Modelling and verification of sesame seed particles using the discrete element method
Published: 28 June 2022
Abstract Views: 2207
PDF: 499
HTML: 88
HTML: 88
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
- Roberto Beghi, Valentina Giovenzana, Raffaele Civelli, Enrico Cini, Riccardo Guidetti, Characterisation of olive fruit for the milling process by using visible/near infrared spectroscopy , Journal of Agricultural Engineering: Vol. 44 No. 2 (2013)
- Daniele Torreggiani, Alberto Barbaresi, Francesca Dallacasa, Patrizia Tassinari, Effects of different architectural solutions on the thermal behaviour in an unconditioned rural building. The case of an Italian winery , Journal of Agricultural Engineering: Vol. 49 No. 1 (2018)
- Angelo Fabbri, Chiara Cevoli, Giuseppe Cantalupo, A method for handlebars ballast calculation in order to reduce vibrations transmissibility in walk behind tractors , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Xiaoqiang Du, Tengfei Shen, Kaizhan Chen, Guofeng Zhang, Xiaohua Yao, Juanjuan Chen, Yongqing Cao, Simulation study and field experiments on the optimal canopy shaking action for harvesting Camellia oleifera fruits , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- 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)
- Ziyan Fan, Lijun Li, Zicheng Gao, Fuzzy neural network PID control design of camellia fruit vibration picking manipulator , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Giovanni Russo, Giuseppe Verdiani, The health risk of the agricultural production in potentially contaminated sites: an environmental-health risk analysis , Journal of Agricultural Engineering: Vol. 43 No. 3 (2012)
- Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari, Stefano Benni, 3D numerical modelling of temperature and humidity index distribution in livestock structures: a cattle-barn case study , Journal of Agricultural Engineering: Vol. 54 No. 3 (2023)
- Roberto Romaniello, Giorgio Peri, Alessandro Leone, Fluorescence hyper-spectral imaging to detecting faecal contamination on fresh tomatoes , Journal of Agricultural Engineering: Vol. 47 No. 1 (2016)
- Vincenzo Bagarello, Vito Ferro, Dennis Flanagan, Predicting plot soil loss by empirical and process-oriented approaches. A review , Journal of Agricultural Engineering: Vol. 49 No. 1 (2018)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.