Enhancing Agricultural Research in Palestine through GIS, IoT, and Fog Computing Integration رسالة ماجستير

Abstract

Agricultural research in the Middle East, particularly in Palestine, faces challenges like limited freshwater access, lack of real-time data for fertilizer regulation, and scattered data sources. To tackle these issues, this study suggests an integrated system using GIS, IoT, and fog computing. The system includes a water control and fertilizer regulatory cloud, along with a national geodatabase cloud for research, based at the National Agricultural Research Centre in Palestine. Soil sensors monitor key parameters like N, P, K, pH, moisture, temperature, and EC, combined with weather data to optimize fertilizer use and promote TWW irrigation for sustainable practices. The geodatabase cloud serves as a central data repository for agricultural research, integrating data from the Palestinian Plant Gene Bank to predict plant species distribution in the West Bank using ArcGIS and Random Forest, achieving an accuracy of 0.72. By integrating GIS, IoT, and fog computing, the system aims to improve data collection, storage, and analysis for informed decision-making and sustainable agricultural strategies in the region