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Author: Henry Ludwell Moore
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 200
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Book Description
Author: Henry Ludwell Moore
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 200
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Book Description
Author: Henry Ludwell Moore
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Henry Ludwell 1869 Moore
Publisher: Wentworth Press
ISBN: 9781362457275
Category : History
Languages : en
Pages : 196
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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Henry Ludwell Moore
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Henry Ludwell 1869-1958 Moore
Publisher: Wentworth Press
ISBN: 9781362457664
Category : History
Languages : en
Pages : 202
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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Henry Ludwell Moore
Publisher: Forgotten Books
ISBN: 9780265400227
Category : Mathematics
Languages : en
Pages : 188
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Book Description
Excerpt from Forecasting the Yield and the Price of Cotton Without a doubt great values are at stake. If the size of the cotton crop of 1914 is taken as a standard, an error in an official crop report which should lead to an ultimate depression of one cent a pound in the price of cotton lint would cost the farmers or more. A corresponding error leading to a similar rise in price would entail upon manufacturers and consumers a comparably heavy loss. The Department of Agriculture has rendered its reports continuously for some fifty years, and yet, as far as I am aware, no one has either measured the degree of accuracy of the information it supplies con cerning crop conditions and prospects, or attempted to see whether, by different methods, more truth might not be gained from the stores of raw figures that its Bureaus collect. Government Departments seeking appropriations are very likely, out of administrative necessity, to stress their successes and suppress their failures. In the January number of the official Crop Reporter, for 1900, this illustration is given of the value to planters of the Government crop - reporting service. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Floyd Henry Harper
Publisher:
ISBN:
Category : Cotton growing and manufacture
Languages : en
Pages : 574
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Book Description
Author: Ali R. Moshtagh
Publisher:
ISBN:
Category : Agricultural prices
Languages : en
Pages : 334
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 194
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Author: Bharatkumar Tapan Pathak
Publisher:
ISBN:
Category :
Languages : en
Pages :
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ABSTRACT: Cotton is the most important fiber crops in the United States, accounting for approximately 20% of the total production in the world and more than $25 billion in products and services annually. The Southeastern United States holds a major share of total cotton production of the country. While evidence clearly shows an increase in cotton planted over the time, climate variability is a major concern that could adversely affect its production in the southeastern United States. An effective way to reduce agricultural vulnerability to climate variability is through the implementation of adaptation strategies such as crop yield forecasts to mitigate negative consequences or take advantage of favorable conditions. The use of climate forecasts and climate indices to forecast cotton yield using the CROPGRO-Cotton model and principal component regression model, respectively, were assessed in this study. Using the crop model, in-season updating of the cotton yield forecast with real weather data along with the climatology significantly improved the accuracy of the forecast. With principal component regression models, cotton yield forecasts with significant skills were obtained with a lead time of approximately two months before cotton planting. Results indicated good potential for forecasting cotton yield for the southeastern United States.
