Development of a metering mechanism with serial robotic arm for handling paper pot seedlings in a vegetable transplanter

Paradkar, Vikas; Raheman, Hifjur; Rahul, Kumar

doi:10.1016/j.aiia.2021.02.001

Cited by 19 publications

(9 citation statements)

References 21 publications

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“…The deployment of transplanting robots in paddy field operations is essential for increasing operational effectiveness and lowering the burden of physical labor [201]. The rice transplanter is equipped with devices, including sensors and controllers, that can detect information such as crop rows, soil quality, and moisture conditions in paddy fields in realtime, which maintains the depth and spacing of rice seedlings and prevents inconsistent depth and irregular spacing [202]. Currently, complex terrain, crop growth variability, and high accuracy requirements are the main challenges facing rice transplanting robots in paddy fields.…”

Section: Row Detection For Transplantingmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

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Crop row detection is one of the foundational and pivotal technologies of agricultural robots and autonomous vehicles for navigation, guidance, path planning, and automated farming in row crop fields. However, due to a complex and dynamic agricultural environment, crop row detection remains a challenging task. The surrounding background, such as weeds, trees, and stones, can interfere with crop appearance and increase the difficulty of detection. The detection accuracy of crop rows is also impacted by different growth stages, environmental conditions, curves, and occlusion. Therefore, appropriate sensors and multiple adaptable models are required to achieve high-precision crop row detection. This paper presents a comprehensive review of the methods and applications related to crop row detection for agricultural machinery navigation. Particular attention has been paid to the sensors and systems used for crop row detection to improve their perception and detection capabilities. The advantages and disadvantages of current mainstream crop row detection methods, including various traditional methods and deep learning frameworks, are also discussed and summarized. Additionally, the applications for different crop row detection tasks, including irrigation, harvesting, weeding, and spraying, in various agricultural scenarios, such as dryland, the paddy field, orchard, and greenhouse, are reported.

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Section: Row Detection For Transplantingmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

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“…The orientation of the end-effector must be controlled because the saplings have to be inserted vertically in the setup. The payload for the manipulator in this process is found to be around 245 g which includes the weight of the sapling, that is, 45 g [40].…”

Section: Task Definition For Synthesis Of Configurationsmentioning

confidence: 99%

Optimal synthesis of reconfigurable manipulators for robotic assistance in vertical farming

2023

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Due to the ever-increasing demand for food commodities and issues arising in their transport from rural to urban areas, commercial agricultural practices with the help of vertical farming are being taken up near urban regions. For the realization of agricultural practices on high-rise vertical farms, where human intervention is quite laborious, robotic assistance would be an effective solution to perform agricultural processes like seeding, transplanting, harvesting, health monitoring, nutrient-water supply, etc. The requirements and complexities of these tasks to be performed are different such as end-effector requirement, payload capacity required, amount of clutter while performing the task, etc. In such cases, an individual robotic configuration would not serve all the purposes and each task may require a different configuration. Purchasing a large number of configurations, as per requirement, is not economical and will also increase the cost of maintenance. Thus, the design of a reconfigurable robot manipulator is proposed in this work which can cater to modular layouts. A thorough study of the processes involved in the farming of leafy vegetables is done and the tasks to be performed by the manipulator are identified. Constrained optimization is performed based on reachability, while minimizing DoF, for the tasks of transplanting, plant heath monitoring, and harvesting to find the optimal configurations which can perform the given tasks. The study resulted in 5-DoF, 4-DoF, and 6-DoF configurations for transplanting, plant heath monitoring, and harvesting, respectively, thus emphasizing the need of a reconfigurable solution. The configurations are realized using modular library and verified to satisfy reachability to provide a complete solution.

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“…These robots have proven to dramatically increase productivity, especially in the field of electronic product assembly, medical and pharmaceutical industries [9]. Most end-effector are usually, or quasi constrain to only promote pick and place items during a vertical direction [10]; therefore, the aim of this Project is to design a delta parallel robot's end effector which can imitate the human hand assigned in picking and placing operation. The design objectives of this robot involve high reliability and stability, accurate recognition, localization of objects, high efficient pick and place manipulation, ease maintenance and cost effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of a 3DOF End Effector for Material Handling with a Delta Robot

Musa

2022

J. Phys.: Conf. Ser.

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In order to improve workspace and material handling system of the delta robot, This paper describes a design of an End-effector with 3 degrees of freedom (3DOF) which makes the End-effector more flexible and having sufficient range of working space. This End-effector will be mounted on a delta parallel robot to perform the desired task in handling materials accordingly. The robot is able to pick and place a given material to the right place and positioning as it is desired by the user. The methodology used to design this robot was based on 3 major components which are: Sliding rails which deals with translational motion along horizontal axis, this motion carries the whole system from side to side and is going to play a role of increasing workspace in either assembling line or picking and placing system. Delta robot is in charge of manipulating its end effector in 3 dimensions along (x, y, z - axis) according to the object tracking localization as a human’s arm manipulate the hand. The end effector’s purpose is to perform rotational motion then pick the object and place as the system requires, this performance has advantage of handling materials and positioning respectively. It showed that the proposed system is safe and is feasible for application. The proposed material handling system can minimize the disadvantages of utilizing a delta robot by attachment of the presented end-effector to the delta robot.

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Development of a metering mechanism with serial robotic arm for handling paper pot seedlings in a vegetable transplanter

Cited by 19 publications

References 21 publications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Optimal synthesis of reconfigurable manipulators for robotic assistance in vertical farming

Modelling and Simulation of a 3DOF End Effector for Material Handling with a Delta Robot

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