ADNet: An Attention Embedded DenseNet121 Model for Weed Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60935-0_55
Reference22 articles.
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3. Venkataraju, A., Arumugam, D., Stepan, C., Kiran, R., Peters, T.: A review of machine learning techniques for identifying weeds in corn. Smart Agric. Technol. 3, 100102 (2023)
4. Al-Badri, A.H., et al.: Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques. J. Plant Dis. Prot. 129(4), 745–768 (2022)
5. Zhao, X., Wang, X., Li, C., Fu, H., Yang, S., Zhai, C.: Cabbage and weed identification based on machine learning and target spraying system design. Front. Plant Sci. 13, 924973 (2022)
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