Time series forecasting of wheat crop productivity in Egypt using deep learning techniques
Amal Mahmoud,
Ammar Mohammed,
M. M. abdel wahab
et al.
Abstract:Egypt's agricultural sector plays a critical role in the country's economy, with wheat cultivation being vital for ensuring food security. However, the challenges faced by wheat farming in Egypt, such as climate change, water scarcity, and pest infestations, contribute to yield fluctuations, highlighting the need for accurate and timely predictions of wheat productivity. To address this need, time series analysis is employed, which involves analyzing data collected at regular intervals over a specific time fra… Show more
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