Results 21 to 30 of about 312 (122)
ANALYTIC STUDY OF SHORT FIBER CONTENT IN EGYPTIAN COTTON [PDF]
The present study was carried out to verify the variation of short fiber content (SFC) and its importance. The instruments and/ or methods used to measure short fiber include High Volume Instrument (HVI), Fibrograph 630 and Suter-Webb array.
doaj +1 more source
Cotton micronaire (MIC) is an essential fiber quality index that characterizes both fiber maturity and fineness components. This study compared how MIC affects the fiber high volume instrument (HVI) and advanced fiber information system (AFIS) qualities ...
Yongliang Liu, Doug J. Hinchliffe
doaj +1 more source
Digieye Application In Cotton Colour Measurement
Colour is one of the most important properties of cotton raw materials. It helps in determining and classifying the quality of fibres according to the Universal Cotton Standards. Organoleptic and instrumental techniques are applied to assess the color of
Matusiak Małgorzata
doaj +1 more source
There has been an interest in understanding the relationship between textile cotton fiber strength (or tenacity) and structure for better fiber quality measurement and enhancement.
Yongliang Liu
doaj +1 more source
Background Cotton fiber quality and seed composition play vital roles in the economics of cotton production systems and the cottonseed meal industry. This research aimed to examine the effects of different irrigation levels and planting geometries on ...
Srinivasa R. PINNAMANENI +4 more
doaj +1 more source
Comparative Upland Cotton Fiber Length Measurement and the Relation to Fiber Maturity
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 +2 more
doaj +1 more source
Studies on fibre quality of a long staple cotton variety using high volume instrument and advanced fibre information system for fibre quality improvement [PDF]
Fibre quality parameters of 20 plants of a long staple cotton variety Suraj were analyzed using High Volume Instrument (HVI) and Advanced Fibre Information System (AFIS) and were compared.
S Manickam and S Venkatakrishnan
doaj
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani +1 more
wiley +1 more source
This research is about development of upcycled yarn from textile waste. The results demonstrate that RDFW can be successfully incorporated into yarn production, maintaining comparable tensile strength and uniformity, while reducing waste and resource consumption also save up to 22,000 L of water and 1.2 kg of CO2 per kilogram of cotton.
Towfik Aziz Kanon +4 more
wiley +1 more source
Abstract Cotton (Gossypium hirsutum L.) breeding has primarily emphasized fiber yield and quality, yet plant architectural, developmental, and seed morphological traits also play key roles in productivity and management. Here, we dissect the genetic basis of four such traits: plant height (HT), number of nodes with one branch (N1B), days to flowering ...
Hrithik Mangla +12 more
wiley +1 more source

