Statistical models for chili productivity
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...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Hikari
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35468/ |
| _version_ | 1848848063933710336 |
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| author | Wijayanto, Hari Sumertajaya, I. Made Fitrianto, Anwar Sri Wahyuni, |
| author_facet | Wijayanto, Hari Sumertajaya, I. Made Fitrianto, Anwar Sri Wahyuni, |
| author_sort | Wijayanto, Hari |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T09:28:33Z |
| format | Article |
| id | upm-35468 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:28:33Z |
| publishDate | 2014 |
| publisher | Hikari |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-354682016-01-11T02:47:55Z http://psasir.upm.edu.my/id/eprint/35468/ Statistical models for chili productivity Wijayanto, Hari Sumertajaya, I. Made Fitrianto, Anwar Sri Wahyuni, 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. Hikari 2014 Article PeerReviewed 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 http://www.m-hikari.com/ams/ams-2014/ams-1-4-2014/index.html 10.12988/ams.2014.311616 |
| spellingShingle | Wijayanto, Hari Sumertajaya, I. Made Fitrianto, Anwar Sri Wahyuni, Statistical models for chili productivity |
| title | Statistical models for chili productivity |
| title_full | Statistical models for chili productivity |
| title_fullStr | Statistical models for chili productivity |
| title_full_unstemmed | Statistical models for chili productivity |
| title_short | Statistical models for chili productivity |
| title_sort | statistical models for chili productivity |
| url | http://psasir.upm.edu.my/id/eprint/35468/ http://psasir.upm.edu.my/id/eprint/35468/ http://psasir.upm.edu.my/id/eprint/35468/ |