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The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method

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Main Author: Choo, Tze Chen
Other Authors: School of Bioprocess Engineering
Format: Other
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Harumanis
ArcGIS software
Greenhouse
Soil > Evaluation
NPK level
Soil and water management
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73348
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spelling my.unimap-733482022-01-13T02:40:40Z The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method Choo, Tze Chen School of Bioprocess Engineering Harumanis ArcGIS software Greenhouse Soil -- Evaluation NPK level Soil and water management Access is limited to UniMAP community. The spatial and temporal of N, P, and K in the soil were studied in greenhouse (GH05) at Sustainable Agrotechnology Institute (INSAT), University Malaysia Perlis (UniMAP), Campus Sungai Chuchuh, Padang Besar, Perlis. The objectives of this study are to determine and analyse the spatial and temporal NPK level of Harumanis plant in Greenhouse (GH05) using ArcGIS software. Besides, the best interpolation methods to predict the NPK level at the unsampled location were evaluated. Based on the results obtained from the soil analysis indicates that the range of the NPK level in the study area were 0.01-0.12% (N), 0.01-0.06% (P) and 0.13-0.33 (K) respectively. By using the mapping technique, the nutrient maps showed that the study area (GH05) was deficient of N whereas P and K were adequate. Furthermore, the best interpolation for N, P and K were evaluated by comparing the Mean-Squared Error (MSE) and Goodness of Prediction Estimate (G). Kriging was the best interpolation method for N whereas IDW and Spline were the best interpolation method for P and K respectively. The best interpolation method for N is chosen based of the MSE from IDW which was 1.3020×10-3. On the other hand, the best interpolation for P was based on the MSE and G value obtained from Kriging of P which were 1.6928×10-4 and -13.18 respectively. For K, Spline was chosen as the best interpolation based on the MSE and G value which were 2.7005×10-4 and 93.29 respectively. In this study, it implies that precision farming provides a useful management tools to improve the effectiveness of the fertilizer management. 2022-01-13T02:40:40Z 2022-01-13T02:40:40Z 2017-06 Other http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73348 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Harumanis
ArcGIS software
Greenhouse
Soil -- Evaluation
NPK level
Soil and water management
spellingShingle Harumanis
ArcGIS software
Greenhouse
Soil -- Evaluation
NPK level
Soil and water management
Choo, Tze Chen
The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
description Access is limited to UniMAP community.
author2 School of Bioprocess Engineering
author_facet School of Bioprocess Engineering
Choo, Tze Chen
format Other
author Choo, Tze Chen
author_sort Choo, Tze Chen
title The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
title_short The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
title_full The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
title_fullStr The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
title_full_unstemmed The evaluation of soil NPK mapping of Harumanis plant under greenhouse in ArcGIS software using statistical method
title_sort evaluation of soil npk mapping of harumanis plant under greenhouse in arcgis software using statistical method
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/73348
_version_ 1724610032611360768
score 13.214268

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