Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis
In the current practices, farmers typically rely on the traditional method paper-based for farming data records, which leads to human error. However, the paper-based system can be improved by the mobile app technology to ease the farmers acquiring farm data as all of the farm information will be sto...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/62457/1/FARMING.pdf |
| _version_ | 1796977625147637760 |
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| author | Roslin, Nor Athirah Che'ya, Nik Norasma Rosle, Rhushalshafira Ismail, Mohd Razi |
| author_facet | Roslin, Nor Athirah Che'ya, Nik Norasma Rosle, Rhushalshafira Ismail, Mohd Razi |
| author_sort | Roslin, Nor Athirah |
| collection | UPM |
| description | In the current practices, farmers typically rely on the traditional method paper-based for farming data records, which leads to human error. However, the paper-based system can be improved by the mobile app technology to ease the farmers acquiring farm data as all of the farm information will be stored in digital form. This study aimed to develop a smartphone agricultural management app known as Padi2U and implement User Acceptance Test (UAT) for end-users. Padi2U was developed using Master App Builder
software and integration with the multispectral imagery. Padi2U provides recommendations based on the Department of Agriculture’s (DOA), such as rice check, pest and disease control, and weed management. Through the Padi2U, farmers can access the field data to understand the crop health status online using the Normalised Difference Vegetation Index (NDVI) map derived from the multispectral images. The NDVI is correlated to the Soil Plant Analysis Development (SPAD) value, corresponding to R² = 0.4012. UAT results showed a 100 percent satisfaction score with suggestions were given to enhance the Padi2U performance. It shows that Padi2U can be improved to help farmers in the field monitoring virtually by integrating multispectral imagery and information from the field. |
| first_indexed | 2024-03-06T09:42:49Z |
| format | Article |
| id | upm.eprints-62457 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:42:49Z |
| publishDate | 2021 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-624572021-08-16T09:40:06Z http://psasir.upm.edu.my/id/eprint/62457/ Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis Roslin, Nor Athirah Che'ya, Nik Norasma Rosle, Rhushalshafira Ismail, Mohd Razi In the current practices, farmers typically rely on the traditional method paper-based for farming data records, which leads to human error. However, the paper-based system can be improved by the mobile app technology to ease the farmers acquiring farm data as all of the farm information will be stored in digital form. This study aimed to develop a smartphone agricultural management app known as Padi2U and implement User Acceptance Test (UAT) for end-users. Padi2U was developed using Master App Builder software and integration with the multispectral imagery. Padi2U provides recommendations based on the Department of Agriculture’s (DOA), such as rice check, pest and disease control, and weed management. Through the Padi2U, farmers can access the field data to understand the crop health status online using the Normalised Difference Vegetation Index (NDVI) map derived from the multispectral images. The NDVI is correlated to the Soil Plant Analysis Development (SPAD) value, corresponding to R² = 0.4012. UAT results showed a 100 percent satisfaction score with suggestions were given to enhance the Padi2U performance. It shows that Padi2U can be improved to help farmers in the field monitoring virtually by integrating multispectral imagery and information from the field. Universiti Putra Malaysia Press 2021-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62457/1/FARMING.pdf Roslin, Nor Athirah and Che'ya, Nik Norasma and Rosle, Rhushalshafira and Ismail, Mohd Razi (2021) Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis. Pertanika Journal of Science & Technology, 29 (2). pp. 809-836. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-2279-2020 10.47836/pjst.29.2.07 |
| spellingShingle | Roslin, Nor Athirah Che'ya, Nik Norasma Rosle, Rhushalshafira Ismail, Mohd Razi Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title | Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title_full | Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title_fullStr | Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title_full_unstemmed | Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title_short | Smartphone application development for rice field management through aerial imagery and Normalised Difference Vegetation Index (NDVI) Analysis |
| title_sort | smartphone application development for rice field management through aerial imagery and normalised difference vegetation index ndvi analysis |
| url | http://psasir.upm.edu.my/id/eprint/62457/1/FARMING.pdf |
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