Visual regenerative fusion network for pest recognition

Author:

Nandhini C.,Brindha M.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference28 articles.

1. Nandhini C, Brindha M (2022) Deep learning solutions for pest detection. Princ Appl Object Detect Deep Learn Mod

2. Camargo A, Smith J (2009) An image-processing based algorithm to automatically identify plant disease visual symptoms. Biosyst Eng 102(1):9–21

3. Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4700–4708

4. Tan M, Le Q (2019) Efficientnet: Rethinking model scaling for convolutional neural networks. In: International conference on machine learning, PMLR, pp 6105–6114

5. Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861

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