The agricultural sector is currently witnessing the use of Internet of Things (IoT) to drive significant innovations across key interests, particularly irrigation. A sprinkler designed with an Arduino controller was developed in this study. The device is among the fastest growing agricultural irrigation systems. The plant studied is Brassica Chinensis, because this vegetable is one of the most commonly consumed vegetables by Indonesian people. However, emphasis is also placed on plant quality as an important consideration, not only on the device's operational performance. The purpose of this research was to compare the plant quality, including the dissolved solids, chlorophyll, carotenoid, and vitamin C using manual and Arduino-based sprinkler. As consequence, three treatment methods were employed, termed: the use of manual sprinkle, e.g. P0, and Arduino-based IoT sprinkler, described as P1 and P2. Under these conditions, the chlorophyll quality was comparable to the results obtained using the manual application. P1 is a situation where the sprinkler is manually set by the farmer via the app. Meanwhile, P2 uses a sprinkler which is automatically regulated by the system. Under these conditions, the chlorophyll quality generated with the IoT sprinkler was comparable to the results obtained using the manual application.
Water is an important part of all living things, including humans, animals, and plants, but concern for clean water is decreasing due to numerous human activities, which cause pollution. Water pollution is characterized by changes in physical, chemical and biological contents due to the wastes generated from the actions of living things, such as water irrigation. Therefore, this research aimed to overcome irrigation wastewater pollution using the Internet of Things (IoT)-based phytoremediation method, water hyacinth, apu-apu, and lotus. It was carried out using a tool monitoring system based on IoT technology with parameters for measuring pH, temperature, and water turbidity through the internet network. The results showed that the acidity level increased by 7-8 with a decrease in COD using water hyacinth, apu-apu, and lotus by 41.55%, 32.77%, and 32.91%, respectively. The BOD level using water hyacinth, as well as apu-apu and lotus decreased by 37.82%, and 31.54%, respectively. The decrease in phosphate level using water hyacinth, apu-apu and lotus was by 3.55%. Finally, the decrease in nitrate level using water hyacinth plants, apu-apu and lotus was 13.83%, 9.61% and 19.61%, respectively.
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