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  Hyperspectral prediction of pigment content in tomato leaves based on logistic-optimized sparrow search algorithm and back propagation neural network

  Jiangui Zhao, Tingyu Zhu, Zhichao Qiu, Tao Li, Guoliang Wang, Zhiwei Li, Huiling Du

  20-06-2023

  https://doi.org/10.4081/jae.2023.1528

  1370

  PDF: 837

  HTML: 19
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  Identification of drought-salinity combined stress in tomato plants by vegetation indices

  Alessandro Biglia, Francesco Gresta, Davide Lucien Patono, Lorenzo Comba, Claudio Lovisolo, Paolo Gay, Andrea Schubert

  23-10-2024

  https://doi.org/10.4081/jae.2024.1599

  916

  PDF: 418

  HTML: 17
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  Real-time assessment of plant photosynthetic pigment contents with an artificial intelligence approach in a mobile application

  Kestrilia Rega Prilianti, Syaiful Anam, Tatas Hardo Panintingjati Brotosudarmo, Agus Suryanto

  220-228

  21-12-2020

  https://doi.org/10.4081/jae.2020.1082

  3106

  PDF: 1065

  HTML: 244

• An active-optical reflectance sensor in-field testing for the prediction of winter wheat harvest metrics

  Marko Milan Kostić, Nataša Ljubičić, Vladimir Aćin, Milan Mirosavljević, Maša Budjen, Miloš Rajković, Nebojša Dedović

  16-02-2024

  https://doi.org/10.4081/jae.2024.1559

  1232

  PDF: 442

  SUPPLEMENTARY MATERIAL: 127

  HTML: 9