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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
Prof. Dr. Reiner Doluschitz ist Leiter des Fachgebiets Agrarinformatik und Unternehmensführung am Institut für Landwirtschaftliche Betriebslehre der Universität Hohenheim.
