Precision Farming in Egypt | in the Small Farmland Using Remote Sensing and GIS

Abdel-Aziz Belal (u. a.)

ISBN 10: 3659129372 / ISBN 13: 9783659129377

Published by LAP Lambert Academic Publishing, 2012

About this Item

Precision Farming in Egypt | in the Small Farmland Using Remote Sensing and GIS | Abdel-Aziz Belal (u. a.) | Taschenbuch | Paperback | 220 S. | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659129377 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106219794

Bibliographic Details

• Title: Precision Farming in Egypt | in the Small Farmland Using Remote Sensing and GIS
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659129372
• ISBN 13: 9783659129377
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 346 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The principal aims of this study are the application of precision farming technology with crop growth models in Egypt to increase the yield production and the monitoring of the change in the land use and land cover in the study area. To achieve these aims, remote sensing imagery was analyzed. In addition, field surveys were done, from which ground control points and terrestrial data pertaining to land use and land cover were acquired. Ancillary information as to agricultural management strategies was also obtained through interviews with experts and farmers. Soil and water samples were collected and chemically analyzed and the results from the analyses were used to produce crop growth models. The final goal of the current study is to produce the application maps through delineation of the management zones. A spatial GIS model was used for the delineation of the management zones on the basis of the combined standard yield data with soil variables derived from the multiple linear regression models for cotton and rice crops in test areas one and two, and remote sensing image classification within a Model Builder framework.

About the Author

The author, Ph.D. Precision Farming Associate Prof., Head of Soil Dept., National Authority for Remote Sensing and Space Sciences (NARSS), Egypt.