GPT-aided diagnosis on agricultural image based on a new light YOLOPC

Author:

Qing Jiajun,Deng Xiaoling,Lan Yubin,Li Zhikai

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference25 articles.

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3. Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., ... & Zhang, Y., 2023. Sparks of artificial general intelligence: Early experiments with gpt-4.arXiv preprint arXiv:2303.12712.https://doi.org/10.48550/arXiv.2303.12712.

4. Citrus disease detection and classification using based on convolution deep neural network;Çetiner;Microprocess. Microsyst.,2022

5. Chen, J., Kao, S.H., He, H., Zhuo, W., Wen, S., Lee, CH., & Chan, S.H.G., 2023. Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks. arXiv preprint arXiv:2303.03667. https://doi.org/10.48550/arXiv.2303.03667.

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