Seed State-Detection Sensor for a Cotton Precision Dibble

In Xinjiang, precision hole-sowing technology is used for cotton cultivation. A disc-type seed disperser has problems with missing seeds and multi-seeding; therefore, an interdigital (multiple pairs of coplanar electrodes crossed) capacitance sensor is designed to determine the seed pick-up status b...

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Main Authors: Ling Ren, Shuang Wang, Bin Hu, Tao Li, Ming Zhao, Yuquan Zhang, Miao Yang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/13/8/1515
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author Ling Ren
Shuang Wang
Bin Hu
Tao Li
Ming Zhao
Yuquan Zhang
Miao Yang
author_facet Ling Ren
Shuang Wang
Bin Hu
Tao Li
Ming Zhao
Yuquan Zhang
Miao Yang
author_sort Ling Ren
collection DOAJ
description In Xinjiang, precision hole-sowing technology is used for cotton cultivation. A disc-type seed disperser has problems with missing seeds and multi-seeding; therefore, an interdigital (multiple pairs of coplanar electrodes crossed) capacitance sensor is designed to determine the seed pick-up status by gathering electrical capacity information. Firstly, a theoretical derivation is performed for calculating the capacitance of the sensor, and it is concluded that the interdigital spacing, interdigital width, and interdigital logarithm all affect the output capacitance. Then, by analyzing the working process of the dibble, the assemblage position of the sensor and the dimensional constraints were determined. In order to explore the impact of various structural parameters on the sensor’s performance (signal strength and capacitance variation), a Maxwell simulation platform was established, and orthogonal tests were created to optimize the structural parameters. In addition, the STM32 microcontroller is utilized as the core, and it is linked with the PCAP01-AD chip to form a tiny capacitance-detecting circuit. Finally, the capacitance threshold division test determined the capacitance threshold at different seed states. The test results demonstrate that the interdigital capacitive sensor can accurately determine the precision dibble’s seeding status, with detection accuracies of 96.9% for normal seeding, 99.67% for miss-seeding, and 93.77% for multiple seeds. These results can be used as a research reference for capacitive seeding status-detection technology.
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spelling doaj.art-3802c97567e14096898b78de6c4fe2092023-11-18T23:51:11ZengMDPI AGAgriculture2077-04722023-07-01138151510.3390/agriculture13081515Seed State-Detection Sensor for a Cotton Precision DibbleLing Ren0Shuang Wang1Bin Hu2Tao Li3Ming Zhao4Yuquan Zhang5Miao Yang6College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaIn Xinjiang, precision hole-sowing technology is used for cotton cultivation. A disc-type seed disperser has problems with missing seeds and multi-seeding; therefore, an interdigital (multiple pairs of coplanar electrodes crossed) capacitance sensor is designed to determine the seed pick-up status by gathering electrical capacity information. Firstly, a theoretical derivation is performed for calculating the capacitance of the sensor, and it is concluded that the interdigital spacing, interdigital width, and interdigital logarithm all affect the output capacitance. Then, by analyzing the working process of the dibble, the assemblage position of the sensor and the dimensional constraints were determined. In order to explore the impact of various structural parameters on the sensor’s performance (signal strength and capacitance variation), a Maxwell simulation platform was established, and orthogonal tests were created to optimize the structural parameters. In addition, the STM32 microcontroller is utilized as the core, and it is linked with the PCAP01-AD chip to form a tiny capacitance-detecting circuit. Finally, the capacitance threshold division test determined the capacitance threshold at different seed states. The test results demonstrate that the interdigital capacitive sensor can accurately determine the precision dibble’s seeding status, with detection accuracies of 96.9% for normal seeding, 99.67% for miss-seeding, and 93.77% for multiple seeds. These results can be used as a research reference for capacitive seeding status-detection technology.https://www.mdpi.com/2077-0472/13/8/1515sensorcotton seedscapacitance detectionelectronicsmechanization
spellingShingle Ling Ren
Shuang Wang
Bin Hu
Tao Li
Ming Zhao
Yuquan Zhang
Miao Yang
Seed State-Detection Sensor for a Cotton Precision Dibble
Agriculture
sensor
cotton seeds
capacitance detection
electronics
mechanization
title Seed State-Detection Sensor for a Cotton Precision Dibble
title_full Seed State-Detection Sensor for a Cotton Precision Dibble
title_fullStr Seed State-Detection Sensor for a Cotton Precision Dibble
title_full_unstemmed Seed State-Detection Sensor for a Cotton Precision Dibble
title_short Seed State-Detection Sensor for a Cotton Precision Dibble
title_sort seed state detection sensor for a cotton precision dibble
topic sensor
cotton seeds
capacitance detection
electronics
mechanization
url https://www.mdpi.com/2077-0472/13/8/1515
work_keys_str_mv AT lingren seedstatedetectionsensorforacottonprecisiondibble
AT shuangwang seedstatedetectionsensorforacottonprecisiondibble
AT binhu seedstatedetectionsensorforacottonprecisiondibble
AT taoli seedstatedetectionsensorforacottonprecisiondibble
AT mingzhao seedstatedetectionsensorforacottonprecisiondibble
AT yuquanzhang seedstatedetectionsensorforacottonprecisiondibble
AT miaoyang seedstatedetectionsensorforacottonprecisiondibble