Fluorescence hyper-spectral imaging to detecting faecal contamination on fresh tomatoes
Published: 8 March 2016
Abstract Views: 1794
PDF: 794
HTML: 825
HTML: 825
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Francesca Piazzolla, Maria Luisa Amodio, Giancarlo Colelli, The use of hyperspectral imaging in the visible and near infrared region to discriminate between table grapes harvested at different times , Journal of Agricultural Engineering: Vol. 44 No. 2 (2013)
- Senanur Durgut Malçok, Azime Özkan Karabacak, Ertürk Bekar, Cüneyt Tunçkal, Canan Ece Tamer, Influence of a hybrid drying combined with infrared and heat pump dryer on drying characteristics, colour, thermal imaging and bioaccessibility of phenolics and antioxidant capacity of mushroom slices , Journal of Agricultural Engineering: Vol. 54 No. 3 (2023)
- Michele Raffaelli, Marco Fontanelli, Christian Frasconi, Angelo Innocenti, Lamberto Dal Re, Lia Bardasi, Giorgio Galletti, Andrea Peruzzi, Development of a flaming machine for the disinfection of poultry grow-out facilities , Journal of Agricultural Engineering: Vol. 44 No. 1 (2013)
- José Roberto Moreira Ribeiro Gonçalves, Gabriel Araújo e Silva Ferraz, Étore Francisco Reynaldo, Diego Bedin Marin, Patrícia Ferreira Ponciano Ferraz, Manuel Pérez-Ruiz, Giuseppe Rossi, Marco Vieri, Daniele Sarri, Comparative analysis of soil-sampling methods used in precision agriculture , Journal of Agricultural Engineering: Vol. 52 No. 1 (2021)
- Giorgia Agresti, Giuseppe Bonifazi, Luca Calienno, Giuseppe Capobianco, Angela Lo Monaco, Claudia Pelosi, Rodolfo Picchio, Silvia Serranti, Colour modifications and hyperspectral imaging: non-invasive analysis of photo-degraded wood surfaces , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Fernando Ferreira Abreu, Luiz Henrique Antunes Rodrigues, Monitoring mini-tomatoes growth: A non-destructive machine vision-based alternative , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales, Anthocyanins estimation in homogeneous bean landrace (Phaseolus vulgaris L.) using probabilistic representation and convolutional neural networks , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Daniele Duca, Giuseppe Toscano, Andrea Pizzi, Giorgio Rossini, Sara Fabrizi, Giulia Lucesoli, Andrea Servili, Valeria Mancini, Gianfranco Romanazzi, Chiara Mengarelli, Evaluation of the characteristics of vineyard pruning residues for energy applications: effect of different copper-based treatments , Journal of Agricultural Engineering: Vol. 47 No. 1 (2016)
- A. Assirelli, A. Acampora, S. Croce, R. Spinelli, E. Santangelo, L. Pari, Mechanized recovery of olive pruning residues: ash contamination and harvesting losses , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, In-field hyperspectral imaging: An overview on the ground-based applications in agriculture , Journal of Agricultural Engineering: Vol. 51 No. 3 (2020)
You may also start an advanced similarity search for this article.