Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation
Summary
Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation is a scholarly article[1].
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Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/classification-of-nutrient-deficiency-in-rice-based-on-cnn-model-with-reinforcement-learning-augmentation
MLA“Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classification-of-nutrient-deficiency-in-rice-based-on-cnn-model-with-reinforcement-learning-augmentation.
BibTeX@misc{4ortxyz_classification-of-nutrient-deficiency-in-rice-based-on-cnn-model-with-reinforcement-learning-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/classification-of-nutrient-deficiency-in-rice-based-on-cnn-model-with-reinforcement-learning-augmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classification of nutrient deficiency in rice based on CNN model with Reinforcement Learning augmentation — https://4ort.xyz/entity/classification-of-nutrient-deficiency-in-rice-based-on-cnn-model-with-reinforcement-learning-augmentation (retrieved 2026-05-24)