Standout Papers

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wi... 2018 2026 2020 2023 291
  1. Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild (2018)
    Artzai Picón, Aitor Álvarez-Gila et al. Computers and Electronics in Agriculture

Immediate Impact

76 standout
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Citing Papers

Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review
2025 Standout
A robust deep learning framework for multiclass skin cancer classification
2025 Standout
1 intermediate paper

Works of Jone Echazarra being referenced

WHY DEEP LEARNING PERFORMS BETTER THAN CLASSICAL MACHINE LEARNING?
2020
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
2017

Author Peers

Author Last Decade Papers Cites
Jone Echazarra 616 275 16 140 8 682
Koushik Nagasubramanian 490 201 42 191 9 605
Shanwen Zhang 499 209 6 101 18 637
Sue Han Lee 578 233 27 151 12 674
Yuandong Sun 551 218 12 114 6 635
Edna C. Too 584 220 14 139 8 722
Jinzhu Lu 469 233 20 149 17 612
Mónica G. Larese 552 209 40 163 12 669
Keming Du 563 225 9 171 12 644
Gercina Gonçalves da Silva 480 135 46 193 8 605
J. Arun Pandian 510 194 7 84 16 586

All Works

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2026