ACCURATE AGRICULTURE PRACTICES WITH THE HELP OF REMOTE DETECTION SYSTEMS AND PRACTICE POSSIBILITIES IN TURKEY release_yiowalahojeyvaybjhcczvjy3m

by Bülent Eker, Gökhan Cavaş

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Abstract

Remote detection is the science of obtaining information about objects without directly touch. There are lots of satellites in the space-orbiting earth or turning simultaneously with the earth-installed by humans for various reasons. In this study, 3-4-5 band combinations of satellite images of Landsat 7 TM and Landsat 5 TM were used to determine cotton plant fenologically by spectral reflection values in research area. Ground control points of spectral reflection values for control were taken by Magellan 315 model with 5-15 m accuracy. With sampling method conducted at study area, educated-controlled classification analysis was made and color definitions were entered to determine the plant type to be defined. With this paper, it was put forward that by analyzing Remote Detection data, agricultural products can be analyzed and controlled much more quicker and ideally.
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