IoT-Powered Pest Management System for Chili Plants: Analyzing the Effects of Various Light Spectrum Towards Pest and Plant Health

Muhamad Ahmad Hasyer, Ahmad Muzakker Khalid, Navod Neranjan, Joshua Belayan,Faizah Metali,Hayati Yassin, Muhammad Saifullah Abu Baka

2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)(2023)

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摘要
Using different light spectra in pest management has gained significant attention due to its potential impact on pest control strategies. This study investigates the effectiveness of the light spectrum in controlling pests and their implications on the health of chili plants. In this regard, we have used an IoT-powered pest management system to monitor and analyze the impacts of the light spectrum on both pests and plant growth. From the experiments, it is evident that, on average, the green-light spectrum showed the most effective protection against pest infestations, while the red-light spectrum showed the least efficacy. Furthermore, in terms of plant health, at day 0 and 7, the chlorophyll contents of chilli plants from Station 3 (violet) and Station 2 (green) were the lowest and greatest, respectively, while at day 14, Station 2 (green) and Station 3 (violet) recorded the lowest and greatest chlorophyll content, respectively. These results suggest that in the early stage of plant growth, green light promoted better plant growth, whereas violet light enhanced growth after 14 days. Overall, this study provides insights into the importance of considering a balanced light spectrum in pest management control strategies and the enhancement of plant growth and health for chilli plants.
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Smart farming,pest management,Chili plants,IoT,Cloud
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