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Statistical models for chili productivity


Citation

Wijayanto, Hari and Sumertajaya, I. Made and Fitrianto, Anwar and Sri Wahyuni, (2014) Statistical models for chili productivity. Applied Mathematical Sciences, 8 (2). 69 - 79. ISSN 1312-885X; ESSN: 1314-7552

Abstract

Horticulture is one of the important commodities in the agricultural sector. Developments of horticulture data collection have been conducting to improve planning. One of which is a method of Rumpun Counting (RC) to estimate productivity of horticultural commodities. However, the RC method is still facing difficulties in its application, for example the observation for commodity repetitive crop harvesting, such as chili. This study attempts to find out an appropriate statistical model among several alternatives for chili productivity in district Cianjur, West Java, Indonesia. We found that each group possesses a specific appropriate model.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.12988/ams.2014.311616
Publisher: Hikari
Keywords: Rumpun counting; Chili productivity; Simulation; Model
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 11 Jan 2016 02:47
Last Modified: 11 Jan 2016 02:47
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.12988/ams.2014.311616
URI: http://psasir.upm.edu.my/id/eprint/35468
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