Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing
Rice crop height is an important agronomic trait linked to plant type and yield potential. This research developed an automatic image processing technique to detect rice crop height based on images taken by a digital camera attached to a field server. The camera acquires rice paddy images daily at a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/14/1/900 |
| _version_ | 1798005511158759424 |
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| author | Tanakorn Sritarapipat Preesan Rakwatin Teerasit Kasetkasem |
| author_facet | Tanakorn Sritarapipat Preesan Rakwatin Teerasit Kasetkasem |
| author_sort | Tanakorn Sritarapipat |
| collection | DOAJ |
| description | Rice crop height is an important agronomic trait linked to plant type and yield potential. This research developed an automatic image processing technique to detect rice crop height based on images taken by a digital camera attached to a field server. The camera acquires rice paddy images daily at a consistent time of day. The images include the rice plants and a marker bar used to provide a height reference. The rice crop height can be indirectly measured from the images by measuring the height of the marker bar compared to the height of the initial marker bar. Four digital image processing steps are employed to automatically measure the rice crop height: band selection, filtering, thresholding, and height measurement. Band selection is used to remove redundant features. Filtering extracts significant features of the marker bar. The thresholding method is applied to separate objects and boundaries of the marker bar versus other areas. The marker bar is detected and compared with the initial marker bar to measure the rice crop height. Our experiment used a field server with a digital camera to continuously monitor a rice field located in Suphanburi Province, Thailand. The experimental results show that the proposed method measures rice crop height effectively, with no human intervention required. |
| first_indexed | 2024-04-11T12:41:29Z |
| format | Article |
| id | doaj.art-e8486ee7013140cb9965c54c6d2b4a18 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:41:29Z |
| publishDate | 2014-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e8486ee7013140cb9965c54c6d2b4a182022-12-22T04:23:30ZengMDPI AGSensors1424-82202014-01-0114190092610.3390/s140100900s140100900Automatic Rice Crop Height Measurement Using a Field Server and Digital Image ProcessingTanakorn Sritarapipat0Preesan Rakwatin1Teerasit Kasetkasem2Geo-Informatics and Space Technology Development Agency (Public Organization), 120, The Government Complex (Building B), Chaeng Wattana Road, Laksi District, Bangkok 10210, ThailandGeo-Informatics and Space Technology Development Agency (Public Organization), 120, The Government Complex (Building B), Chaeng Wattana Road, Laksi District, Bangkok 10210, ThailandFaculty of Engineering, Kasetsart University, Jatujak, Bangkok 10900, ThailandRice crop height is an important agronomic trait linked to plant type and yield potential. This research developed an automatic image processing technique to detect rice crop height based on images taken by a digital camera attached to a field server. The camera acquires rice paddy images daily at a consistent time of day. The images include the rice plants and a marker bar used to provide a height reference. The rice crop height can be indirectly measured from the images by measuring the height of the marker bar compared to the height of the initial marker bar. Four digital image processing steps are employed to automatically measure the rice crop height: band selection, filtering, thresholding, and height measurement. Band selection is used to remove redundant features. Filtering extracts significant features of the marker bar. The thresholding method is applied to separate objects and boundaries of the marker bar versus other areas. The marker bar is detected and compared with the initial marker bar to measure the rice crop height. Our experiment used a field server with a digital camera to continuously monitor a rice field located in Suphanburi Province, Thailand. The experimental results show that the proposed method measures rice crop height effectively, with no human intervention required.http://www.mdpi.com/1424-8220/14/1/900rice crop height measurementfield serverdigital image processingimage segmentation |
| spellingShingle | Tanakorn Sritarapipat Preesan Rakwatin Teerasit Kasetkasem Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing Sensors rice crop height measurement field server digital image processing image segmentation |
| title | Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing |
| title_full | Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing |
| title_fullStr | Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing |
| title_full_unstemmed | Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing |
| title_short | Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing |
| title_sort | automatic rice crop height measurement using a field server and digital image processing |
| topic | rice crop height measurement field server digital image processing image segmentation |
| url | http://www.mdpi.com/1424-8220/14/1/900 |
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