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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Main Authors: 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
Format: Article
Language:English
Published: Universitas Brawijaya 2022-01-01
Series:JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Subjects:
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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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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