PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG
Potato production in Indonesia decreased by 2.43% from 1,314,657 in 2019 and 1,282,768 tons in 2020. One of the causes of the decline in potato production is a lack of potassium. Potassium nutrient deficiency can be caused by fertilization that is not yet precise and is still done conventionally. Th...
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Format: | Article |
Language: | English |
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Universitas Brawijaya
2022-01-01
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Series: | JTSL (Jurnal Tanah dan Sumberdaya Lahan) |
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Online Access: | https://jtsl.ub.ac.id/index.php/jtsl/article/view/748 |
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author | Deffi Armita Aditya Nugraha Putra S Sudarto Istika Nita Hana Kusumawati Dekan Rahmat Wahyudianto Hanifah Ainur Dienna Naafi Tiara Windari Achmad Bima Fauzi Ivena Hafshah Khairunnisa Sri Agustiningsih Rosy Lesmono Putri |
author_facet | Deffi Armita Aditya Nugraha Putra S Sudarto Istika Nita Hana Kusumawati Dekan Rahmat Wahyudianto Hanifah Ainur Dienna Naafi Tiara Windari Achmad Bima Fauzi Ivena Hafshah Khairunnisa Sri Agustiningsih Rosy Lesmono Putri |
author_sort | Deffi Armita |
collection | DOAJ |
description | Potato production in Indonesia decreased by 2.43% from 1,314,657 in 2019 and 1,282,768 tons in 2020. One of the causes of the decline in potato production is a lack of potassium. Potassium nutrient deficiency can be caused by fertilization that is not yet precise and is still done conventionally. The purpose of this study was to estimate the nutrient content of potassium using Sentinel 2-A. This study observed 50 points that were determined through the free grid method. Sentinel 2-A was transformed into GLI, GNDVI, NDVI which is the vegetation index and NDSI, and SAVI which is the soil index. The results showed that plant K correlated with GLI CS index (r = -0,46), NDVI CS (r = -0,48) and NDSI CS (r = -0,46). NDVI CS (R2 =2 3%) is the most accurate index in estimating the nutrient content of Potassium than GLI CS (R2 = 21%) and NDSI CS (R2 = 21%). Based on the results of the plant K regression test and NDVI CS, the regression equation y = 1,8003 + (-0,5716 NDVI CS) was obtained. The results of the validation test showed that the t table (-3.18) > t count (2.15) so that there is a significant difference in the estimation results of potassium with the results of potassium obtained in the field. Based on the results of the validation test which were significantly different, the productivity estimation model could not be used to estimate the potassium nutrient in potatoes.
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first_indexed | 2024-03-08T04:05:30Z |
format | Article |
id | doaj.art-482bd381e2694b29ab89678513e5ced9 |
institution | Directory Open Access Journal |
issn | 2549-9793 |
language | English |
last_indexed | 2024-03-08T04:05:30Z |
publishDate | 2022-01-01 |
publisher | Universitas Brawijaya |
record_format | Article |
series | JTSL (Jurnal Tanah dan Sumberdaya Lahan) |
spelling | doaj.art-482bd381e2694b29ab89678513e5ced92024-02-09T05:36:44ZengUniversitas BrawijayaJTSL (Jurnal Tanah dan Sumberdaya Lahan)2549-97932022-01-019110.21776/ub.jtsl.2022.009.1.15PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANGDeffi Armita0Aditya Nugraha Putra1S Sudarto2Istika Nita3Hana Kusumawati4Dekan Rahmat Wahyudianto5Hanifah Ainur Dienna6Naafi Tiara Windari7Achmad Bima Fauzi8Ivena Hafshah Khairunnisa9Sri Agustiningsih10Rosy Lesmono Putri11Brawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityBrawijaya UniversityPotato production in Indonesia decreased by 2.43% from 1,314,657 in 2019 and 1,282,768 tons in 2020. One of the causes of the decline in potato production is a lack of potassium. Potassium nutrient deficiency can be caused by fertilization that is not yet precise and is still done conventionally. The purpose of this study was to estimate the nutrient content of potassium using Sentinel 2-A. This study observed 50 points that were determined through the free grid method. Sentinel 2-A was transformed into GLI, GNDVI, NDVI which is the vegetation index and NDSI, and SAVI which is the soil index. The results showed that plant K correlated with GLI CS index (r = -0,46), NDVI CS (r = -0,48) and NDSI CS (r = -0,46). NDVI CS (R2 =2 3%) is the most accurate index in estimating the nutrient content of Potassium than GLI CS (R2 = 21%) and NDSI CS (R2 = 21%). Based on the results of the plant K regression test and NDVI CS, the regression equation y = 1,8003 + (-0,5716 NDVI CS) was obtained. The results of the validation test showed that the t table (-3.18) > t count (2.15) so that there is a significant difference in the estimation results of potassium with the results of potassium obtained in the field. Based on the results of the validation test which were significantly different, the productivity estimation model could not be used to estimate the potassium nutrient in potatoes. https://jtsl.ub.ac.id/index.php/jtsl/article/view/748potassiumpotatoSentinelvegetation index |
spellingShingle | Deffi Armita Aditya Nugraha Putra S Sudarto Istika Nita Hana Kusumawati Dekan Rahmat Wahyudianto Hanifah Ainur Dienna Naafi Tiara Windari Achmad Bima Fauzi Ivena Hafshah Khairunnisa Sri Agustiningsih Rosy Lesmono Putri PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG JTSL (Jurnal Tanah dan Sumberdaya Lahan) potassium potato Sentinel vegetation index |
title | PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG |
title_full | PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG |
title_fullStr | PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG |
title_full_unstemmed | PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG |
title_short | PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG |
title_sort | penerapan citra sentinel 2 a dalam pendugaan kalium pada kentang |
topic | potassium potato Sentinel vegetation index |
url | https://jtsl.ub.ac.id/index.php/jtsl/article/view/748 |
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