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  Parametric evaluation of segmentation techniques for paddy diseases analysis

  Hemanthakumar R. Kappali, Sadyojatha K.M., Prashanthi S.K.

  04-08-2023

  https://doi.org/10.4081/jae.2023.1532

  1252

  PDF: 497

  HTML: 36

• Double-branch deep convolutional neural network-based rice leaf diseases recognition and classification

  Xiong Bi, Hongchun Wang

  30-10-2023

  https://doi.org/10.4081/jae.2023.1544

  1873

  PDF: 633

  APPENDIX: 130

  HTML: 21
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  IBAC-Net: integrative brightness adaptive plant leaf disease classification

  Xing Xu, Hongya Ma, Yun Zhao, Xiaoshu Lv

  11-03-2025

  https://doi.org/10.4081/jae.2025.1772

  680

  PDF: 523

  HTML: 29
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  Leveraging deep semantic segmentation for assisted weed detection

  Francisco Garibaldi-Márquez, Gerardo Flores, Luis M. Valentín-Coronado

  18-02-2025

  https://doi.org/10.4081/jae.2025.1741

  1160

  PDF: 451

  HTML: 58
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  Recognition of pepper plant and ridge characteristics using an ultrasonic sensor for smart upland crop production

  Mohammod Ali, Md Rejaul Karim, Md Sazzadul Kabir, Md Asrakul Haque, Kyu-Ho Lee, Sun-Ok Chung

  21-07-2025

  https://doi.org/10.4081/jae.2025.1881

  761

  PDF: 422

  HTML: 16
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  Harnessing AI for sustainable agriculture: exergy efficiency optimization in maize via neighbourhood component analysis, principal component analysis, extreme gradient boosting

  Kutalmis Turhal, Umit Cigdem Turhal, Yasemin Onal

  24-10-2025

  https://doi.org/10.4081/jae.2025.1870

  981

  PDF: 432

  HTML: 19
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  A study comparing energy consumption and environmental emissions in ostrich meat and egg production

  Behrooz Behboodi, Mohammad Gholami Parashkoohi, Davood Mohammad Zamani, Saeed Firouzi

  11-02-2025

  https://doi.org/10.4081/jae.2025.1718

  1049

  PDF: 417

  HTML: 26
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  Smart precision agriculture using deep neural networks and multi-objective optimization for sensor deployment and yield estimation

  Hamdan Alshehri, Haitham Assiri

  23-01-2026

  https://doi.org/10.4081/jae.2025.1769

  1011

  PDF: 628

  HTML: 35