Modelling the effect of some operational parameters on grain loss in mechanised rice harvesting: a case study in Malaysian paddy fields

Nor Azi Asminda Johari, Darius El Pebrian, Shamilah Ahmad Mokhtor, Rohaida Mohammad and Amir Hamzah Ahmad

International Journal of Agricultural Resources, Governance and Ecology, 2020, vol. 16, issue 1, 23-32

Abstract: Excessive grain loss is still a persistence problem in mechanised rice harvesting using combine harvester in Malaysian paddy fields. Therefore, this study was conducted to develop a model for predicting the effect of some operational parameters on grain loss during mechanised harvesting operation. Three operational parameters that always associated with grain loss were measured through direct field measurements on the daily harvesting operations in the sampled rice granaries. The measured parameters included field speed of combine harvester, grain moisture, and soil moisture contents. Regression and correlation analyses were employed to develop the model estimation. The results of the predictive model exposed the fitted model with a strong relationship between associated variables and established the measured parameters to determine the grain loss. The findings would be beneficial in assisting the rice farmers to predict grain loss during harvesting and minimise excessive grain loss in mechanised harvesting operations in Malaysia.

Keywords: mechanised harvesting; grain loss; combine harvester. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=107062 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijarge:v:16:y:2020:i:1:p:23-32

Access Statistics for this article

More articles in International Journal of Agricultural Resources, Governance and Ecology from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().