Abd. Rahman, Roslan and Mona, Tahmasebi (2012) Artificial neural network model for prediction of dynamical behavior in spray boom. In: International Conference on Man Machine System (ICoMMS 2012), 27-28 Feb 2012, Bayview Beach Resort, Penang.
Full text not available from this repository.
Official URL: https://icomms.unimap.edu.my/icomms12/
Abstract
Spray booms are usually used in farming to broadcast pesticide and chemicals. Nowadays, the widths of sprayers are increasing permanently due to increase in the width of farm yards. This issue leads to unwanted vibration in sprayer, causing overdoses or under-doses on the field. In active vibration control of sprayers, a model to predict the dynamical behavior of sprayer is necessary. In this study, a novel method is presented to predict dynamic behavior in spray boom by using artificial neural network modeling.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Pesticide, artificial neural network, vibration control |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 34007 |
| Deposited By: | Liza Porijo |
| Deposited On: | 09 Aug 2017 03:28 |
| Last Modified: | 22 Aug 2017 08:09 |
Repository Staff Only: item control page
