Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine
In this study, we developed a monitoring system to accurately track the seeding rate and to identify the locations where the mechanical pot-seeding machine failed to sow seeds correctly. The monitoring system employs diverse image processing techniques, including the Hough transform, hue–saturation–...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/10/2000 |
| _version_ | 1797575027727532032 |
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| author | Seung-Jun Kim Hyeon-Seung Lee Seok-Joon Hwang Jeong-Hun Kim Moon-Kyeong Jang Ju-Seok Nam |
| author_facet | Seung-Jun Kim Hyeon-Seung Lee Seok-Joon Hwang Jeong-Hun Kim Moon-Kyeong Jang Ju-Seok Nam |
| author_sort | Seung-Jun Kim |
| collection | DOAJ |
| description | In this study, we developed a monitoring system to accurately track the seeding rate and to identify the locations where the mechanical pot-seeding machine failed to sow seeds correctly. The monitoring system employs diverse image processing techniques, including the Hough transform, hue–saturation–value color space conversion, image morphology techniques, and Gaussian blur, to accurately pinpoint the seeding rate and the locations where seeds are missing. To determine the optimal operating conditions for the seeding rate monitoring system, a factorial experiment was conducted by varying the brightness and saturation values of the image data. When the derived optimal operating conditions were applied, the system consistently achieved a 100% seed recognition rate across various seeding conditions. The monitoring system developed in this study has the potential to significantly reduce the labor required for supplementary planting by enabling the real-time identification of locations where seeds were not sown during pot-seeding operations. |
| first_indexed | 2024-03-10T21:31:27Z |
| format | Article |
| id | doaj.art-96ee495a90f94fde88ec98d5f0bc03e8 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T21:31:27Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-96ee495a90f94fde88ec98d5f0bc03e82023-11-19T15:19:42ZengMDPI AGAgriculture2077-04722023-10-011310200010.3390/agriculture13102000Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding MachineSeung-Jun Kim0Hyeon-Seung Lee1Seok-Joon Hwang2Jeong-Hun Kim3Moon-Kyeong Jang4Ju-Seok Nam5Department of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of KoreaForest Technology and Management Research Center, National Institute of Forest Science, Pocheon 11186, Republic of KoreaDepartment of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of KoreaDepartment of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of KoreaDepartment of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of KoreaDepartment of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of KoreaIn this study, we developed a monitoring system to accurately track the seeding rate and to identify the locations where the mechanical pot-seeding machine failed to sow seeds correctly. The monitoring system employs diverse image processing techniques, including the Hough transform, hue–saturation–value color space conversion, image morphology techniques, and Gaussian blur, to accurately pinpoint the seeding rate and the locations where seeds are missing. To determine the optimal operating conditions for the seeding rate monitoring system, a factorial experiment was conducted by varying the brightness and saturation values of the image data. When the derived optimal operating conditions were applied, the system consistently achieved a 100% seed recognition rate across various seeding conditions. The monitoring system developed in this study has the potential to significantly reduce the labor required for supplementary planting by enabling the real-time identification of locations where seeds were not sown during pot-seeding operations.https://www.mdpi.com/2077-0472/13/10/2000coated seedmonitoring systempot-seeding machineseeding rate |
| spellingShingle | Seung-Jun Kim Hyeon-Seung Lee Seok-Joon Hwang Jeong-Hun Kim Moon-Kyeong Jang Ju-Seok Nam Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine Agriculture coated seed monitoring system pot-seeding machine seeding rate |
| title | Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine |
| title_full | Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine |
| title_fullStr | Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine |
| title_full_unstemmed | Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine |
| title_short | Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine |
| title_sort | development of seeding rate monitoring system applicable to a mechanical pot seeding machine |
| topic | coated seed monitoring system pot-seeding machine seeding rate |
| url | https://www.mdpi.com/2077-0472/13/10/2000 |
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