With the advancement of digital diagnosis in plant nutrition, establishing deep learning models for rice nutrition diagnosis via computer vision has emerged as a significant trend.
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Diagnosis of early nitrogen, phosphorus and potassium deficiency categories in rice based on multimodal integration and knowledge distillation.
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