Design of a Weed-Control Mobile Robot Based on Electric Shock

Morara, Giuliano; Baldassarri, Alberto; Diepenbruck, Jens; Bruckmann, Tobias; Carricato, Marco

doi:10.1007/978-3-031-06409-8_23

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mechanical weeding is not feasible, as it can damage underground spears. Integrating non-contact weeding options, such as laser weed [9] or flame weeders [37], into the robot system is one potential solution.…”

Section: Discussionmentioning

confidence: 99%

“…Both Lytridis et al [4] and Bergerman et al [5] suggest that the incorporation of robotics into agriculture could address a number of issues, including labor scarcity, rising production costs, and environmental sustainability; in addition, it could improve precision, efficiency, and productivity, resulting in increased yields and profitability [3,4,6]. The current state of the art in agricultural robotics includes crop monitoring [7], weed control [8,9], harvesting [10,11], and post-harvesting [12]. Robots are utilized for a variety of agricultural tasks, including soil monitoring [13], seeding [14], seedling manipulation [15], fertilization [16], irrigation [17], and crop protection [18,19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Robot System for Selective Asparagus Harvesting

2023

View full text Add to dashboard Cite

Asparagus harvesting presents unique challenges, due to the variability in spear growth, which makes large-scale automated harvesting difficult. This paper describes the development of an asparagus harvesting robot system. The system consists of a delta robot mounted on a mobile track-based platform. It employs a real-time asparagus detection algorithm and a sensory system to determine optimal harvesting points. Low-level control and high-level control are separated in the robot control. The performance of the system was evaluated in a laboratory field mock-up and in the open field, using asparagus spears of various shapes. The results demonstrate that the system detected and harvested 88% of the ready-to-harvest spears, with an average harvesting cycle cost of 3.44s±0.14s. In addition, outdoor testing in an open field demonstrated a 77% success rate in identifying and harvesting asparagus spears.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mobile Robot System for Selective Asparagus Harvesting

2023

View full text Add to dashboard Cite

show abstract

“…These robots are designed to identify and selectively eliminate weeds without harming the desired crops, thereby reducing the reliance on herbicides and promoting more eco-friendly agricultural practices. In this direction, these autonomous robots have been instrumental in pest and weed control, as demonstrated in studies [34][35][36][37][38][39]. Beyond the primary focus areas, robots have found utility in a myriad of agricultural tasks.…”

Section: Introductionmentioning

confidence: 99%

Designing and Implementing a Versatile Agricultural Robot: A Vehicle Manipulator System for Efficient Multitasking in Farming Operations

2023

View full text Add to dashboard Cite

This paper presents a detailed design of a skid-steering mobile platform with four wheels, along with a Cartesian serial (PPP) manipulator. The aim of this design is to enable the platform to perform various tasks in the agricultural process. The parallel manipulator designed can handle heavy materials in the agricultural field. An experimental robotic harvesting scenario was conducted using parallel manipulator-based end-effectors to handle heavy fruits such as watermelon or muskmelon. The conceptual and component design of the different models was carried out using the Solidworks modeling package. Design specifications and parametric values were utilized during the manufacturing stage. The mobile manipulator was simulated on undulating terrain profiles using ADAMS software. The simulation was analyzed for a duration of 15 s, and graphs depicting the distance, velocity, and acceleration were evaluated over time. Proportional derivative control and proportional derivative-like conventional sliding surface control were applied to the model, and the results were analyzed to assess the error in relation to the input and desired variables. Additionally, a structural analysis was performed to ensure minimal deformation and the highest safety factor for the wheel shaft and L bracket thickness. Throughout the fabrication and prototype development, calibration tests were conducted at various X-, Y-, and Z-axis frame mounting stages. The objective was to minimize the lateral and longitudinal deviation between the parallel linear motion (LM) rails. Once the fabrication and prototype construction was completed, field testing was carried out. All mechanical movements in the lateral and longitudinal directions functioned according to the desired commands given by the Arduino Mega, controlled via a six-channel radio frequency (RF) controller. In the context of agriculture, the grippers utilizing parallel mechanisms were also subjected to testing, demonstrating their ability to handle sizable cylindrical and spherical fruits or vegetables, as well as other relevant objects.

show abstract

Delta-Arm Design for Weed Removal

et al. 2023

2023 8th International Conference on Communication and Electronics Systems (ICCES)

View full text Add to dashboard Cite

Design of a Weed-Control Mobile Robot Based on Electric Shock

Cited by 3 publications

References 6 publications

Mobile Robot System for Selective Asparagus Harvesting

Mobile Robot System for Selective Asparagus Harvesting

Designing and Implementing a Versatile Agricultural Robot: A Vehicle Manipulator System for Efficient Multitasking in Farming Operations

Delta-Arm Design for Weed Removal

Contact Info

Product

Resources

About