An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device

Liu, Wei; Hu, Jianping; Zhao, Xingsheng; Yao, Ming; Lakhiar, Imran Ali; Zhao, Jinshan; Liu, Jiaxin; Wang, Wei

doi:10.3390/s21010080

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…The conveying part of the groove wheel fertilizer device is divided into a forced layer and a driven layer. The conveying amount of the forced layer depends on the outer contour characteristics of the groove wheel, while the conveying amount of the driven layer is uncertain [19]. In this study, the fertilizer device that was designed did not have a driven layer.…”

Section: Structure and Working Principlesmentioning

confidence: 85%

Development and Optimization of an Offset Spiral Tooth Fertilizer Discharge Device

Fang,

Yang,

Luo

et al. 2024

Agriculture

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Due to factors such as a small amount of fertilizer application during rice topdressing and slow machine speed, the ordinary fertilizer discharge device fails to distribute the fertilizer uniformly and accurately as required, making it difficult to meet the needs of precise rice topdressing. This research focuses on the development of an offset spiral tooth fertilizer discharge device suitable for rice topdressing. The study analyzes the amount of fertilizer discharged in one cycle, the fertilizer force, and the motion of the fertilizer particles. In order to enhance the uniformity of the fertilizer discharge device at a low speed and small volume, the discrete element method is employed to conduct experimental research on the key structural parameters that affect the one-cycle amount of discharged fertilizer and the dynamics of the fertilizer discharge device. Through single-factor tests, it was found that the angle, height, number of spiral teeth, and diameter of the fertilizer discharge wheel are closely associated with the fertilizer discharge performance. To further investigate the impact of these four parameters on the fertilizer discharge performance, a regression combination test of the four factors is conducted based on the range optimized by the single-factor tests. A multi-objective mathematical model, considering the key parameters of fertilizer uniformity coefficient, one-cycle amount of fertilizer, and fertilizer discharge torque, is established at three speeds: 20, 55, and 90 rpm. The response surface method is utilized to analyze the influence of the interaction factors on the fertilizer discharge performance. The optimal combination of the key structural parameters was determined as follows: spiral tooth angle of 35.42°, tooth height of 9.02 mm, discharge wheel diameter of 57.43 mm, and tooth amount of 9.37. The bench test results of the device, using the optimal parameter combination and a fertilizer discharge speed of 0–90 rpm, were obtained for four commonly used rice fertilizers. The maximum variation coefficient of fertilizer discharge was found to be 10.42%. The one-cycle amount of fertilizer discharge was measured to be 19.82 ± 0.72 (A Kang), 17.20 ± 0.69 (Ba Tian), 20.34 ± 0.54 (Yaran), and 14.51 ± 0.44 (granular urea). The fertilizer discharge torque remained stable. These results indicate that the achieved optimization meets the precise fertilizer application requirements and can provide technical support for precise topdressing operations.

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Section: Structure and Working Principlesmentioning

confidence: 85%

Development and Optimization of an Offset Spiral Tooth Fertilizer Discharge Device

Fang,

Yang,

Luo

et al. 2024

Agriculture

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“…Liu et al [8] developed "a mechatronic system for a uniformity of the seed spacing that includes an Embedded controller, shaft encoder for measuring travel speed, electric motors, seed box, seed meters, and power supply" (Fig. 2).…”

Section: Working Principle and Components Of Electronic Sowing/planti...mentioning

confidence: 99%

Microcontroller Implementation in Precision Planting: A Review

Beg,

Chauhan

2024

AJAAR

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Precision farming, also known as precision agriculture, is a crop management method that optimizes agricultural production by utilizing technology and data for precise placement of seed, fertilizer and pesticides. It enhances increase crop yields, reduce waste, and reduce environmental impact by applying the appropriate amount of inputs, such as seed, water, fertilizer, and pesticides for each crop. Farmers can reduce expenses by reducing the usage of expensive inputs while increasing yields and crop quality by employing precision farming techniques. Commercially available planters normally use mechanical metering systems which have many limitations including, skidding of the wheel, non-uniform seed rate, wastage of the seed and higher maintenance cost. It is evident from recent researchers that irregularly in seed placement, which is generally caused due to wheel slippage and seed metering systems powered by electric or hydraulic motor can maintain accurate seed placement and can work at higher speeds compared to traditional planters.

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“…Parallel plate capacitive sensors are often used to detect the sowing of large seed particles. For small-and medium-sized seeds, researchers have improved the sensitivity of the sensor by improving the structure of the pole plate: for the real-time monitoring of corn sowing, an E-shaped fork-finger capacitive sensor was used [23]. To detect the seeding condition of a corn rower, an orthogonal interdigital capacitive sensor was constructed to boost the signal intensity of the sensor by increasing the area of the pole plate [24].…”

Section: Introductionmentioning

confidence: 99%

Seed State-Detection Sensor for a Cotton Precision Dibble

Ren,

Wang,

et al. 2023

Agriculture

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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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An Adaptive Roller Speed Control Method Based on Monitoring Value of Real-Time Seed Flow Rate for Flute-Roller Type Seed-Metering Device

Cited by 8 publications

References 28 publications

Development and Optimization of an Offset Spiral Tooth Fertilizer Discharge Device

Development and Optimization of an Offset Spiral Tooth Fertilizer Discharge Device

Microcontroller Implementation in Precision Planting: A Review

Seed State-Detection Sensor for a Cotton Precision Dibble

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