Alpas: A Solar-Powered Weed Cutter with Obstacle Detection and Bluetooth-Based Smartphone Control for Sustainable Ground Maintenance

Maintaining large spaces, such as school grounds, is expensive, time-consuming, and labor-intensive. Gas-powered weed cutters are pollution-causing and expensive to run. ALPAS is a new, solar-powered, Bluetooth smartphone-controllable weed cutter with an obstacle detection system that provides a simple, cost-effective, and environmentally friendly weed control system. The system reduces its effect on the environment and its fossil fuel dependence by harnessing the power of solar energy to run its motors. An obstacle detection system is used to prevent malfunctions and ensure safe operation, while the Bluetooth smartphone control provides remote operation and enhances user convenience and efficiency. Performance testing compared ALPAS with conventional weed cutters in terms of power consumption, noise level, environment-friendliness, and cutting efficiency. The results established that ALPAS reduced fuel dependency, significantly reduced running costs, and provided reliable efficiency under different conditions. In addition, the performance of the system for green ground care was attested by the respondents’ responses, which indicated acceptable responsiveness (4.74), ease of use (4.59), and reliability (4.97). ALPAS offers technological innovation in ground care providing a green and sustainable option that aligns with current sustainability agendas. Future development can focus on raising battery capacity and optimizing automated functions to further optimize its performance.

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Publication Details

Journal
American Journal of Smart Technology and Solutions
Published
2025-06-24
DOI
https://doi.org/10.54536/ajsts.v4i1.4948
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Alpas: A Solar-Powered Weed Cutter with Obstacle Detection and Bluetooth-Based Smartphone Control for Sustainable Ground Maintenance

Marloun K. Gasoc, Ronel G. Patunongon, Helton M. Gultiano, Jhul Jhe Necole A. Davines et al.
American Journal of Smart Technology and Solutions
Smart Agriculture and AI
article

Alpas: A Solar-Powered Weed Cutter with Obstacle Detection and Bluetooth-Based Smartphone Control for Sustainable Ground Maintenance

Marloun K. Gasoc, Ronel G. Patunongon, Helton M. Gultiano, Jhul Jhe Necole A. Davines, Cristyl Dia B. Bondad
article en

Abstract

Maintaining large spaces, such as school grounds, is expensive, time-consuming, and labor-intensive. Gas-powered weed cutters are pollution-causing and expensive to run. ALPAS is a new, solar-powered, Bluetooth smartphone-controllable weed cutter with an obstacle detection system that provides a simple, cost-effective, and environmentally friendly weed control system. The system reduces its effect on the environment and its fossil fuel dependence by harnessing the power of solar energy to run its motors. An obstacle detection system is used to prevent malfunctions and ensure safe operation, while the Bluetooth smartphone control provides remote operation and enhances user convenience and efficiency. Performance testing compared ALPAS with conventional weed cutters in terms of power consumption, noise level, environment-friendliness, and cutting efficiency. The results established that ALPAS reduced fuel dependency, significantly reduced running costs, and provided reliable efficiency under different conditions. In addition, the performance of the system for green ground care was attested by the respondents’ responses, which indicated acceptable responsiveness (4.74), ease of use (4.59), and reliability (4.97). ALPAS offers technological innovation in ground care providing a green and sustainable option that aligns with current sustainability agendas. Future development can focus on raising battery capacity and optimizing automated functions to further optimize its performance.

American Journal of Smart Technology and SolutionsVol. 4(1)
North Eastern Mindanao State University (PH)
Openalex Percentile: Top 89%
Smart Agriculture and AI
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