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Smart Agriculture utilizes innovative technologies such as remote sensing, machine learning, and big data analysis to optimize farming practices and increase efficiency, yields, and sustainability. This Special Issue seeks high-quality papers on the application of these technologies in smart agriculture, including UAV-based phenotyping, crop growth and nutrition diagnosis, and yield estimation.
