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Precision Agriculture, IIoT, Spectral analysis, Artificial Intelligence, Remote sensing


According to the current increase rate of the world population it is expected to reach 10 billion people in 2050. In addition, agricultural production area and agricultural labor force is constantly decreasing with the migration of rural population to the city with the use of agricultural areas for residential and industrial purposes. Therefore, it is a necessity to develop and disseminate systematic and efficient production techniques that will provide sufficient nutrition for humanity.

The agricultural sector also benefits greatly from what Industry 4.0 brings. IoT (Internet of Things), AI (Artificial Intelligence), Remote Sensing & ImP (Remote Sensing and Image Processing) techniques have been integrated with GIS (Geographic Information Systems) and have been actively used in agriculture in recent years. In addition to the soil characteristic and meteorological data collected by sensors, high resolution multi-band images taken from satellite systems and unmanned aerial vehicles are transferred to decision support platforms and artificial intelligence support can be used to determine the stress factors of crops and propose instant solution alternatives.

Within the scope of this paper, in a study carried out by HEKTAŞ R & D Center which develops innovation projects in the agricultural sector with the motto of “Pioneer of smart agriculture” general information will be given on the practical use of some of the above mentioned precision agricultural techniques during phenological growth stages of the wheat in Thrace region. 


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Letter to the Editor