Design and Implementation of Robotic Controlled Beans Planter using Mobile APP
Received 17 Nov, 2023 |
Accepted 03 Jun, 2024 |
Published 04 Jun, 2024 |
Background and Objective: This paper presents an innovative solution to enhance the efficiency and accuracy of planting beans in agricultural fields. Traditional manual planting methods are time-consuming and labor-intensive, often leading to inconsistent plant spacing and suboptimal yield. This paper aims to address these challenges by developing a robotic system that automates the planting process and allows remote control through a mobile application. Materials and Methods: The proposed robotic beans planter consists of a wheeled base equipped with planting modules, a seed house and a control unit. The planting modules are designed to create furrows in the soil at predetermined intervals and accurately dispense bean seeds. The seed house stores the seeds and provides a steady supply to the planting modules. The control unit comprises a microcontroller responsible for processing commands from the mobile app and coordinating the movements of the robot and seed dispensing mechanism. Results: The mobile application is developed to provide a user-friendly interface for farmers to control the Robotic Planter. Using the app, users can manipulate the robot to dig, plant and move the Planter. Additionally, real-time feedback from IR sensors and seed level sensors is relayed to the app to ensure precise operation and monitoring. The robotic planter project offers several advantages over traditional methods. It eliminates the need for manual labor, reducing the physical strain on farmers and potentially increasing planting speed. The machine ensures uniform spacing between plants and consistent planting depth, resulting in improved crop yield and reduced resource wastage. Conclusion: The integration with a mobile app enables remote operation and monitoring, allowing farmers to control the robot from a distance and make real-time adjustments as needed.
How to Cite this paper?
APA-7 Style
Ayanniran,
F.O., Bello,
R.S., Olayinka,
A.K., Ade-Omowaye,
J.A. (2024). Design and Implementation of Robotic Controlled Beans Planter using Mobile APP. Trends in Applied Sciences Research, 19(1), 112-125. https://doi.org/10.3923/tasr.2024.112.125
ACS Style
Ayanniran,
F.O.; Bello,
R.S.; Olayinka,
A.K.; Ade-Omowaye,
J.A. Design and Implementation of Robotic Controlled Beans Planter using Mobile APP. Trends Appl. Sci. Res 2024, 19, 112-125. https://doi.org/10.3923/tasr.2024.112.125
AMA Style
Ayanniran
FO, Bello
RS, Olayinka
AK, Ade-Omowaye
JA. Design and Implementation of Robotic Controlled Beans Planter using Mobile APP. Trends in Applied Sciences Research. 2024; 19(1): 112-125. https://doi.org/10.3923/tasr.2024.112.125
Chicago/Turabian Style
Ayanniran, Felix, Oluwaseun, Raphael Segun Bello, Adisa Kehinde Olayinka, and Joshua Ademolakun Ade-Omowaye.
2024. "Design and Implementation of Robotic Controlled Beans Planter using Mobile APP" Trends in Applied Sciences Research 19, no. 1: 112-125. https://doi.org/10.3923/tasr.2024.112.125
This work is licensed under a Creative Commons Attribution 4.0 International License.