Rice yield prediction model with respect to crop healthiness and soil fertility

Citation

Renny Eka Putri and Yahya, Azmi and Adam, Nor Mariah and Abd Aziz, Samsuzana (2019) Rice yield prediction model with respect to crop healthiness and soil fertility. Food Research, 3 (2). pp. 174-180. ISSN 2550-2166

Abstract

The main staple food for most people in the world precisely in Asia is rice also known as another name Oryza sativa L. This study aimed to establish a rice yield prediction model based on crop healthiness and soil fertility in Malaysia. Multiple linear regressions (MLR) model was used to develop a relationship between a dependent variable, Y (rice yield) and three predictor variables, X (crop healthiness and soil nutrient). A model was developed to predict rice yield based on crop healthiness and soil nutrient variability including all interaction variables with an overall R2 = 0.6403. The information obtained from variability could assist farmers in making management decisions to improve cropping practices for succeeding rice crops. This study may aid in enhancing the rice yield and the profitability of Malaysia farmers.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.26656/fr.2017.3(2).117
Publisher:	Rynnye Lyan Resources
Keywords:	Rice yield; Crop healthiness; Soil nutrient; Multiple linear regressions
Depositing User:	Mr. Sazali Mohamad
Date Deposited:	03 Sep 2020 06:46
Last Modified:	03 Sep 2020 06:48
Altmetrics:	http://www.altmetric.com/details.php?domain=psair.upmedu.my&doi= 10.26656/fr.2017.3(2).117
URI:	http://psasir.upm.edu.my/id/eprint/82024
Statistic Details:	View Download Statistic

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