Standout Papers

Identification of rice diseases using deep convolutional neural networks 2017 2026 2020 2023 555
  1. Identification of rice diseases using deep convolutional neural networks (2017)
    Yang Lü, Shujuan Yi et al. Neurocomputing
  2. Image recognition of four rice leaf diseases based on deep learning and support vector machine (2020)
    Feng Jiang, Yang Lü et al. Computers and Electronics in Agriculture

Citation Impact

59 standout
Sub-graph 1 of 21

Citing Papers

Agriculture and environmental management through nanotechnology: Eco-friendly nanomaterial synthesis for soil-plant systems, food safety, and sustainability
2024 Standout
Enhancing precision agriculture: A comprehensive review of machine learning and AI vision applications in all-terrain vehicle for farm automation
2024 Standout
2 intermediate papers

Works of Yang Lü being referenced

Image recognition of four rice leaf diseases based on deep learning and support vector machine
2020 Standout
Identification of rice diseases using deep convolutional neural networks
2017 Standout

Author Peers

Author CSE PRM Molecular Biology Plant Science Analytical Chemistry Last Decade Papers Cites
Yang Lü 99 220 128 721 358 84 1.5k
Antonino Favata 11 2 32 253
Elif Arbatli 14 138
Anneli Tuomainen 29 8 96 5 18 407
Yukari Eguchi 8 66 10 7 14 782
Atsushi Kaga 1 97 2 28 735

All Works

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2026