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  Proximal optical sensing for vineyard control and management: a review

  Alessio Tugnolo, Hugo M. Oliveira, Valentina Giovenzana, Roberto Beghi, Davide Bianchi, Alessia Pampuri, Andrea Casson, Lucio Brancadoro, Joao Piteira, Natacha Fontes, Antonio Graca, Paulo Freitas, Riccardo Guidetti

  01-07-2025

  https://doi.org/10.4081/jae.2025.1642

  316

  PDF: 181

  HTML: 2
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  Characterisation of olive fruit for the milling process by using visible/near infrared spectroscopy

  Roberto Beghi, Valentina Giovenzana, Raffaele Civelli, Enrico Cini, Riccardo Guidetti

  e8

  04-10-2013

  https://doi.org/10.4081/jae.2013.e8

  3932

  PDF: 1206

  HTML: 992
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  The use of hyperspectral imaging in the visible and near infrared region to discriminate between table grapes harvested at different times

  Francesca Piazzolla, Maria Luisa Amodio, Giancarlo Colelli

  e7

  04-10-2013

  https://doi.org/10.4081/jae.2013.e7

  3860

  PDF: 1266

  HTML: 606
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  Exploring the feasibility of near-infrared spectroscopy in analyzing and predicting the chemical and biochemical changes of chitin-amended soils

  Ken Abamba Omwange, Ana Chen, Renfu Lu, Carly Daiek, Julie Celini, Yan Liu

  03-02-2025

  https://doi.org/10.4081/jae.2025.1710

  393

  PDF: 217

  HTML: 11
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  Spectra evolution over on-vine holding of Italia table grapes: prediction of maturity and discrimination for harvest times using a Vis-NIR hyperspectral device

  Francesca Piazzolla, Maria Luisa Amodio, Giancarlo Colelli

  109-116

  01-06-2017

  https://doi.org/10.4081/jae.2017.639

  2068

  PDF: 1018

  HTML: 397
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  Hyperspectral imaging to measure apricot attributes during storage

  Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni

  28-06-2022

  https://doi.org/10.4081/jae.2022.1311

  1391

  PDF: 538

  HTML: 53
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  Detection of early collision and compression bruises for pears based on hyperspectral imaging technology

  Guanglai Wang, Congcong Wang, Dayang Liu

  09-07-2024

  https://doi.org/10.4081/jae.2024.1591

  481

  PDF: 301

  HTML: 6
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  Fluorescence hyper-spectral imaging to detecting faecal contamination on fresh tomatoes

  Roberto Romaniello, Giorgio Peri, Alessandro Leone

  7-11

  08-03-2016

  https://doi.org/10.4081/jae.2016.491

  1982

  PDF: 949

  HTML: 829
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  Hyperspectral imaging system to online monitoring the soy flour content in a functional pasta

  Roberto Romaniello, Antonietta Eliana Barrasso, Antonio Berardi, Claudio Perone, Antonia Tamborrino, Filippo Catalano, Antonietta Baiano

  04-08-2023

  https://doi.org/10.4081/jae.2023.1535

  1406

  PDF: 422

  HTML: 29
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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

  1066

  PDF: 416

  HTML: 11
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  E-nose: a low-cost fruit ripeness monitoring system

  Pankaj Tyagi, Rahul Semwal, Anju Sharma, Uma Shanker Tiwary, Pritish Varadwaj

  03-11-2022

  https://doi.org/10.4081/jae.2022.1389

  4039

  PDF: 1366

  HTML: 1063
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  Effect of different photoperiod regimes in combination with natural and artificial light on nutrient uptake in bok choy (Brassica rapa L.) using an internet of things-based hydroponics system

  Bayu Taruna Widjaja Putra, Wahyu Nurkholis Hadi Syahputra, Parawita Dewanti

  08-05-2024

  https://doi.org/10.4081/jae.2024.1579

  992

  PDF: 796

  HTML: 6

• 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

  864

  PDF: 354

  HTML: 15
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  Measurement of food colour in L*a*b* units from RGB digital image using least squares support vector machine regression

  Roberto Romaniello, Alessandro Leone, Giorgio Peri

  138-143

  18-12-2015

  https://doi.org/10.4081/jae.2015.482

  3642

  PDF: 1219

  HTML: 4338
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  Cassava stalk detection for a cassava harvesting robot based on YOLO v4 and Mask R-CNN

  Thanaporn Singhpoo, Khwantri Saengprachatanarug, Seree Wongpichet, Jetsada Posom, Kanda Runapongsa Saikaew

  01-08-2023

  https://doi.org/10.4081/jae.2023.1301

  1517

  PDF: 629

  HTML: 111