Research Article | Open Access

Design and Implementation of Robotic Controlled Beans Planter using Mobile APP

    Felix Oluwaseun Ayanniran

    Computer Science Technology, Federal College of Agriculture, Ishiagu, Ebonyi, Nigeria

    Raphael Segun Bello

    Department of Agricultural Engineering, Federal College of Agriculture, Ishiagu, Ebonyi, Nigeria

    Adisa Kehinde Olayinka

    Department of Mechatronics, Lagos State University of Science and Technology, Nigeria

    Joshua Ademolakun Ade-Omowaye

    Department of Mechanical Engineering (Mechatronics), Landmark University, Omu-Aran, Kwara, Nigeria


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