A combined visual navigation method for greenhouse spray robot

Wang, Peng; Wang, Pengbo; Geng, Changxing

doi:10.1109/cyber46603.2019.9066557

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…Some examples are the tomato harvesting robot [21], the pepper harvesting robot [22] or the cherry tomato harvesting robot [23]. Other examples are AURORA, a spraying robot that implements a wall following algorithm for navigation [24] or a greenhouse spraying robot that follows lines and QR codes for navigating [25]. The use of fixed paths such as rails for navigation in greenhouses has resulted in decoupling navigation from the manipulation and inspection tasks.…”

Section: Related Workmentioning

confidence: 99%

A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator

et al. 2021

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To meet the demands of a rising population greenhouses must face the challenge of producing more in a more efficient and sustainable way. Innovative mobile robotic solutions with flexible navigation and manipulation strategies can help monitor the field in real-time. Guided by Integrated Pest Management strategies, robots can perform early pest detection and selective treatment tasks autonomously. However, combining the different robotic skills is an error prone work that requires experience in many robotic fields, usually deriving on ad-hoc solutions that are not reusable in other contexts. This work presents Robotframework, a generic ROS-based architecture which can easily integrate different navigation, manipulation, perception, and high-decision modules leading to a faster and simplified development of new robotic applications. The architecture includes generic real-time data collection tools, diagnosis and error handling modules, and user-friendly interfaces. To demonstrate the benefits of combining and easily integrating different robotic skills using the architecture, two flexible manipulation strategies have been developed to enhance the pest detection in its early state and to perform targeted spraying in simulated and field commercial greenhouses. Besides, an additional use-case has been included to demonstrate the applicability of the architecture in other industrial contexts.INDEX TERMS Precision agriculture, robotic control architecture, mobile manipulator, pest detection and treatment, greenhouse.

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Section: Related Workmentioning

confidence: 99%

A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator

et al. 2021

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“…More and more robotic lawn mowings are incorporated with GPS, cameras, ultrasonic sensors to have performances of detection and avoidance of obstacles [43] . For in-row spraying, tilling, ditching, etc., in fields, greenhouse, orchards, and vineyards, local navigation with machine vision, Lidar or RGB-D fusion is a research hotspot [44][45][46] . Liu also developed an autonomous transplanter of strawberry plug seedlings and automatic mobile substrate paver for elevated cultivation navigated with an arc array of photoelectric switches [47][48][49] , and a high-ridge automatic transplanter for strawberry plug seedlings with a profiling walking device [50] .…”

Section: Development Of Non-selective Agricultural Working Robots 231 Unmanned Agricultural Machinery In Crop Farmingmentioning

confidence: 99%

Development status and trend of agricultural robot technology

Jin¹,

Liu²,

Xu³

et al. 2021

International Journal of Agricultural and Biological Engineering

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In the face of the contradiction between the increasing demand for agricultural products and the sharp reduction of agricultural resources and labor force, agricultural robot technology is developing explosively on the basis of decades of technical and industrial exploration. In view of the complexity and particularity of the development of agricultural robot technology, it is of great value to summarize its development characteristics and make reasonable judgments on its development trend. In this paper, the type of agricultural robot systems was first discussed. From the classification of agricultural robot systems, the development of main types of monitoring robots, non-selective and selective working robots for crop farming, livestock and poultry farming and aquaculture were introduced in detail. Then the scientific research, core technology, and commercialization of different types of agricultural robots were summarized. It is believed that navigation in complex agricultural environments, damage-free robot-crop interaction, and agronomy-robot fusion have high scientific value and significance to promote the revolutionary advances in agricultural robot technology. The characteristics of inter-discipline between agricultural robot technology and new materials, artificial intelligence, bionics, agronomy are research focus. The fast damage-free operation, autonomous navigation for complex environments, target detection for complex backgrounds, and special design for agricultural robots are considered to be the key technology of agricultural robot development, and the development path is given. Finally, robot-crop interaction simulation, big data support, and artificial intelligence are regarded as paths to realize the breakthrough of key agricultural robot technologies. The summary and prospect of this paper are of positive significance to promote the overall development of agricultural robot technology.

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“…Automation in spraying operations can reduce human exposure while improving efficiency, control, flexibility, and economy in pesticide application. In the past, autonomous sprayers for polyhouse have been successfully developed and deployed (Chaitanya et al, 2020; Hejazipoor et al, 2021; Kassim et al, 2020; Peng et al, 2019). Autonomous sprayers have also been developed using fuzzy logic controllers to determine vehicle heading and obstacle detection (Cho & Ki, 1999; Singh et al, 2005), using hot water pipes installed in the greenhouses for guidance and an inductance type transducer and sensing metal tube in soil for autonomous navigation control (Refigh et al, 2014; Sammons et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Development of an automated mobile robotic sprayer to prevent workers' exposure of agro‐chemicals inside polyhouse

Jat

Dubey

Potdar

et al. 2023

Journal of Field Robotics

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Automated spraying practices are inevitable for modern polyhouse management to attain a broader objective of minimizing human exposure to agrochemicals. In the present study, an automated mobile robotic sprayer (AMRS) was developed to combat the increased human intervention and safeguard agricultural workers from potential health hazards. The system mainly comprises embedded sensors (ultrasonic, proximity, XBee) and controllers (Arduino, PLC). The controller drives the system on a piping track between the rows as well as on the head space achieving end-to-end automation for spraying operations. The system performance was evaluated on the tomato crop with respect to the physiological traits, yield and economics. Additionally, the study leveraged response surface methodology to optimize forward speed, spray distance, and working pressure of AMRS on the responses, droplet density, coverage, volume mean diameter (VMD) and application rate. Optimization of forward speed (0.79 km/h), spray distance (250 mm) and working pressure (0.40 MPa) resulted in 90.7 droplets/cm 2 droplet density, 47.1% coverage, 170.2 μm VMD and 86.0 mL/m 2 of application rate. Ergonomic aspects of AMRS were assessed by the parameters, human exposure, discomfort and postural assessment with respect to knapsack sprayer. The working heart rate of 103 beats/ min, work pulse of 12 beats/min, oxygen consumption rate of 916 mL/min and energy expenditure rate of 18.7 kJ/min recorded during the ergonomic evaluation of the AMRS were 25%, 75%, 42%, and 41% lower compared to manual spraying, respectively. Moreover, three-six times higher work pulse, cardiac cost, body part discomfort score and overall discomfort rating were observed which indicated more drudgery involved in manual spraying. State-of-the-art system developed for polyhouses would minimize the drudgery and health hazards, significantly. The system's resilience and effectiveness pave the way for its wider deployment where the use of agrochemicals are prevalent, particularly in small-size polyhouses.

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A combined visual navigation method for greenhouse spray robot

Cited by 7 publications

References 4 publications

A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator

A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator

Development status and trend of agricultural robot technology

Development of an automated mobile robotic sprayer to prevent workers' exposure of agro‐chemicals inside polyhouse

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