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• Comparison of two different artificial neural network models for prediction of soil penetration resistance

  İlker Ünal, Önder Kabaş, Salih Sözer

  29-12-2023

  https://doi.org/10.4081/jae.2024.1550

  1291

  PDF: 512

  HTML: 28
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  Report on the 45th International Symposium: Actual Tasks on Agricultural Engineering, 21st-24th February 2017, Opatija, Croatia

  Igor Kovacev, Daniele De Wrachien

  123-124

  01-06-2017

  https://doi.org/10.4081/jae.2017.732

  1837

  PDF: 788

  HTML: 894
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  Design and testing of a GPS/GSM collar prototype to combat cattle rustling

  Francesco M. Tangorra, Aldo Calcante, Stefano Nava, Gabriele Marchesi, Massimo Lazzari

  e10

  04-10-2013

  https://doi.org/10.4081/jae.2013.e10

  5282

  PDF: 1565

  HTML: 3233
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  Fine-grained recognition algorithm of crop pests based on cross-layer bilinear aggregation and multi-task learning

  Juquan Ruan, Shuo Liu, Wanjing Mao, Shan Zeng, Zhuoyi Zhang, Guangsun Yin

  30-10-2024

  https://doi.org/10.4081/jae.2024.1606

  843

  PDF: 378

  HTML: 11
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  Empowering farmers with artificial intelligence: a retrieval-augmented generation based large language model advisory framework

  Shreeram Sawant, Rahul Nair, Siddharth Hariharan

  27-01-2026

  https://doi.org/10.4081/jae.2026.1908

  1720

  PDF: 644

  Supplementary: 48

  HTML: 18