Development and assessment of belt-drive seedlings transmission device for fully-automatic vegetable transplanter

Yang, Qizhi; Ahmad, Ibrar; Faheem, Muhammad; Siddique, Bushra; Xu, Hu; Addy, Min

doi:10.1016/j.compag.2020.105958

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Sweet potato (Ipomoea batatas L. Lam) is not only one of the main food crops but also a high-quality anti-cancer health food and a new energy source [1][2][3] . As the world's largest producer of sweet potatoes, China has the largest planting area with more than 3 million hectares of sweet potatoes throughout the year [4] . However, sweet potato planting mainly depends on manual, which is not only labor-intensive but also very inefficient.…”

Section: Introductionmentioning

confidence: 99%

Simulation and experiment of a transplanting mechanism for sweet potato seedlings with ‘boat-bottom’ transplanting trajectory

Shao,

Zhang,

Xuan

et al. 2023

International Journal of Agricultural and Biological Engineering

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Planting on mulched soil is the main cultivation mode for sweet potato slips in spring in northern China. The 'boatbottom' planting method can bring high quantity and similar size for sweet potatoes. In this study, a mechanism for transplanting sweet potato seedlings on mulched was proposed, which could realize 'boat-bottom' transplanting trajectory and improve the planting efficiency. The virtual prototype model of the transplanting mechanism was constructed using ADAMS software, a soil particle model and a flexible body model of sweet potato seedling were established using EDEM software, and then a joint simulation was carried out to find out the interaction of mechanism, seedling and soil. By simulation, the trajectory of the clamping point, the sweet potato seedling posture, soil particles, pits, and relative force were all analyzed, which verified the rationality of the transplanting mechanism design. Finally, three kinds of sweet potato seedlings, watermelon red, Yan-25, and purple sweet potato seedlings were selected, and transplanting experiments were carried out on the mulch to verify that the theoretical trajectory, the simulated trajectory, and the actual trajectory were consistent. The transplanting success rates of the three kinds of sweet potato seedlings were all above 85%, indicating that different varieties of sweet potato seedlings had little effect on the transplanting effect of the mechanism, which reflected that the transplanting mechanism had good practicability and adaptability.

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Section: Introductionmentioning

confidence: 99%

Simulation and experiment of a transplanting mechanism for sweet potato seedlings with ‘boat-bottom’ transplanting trajectory

Shao,

Zhang,

Xuan

et al. 2023

International Journal of Agricultural and Biological Engineering

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show abstract

“…There are a large number of sensors and artificial intelligence technologies used for the monitoring of transplanting equipment for agricultural production [7][8][9][10], visual localization [11,12], and fault diagnosis [13,14]. These works have greatly advanced the development of transplant equipment technology.…”

Section: Introductionmentioning

confidence: 99%

Digital Twins and Data-Driven in Plant Factory: An Online Monitoring Method for Vibration Evaluation and Transplanting Quality Analysis

et al. 2023

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The plant factory transplanter is a key component of the plant factory system. Its operation status directly affects the quality and survival rate of planted seedlings, which in turn affects the overall yield and economic efficiency. To monitor the operation status and transplanting quality of a transplanting machine in a timely manner, the primary task is to use a computerized and easy-to-use method to monitor the transplanting units. Inspired by the latest developments in augmented reality and robotics, a digital twin model-based and data-driven online monitoring method for plant factory transplanting equipment is proposed. First, a data-driven and virtual model approach is combined to construct a multi-domain digital twin of the transplanting equipment. Then, taking the vibration frequency domain signal above the transplanting manipulator and the image features of the transplanting seedling tray as input variables, the evaluation method and configuration method of the plant factory transplanter digital twin system are proposed. Finally, the effect of the transplanter is evaluated, and the cycle can be repeated to optimize the transplanter to achieve optimal operation parameters. The results show that the digital twin model can effectively use the sensor data to identify the mechanical vibration characteristics and avoid affecting transplanting quality due to mechanical resonance. At a transplanting rate of 3000 plants/h, the transplanting efficiency can be maintained at a high level and the vibration signal of the X, Y, and Z-axis above the transplanting manipulator is relatively calm. In this case, Combined the optimal threshold method with the traditional Wiener algorithm, the identification rate of healthy potted seedlings can reach 94.3%. Through comprehensively using the optimal threshold method and 3D block matching filtering algorithm for image threshold segmentation and denoising, the recognition rate of healthy seedlings has reached over 96.10%. In addition, the developed digital twin can predict the operational efficiency and optimal timing of the detected transplanter, even if the environmental and sensor data are not included in the training. The proposed digital twin model can be used for damage detection and operational effectiveness assessment of other plant factory equipment structures.

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Design and control of a side dense transplanting machine for sweet potato seedlings on mulch film

Zhang,

Zhu,

Zhang

et al. 2024

Computers and Electronics in Agriculture

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Development and assessment of belt-drive seedlings transmission device for fully-automatic vegetable transplanter

Cited by 7 publications

References 23 publications

Simulation and experiment of a transplanting mechanism for sweet potato seedlings with ‘boat-bottom’ transplanting trajectory

Simulation and experiment of a transplanting mechanism for sweet potato seedlings with ‘boat-bottom’ transplanting trajectory

Digital Twins and Data-Driven in Plant Factory: An Online Monitoring Method for Vibration Evaluation and Transplanting Quality Analysis

Design and control of a side dense transplanting machine for sweet potato seedlings on mulch film

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