Development of an automated grass cutting machine for university field using internet of things/
Mary Jane G. Dieto, Kimberly R. Ibanez, Maria Fe D. Pole, and Maria Flor D. Pole.--
- Manila: Technological University of the Philippines, 2024.
- xiii, 140pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
Includes bibliographic references and index.
This study develops an IoT-based automated grass-cutting machine to improve efficiency and safety in maintaining the TUP-Manila field. Traditional methods require manual labor, which is time-consuming and poses safety risks. The problems related to noise pollution and gasoline-powered mower environmental damage along with intensive manual procedures continue to persist as significant problems. Existing solutions, such as solar and automated grass cutters, have limitations in range, features, and reliance on manual operation. The study aims to develop a grass-cutting machine for TUP-Manila field with the following objectives: (1) design a system that cuts and collects grass while incorporating safety features such as a front blade cover and IoT-based camera monitoring; (2) develop a mobile-controlled system using agile methodology; (3) test speed, cutting precision, grass collection, and battery life under operating conditions; and (4) evaluate the system based on ISO/IEC 25010:2023 standards. The development process followed an agile methodology, consisting of planning, design, development, testing, deployment, and review phases. The development followed an agile methodology with phases of planning, design, development, testing, deployment, and review. The testing showed the prototype's speed had minor discrepancies (76 m/min with 5.13% and 84 m/min with 1.18% deviation). Cutting precision showed a 13.33% difference in grass height, while the collector bin gathered 0.45 kg (75.86%) and 0.65 kg (79.07%) of grass from 76 m and 84 m, respectively. Evaluation of the system based on quality criteria yielded a grand weighted mean of 4.36 on a 5-point Likert scale in evaluations.