Computational Modelling of Grain Storage
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24861-0_104
Reference8 articles.
1. Boac JM, Ambrose RPK, Casada ME, Maghirang RG, Maier DE (2014) Applications of discrete element method in modeling of grain postharvest operations. Food Eng Rev 6(4):128–149. https://doi.org/10.1007/s12393-014-9090-y
2. Horabik J, Molenda M (2016) Parameters and contact models for DEM simulations of agricultural granular materials: a review. Biosyst Eng 147:206–225. https://doi.org/10.1016/j.biosystemseng.2016.02.017
3. Jian F (2021) A novel model to quantify ages of organisms and predict development time distribution of their growth stages. Ecol Model 440(April 2020):109391. https://doi.org/10.1016/j.ecolmodel.2020.109391
4. Lawrence J, Maier DE, Stroshine RL (2013) Three-dimensional transient heat, mass, momentum, and species transfer in the stored grain ecosystem: part II. Model validation. Trans ASABE 56(1):189–201
5. Wawrzyniak J (2021) Prediction of fungal infestation in stored barley ecosystems using artificial neural networks. LWT 137(May 2020):110367. https://doi.org/10.1016/j.lwt.2020.110367
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