Hassan Zekkouri

Papers

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About

Hassan Zekkouri is a researcher at the forefront of agricultural technology, specializing in computer vision and automation for precision farming. His work focuses on developing intelligent systems for fruit detection and harvesting, with a particular emphasis on date fruit cultivation. Zekkouri’s most notable contribution is the creation of a comprehensive date fruit detection dataset, designed to train deep learning models for automatic harvesting systems. This dataset, detailed in his highly cited 2023 paper (14 citations), addresses the critical need for reliable visual data in agricultural robotics, enabling more efficient and accurate fruit recognition in complex orchard environments. By providing a standardized benchmark, his research facilitates the development of autonomous harvesters that can reduce labor costs and post-harvest losses. Zekkouri’s work is instrumental in bridging the gap between artificial intelligence and sustainable agriculture, offering practical solutions to enhance productivity in date palm farming. His contributions are particularly valuable given the global significance of date production, which exceeds 9.45 million tons annually, and his research promises to revolutionize harvesting practices for this nutritionally rich crop.