Estimation of red tip disease severity in pineapple using a non-contact sensor approach.
Red tip disease on pineapple (Ananas comosus) was first recognized about 20 years ago in a commercial pineapple stand located in Simpang Renggam, Johor, Peninsular Malaysia. Since its discovery, there has been no confirmation on the causal agent of red tip disease. The epidemiology of red tip dise...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Scientific Research Publishing Inc.
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/29474/1/Estimation%20of%20red%20tip%20disease%20severity%20in%20pineapple%20using%20a%20non.pdf |
| _version_ | 1796971546661617664 |
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| author | Balasundram, Siva Kumar Abu Kassim, Faizah Vadamalai, Ganesan Mohd Hanif, Ahmad Husni |
| author_facet | Balasundram, Siva Kumar Abu Kassim, Faizah Vadamalai, Ganesan Mohd Hanif, Ahmad Husni |
| author_sort | Balasundram, Siva Kumar |
| collection | UPM |
| description |
Red tip disease on pineapple (Ananas comosus) was first recognized about 20 years ago in a commercial pineapple stand located in Simpang Renggam, Johor, Peninsular Malaysia. Since its discovery, there has been no confirmation on the causal agent of red tip disease. The epidemiology of red tip disease is still not fully understood. However, based on disease symptoms and field transmission mode, red tip disease seems to be strongly associated with viral infection. The aim of this work was to assess the feasibility of using an optical sensor to estimate red tip disease severity. This work was performed in a commercial pineapple plantation located in Simpang Renggam, Johor. Four observation plots bearing pineapple variety SR36 were demarcated based on crop growth stage. Each plot comprised a total of eighty corresponding measurements of percent Disease Severity (% DS) and Normalized Difference Vegetation Index (NDVI). Our data showed a strong correlation between % DS and NDVI. The 7- and 11-month plantings registered a correlation coefficient (r) of -0.83 and -0.88, respectively. The negative correlation infers that NDVI increases when disease severity is low. This is expected since healthy leaves reflect more near-infrared light and less visible light which results in a higher NDVI. The regression of NDVI on % DS for the 7-month planting was explained by: % DS = 181.6 - 185.6*NDVI. Meanwhile, the regression of NDVI on % DS for the 11-month planting was explained by: % DS = 213.2 - 219.8*NDVI. The linear fit between measured % DS and estimated % DS from the 7-month and 11-month plantings was relatively strong. This work has demonstrated that NDVI is a reliable predictor of % DS in pineapple. |
| first_indexed | 2024-03-06T08:14:37Z |
| format | Article |
| id | upm.eprints-29474 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T08:14:37Z |
| publishDate | 2013 |
| publisher | Scientific Research Publishing Inc. |
| record_format | dspace |
| spelling | upm.eprints-294742015-08-24T08:18:33Z http://psasir.upm.edu.my/id/eprint/29474/ Estimation of red tip disease severity in pineapple using a non-contact sensor approach. Balasundram, Siva Kumar Abu Kassim, Faizah Vadamalai, Ganesan Mohd Hanif, Ahmad Husni Red tip disease on pineapple (Ananas comosus) was first recognized about 20 years ago in a commercial pineapple stand located in Simpang Renggam, Johor, Peninsular Malaysia. Since its discovery, there has been no confirmation on the causal agent of red tip disease. The epidemiology of red tip disease is still not fully understood. However, based on disease symptoms and field transmission mode, red tip disease seems to be strongly associated with viral infection. The aim of this work was to assess the feasibility of using an optical sensor to estimate red tip disease severity. This work was performed in a commercial pineapple plantation located in Simpang Renggam, Johor. Four observation plots bearing pineapple variety SR36 were demarcated based on crop growth stage. Each plot comprised a total of eighty corresponding measurements of percent Disease Severity (% DS) and Normalized Difference Vegetation Index (NDVI). Our data showed a strong correlation between % DS and NDVI. The 7- and 11-month plantings registered a correlation coefficient (r) of -0.83 and -0.88, respectively. The negative correlation infers that NDVI increases when disease severity is low. This is expected since healthy leaves reflect more near-infrared light and less visible light which results in a higher NDVI. The regression of NDVI on % DS for the 7-month planting was explained by: % DS = 181.6 - 185.6*NDVI. Meanwhile, the regression of NDVI on % DS for the 11-month planting was explained by: % DS = 213.2 - 219.8*NDVI. The linear fit between measured % DS and estimated % DS from the 7-month and 11-month plantings was relatively strong. This work has demonstrated that NDVI is a reliable predictor of % DS in pineapple. Scientific Research Publishing Inc. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29474/1/Estimation%20of%20red%20tip%20disease%20severity%20in%20pineapple%20using%20a%20non.pdf Balasundram, Siva Kumar and Abu Kassim, Faizah and Vadamalai, Ganesan and Mohd Hanif, Ahmad Husni (2013) Estimation of red tip disease severity in pineapple using a non-contact sensor approach. Agricultural Sciences, 4 (4). pp. 206-208. ISSN 2156-8553; ESSN: 2156-8561 http://www.scirp.org/journal/Home.aspx?IssueID=2903#30779 10.4236/as.2013.44029 English |
| spellingShingle | Balasundram, Siva Kumar Abu Kassim, Faizah Vadamalai, Ganesan Mohd Hanif, Ahmad Husni Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title | Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title_full | Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title_fullStr | Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title_full_unstemmed | Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title_short | Estimation of red tip disease severity in pineapple using a non-contact sensor approach. |
| title_sort | estimation of red tip disease severity in pineapple using a non contact sensor approach |
| url | http://psasir.upm.edu.my/id/eprint/29474/1/Estimation%20of%20red%20tip%20disease%20severity%20in%20pineapple%20using%20a%20non.pdf |
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