Quantum Computing for Precision Agriculture in South Africa: A Case Study of the KwaZulu-Natal South Coast by Darshani .R. Persadh

This research investigates the application of quantum computing to improve agricultural practices along the KwaZulu-Natal coast in South Africa. By employing machine learning and quantum-inspired methods, this study aims to address key challenges in precision agriculture, including soil health assessment, crop disease forecasting, and optimized resource management. The findings highlight the potential of quantum computing to significantly enhance agricultural productivity, sustainability, and resilience in the region.