Development of a Microcontroller-Based Automated Pest Control Spraying System
Abstract
This study aimed to develop and evaluate an automatic pest control spraying system designed to enhance precision in pest management while minimizing human exposure to pesticides and reducing environmental impact. The system was tested on a plant bed to assess its efficiency, effectiveness, sensitivity, and economic viability, using parameters such as payback period, internal rate of return (IRR), and benefit-cost ratio (BCR). Employing a descriptive-experimental design, the prototype automatically detected pests and sprayed pesticides only at the detected location. The system consisted of a 230V AC source, digital time relay switch, Arduino Uno, PIR sensors, relay module, solenoid valve, and pump. Results showed that larger sample sizes improved effectiveness and sensitivity. The pump and solenoid valve efficiencies were 95.49% and 93.46%, respectively, while sensor efficiencies were 75.00%, 66.67%, and 29.17% for caterpillar, cockroach, and grasshopper detection. Economic analysis indicated a payback period of 8 months and 5 days, an IRR of 39.46%, and a BCR of 1.41, signifying strong financial feasibility.
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