Abstract: Accurate in-season crop yield prediction is critical for timely agricultural decision-making, food security, and climate-resilient farm management. This study presents a framework for ...
Abstract: This research study proposes a novel hybrid quantum deep learning architecture for accurate prediction of rice harvest timings. This system incorporates data from diverse origins such as, ...
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