المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2023
Envisioning Arid Agriculture with a Desert Prediction Model
The project introduces an AI-driven approach for assessing agricultural viability in arid regions, in specific within Saudi Arabia, notorious for its challenging climatic conditions. The approach involved training a Multi-Layer Perceptron (MLP) model on Australian datasets, leveraging its incredibly diverse landscape and incorporating features such as precipitation, elevation, and geology. Subsequently, the trained model was applied to predict agricultural viability in Saudi Arabia. It unveiled previously unrecognized agricultural potential in Saudi Arabia, challenging conventional beliefs about arid climate limitations.
مع أكاديمية كاوست
- دفعة 2023
جامعة الملك عبدالله للعلوم والتقنية (كاوست) · المدرسة الصيفية للذكاء الاصطناعي
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