COMPUTING THE COTTON CROP FROM WEATHER RECORDS AND GINNING REPORTS
نویسندگان
چکیده
منابع مشابه
Automation in cotton ginning
This paper discusses a framework for implementation of a machine vision-based system for on-line identification of trash objects commonly found in cotton. Soft computing techniques such as neural networks and fuzzy inference systems can classify trash objects into individual categories such as bark, stick, leaf, and pepper trash types with great accuracies. This identification of trash objects ...
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Dust generated during the handling and processing of cotton causes ill health of ginning workers. The purpose of this study was to determine the prevalence of respiratory symptoms among cotton-ginning workers. This study involved 188 workers of 10 cotton-ginning factories. Forced vital capacity (FVC), peak expiratory flow rate (PEFR), and forced expiratory volume in 1 s (FEV1) declined signific...
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The number of operating cotton gins in Texas has steadily declined in the past 40 years from 1400 to less than 280 while the production of cotton has remained at approximately 4-5 million bales. In order to market the 5 million bales with fewer gins, the remaining gins will be processing more seed cotton in the future. It is likely that the cotton ginning industry will be faced with longer seas...
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Energy is considered the basis for the progress and prosperity of nations and societies. Availability and consumption levels of energy is the best indicator of economic and social development. In many developing countries energy from crop residues (CR) has been the main source of energy, mostly in its traditional forms designed to meet the demands of domestic uses (Hall and Rosillo, 1998). In i...
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Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-indu...
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ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 1921
ISSN: 0027-0644,1520-0493
DOI: 10.1175/1520-0493(1921)49<295:ctccfw>2.0.co;2