutierrez   +2 more
semanticscholar   +1 more source

Correlation of Cotton Fiber Properties with Yarn Tenacity at Varying Levels of Fiber Length and Strength

Journal of Cotton Science
A data set containing High Volume Instrument (HVI) and Advanced Fiber Information System (AFIS) fiber properties and minispun 30 Ne ring-spun yarn properties was developed from a breeding program’s archived data obtained between 2013 and 2018.
C. W. Smith, Kari L. Hugie, Mitchell Schumann, Steve Hague   +3 more
semanticscholar   +1 more source

Lint Cleaning Performance of a Pneumatic Fractionator: Impacts on Fiber Quality and Economic Value of Saw- and Roller-Ginned Upland Cotton

Processes
Current saw- and pin-type lint-cleaning systems used by the ginning industry have challenges retaining lint quality. The objective of the research was to test a novel pneumatic fractionator for the lint cleaning of an Upland cotton variety that was both ...
J. Tumuluru, C. Armijo, Derek P. Whitelock, Christopher D. Delhom, Vikki B. Martin   +4 more
semanticscholar   +1 more source

Comparative Upland Cotton Fiber Length Measurement and the Relation to Fiber Maturity

Textiles
Cotton fiber length and maturity, two critical fiber qualities, are commonly determined in the U.S. by Uster high volume instrument (HVI) and advanced fiber information system (AFIS).
Yongliang Liu, Sechin Chang, Doug J. Hinchliffe   +2 more
semanticscholar   +1 more source