Implementasi Artificial Lighting Pada Tanaman Bayam Berbasis Smart Farming 4.0

Rosdiana, Ria Agatha (2023) Implementasi Artificial Lighting Pada Tanaman Bayam Berbasis Smart Farming 4.0. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

The development of industry 4.0 has had an impact on the agricultural sector, where reduced land forces farmers to change the way of farming from the original, namely traditional farming to smart farming or known as smart farming. Smart farming is very helpful in the farming process, especially when seeding. Plants will grow well if the seeding process is done properly, one of the factors needed is light. Based on this problem, an artificial light design was created using an array of RGB LEDs arranged in parallel with a total of 6 arrays with a composition of 3 red and 3 blue arrays, each array being 30 cm long. Combined with the BH1750 sensor as a sensor to measure the most optimal light intensity at visible wavelengths. The implementation of this prototype can be done starting from the smallest environment such as at home or for implementing modern agriculture. The average height of plants sown with sunlight was more significant, namely 1.302 cm compared to the height of plants sown with LED light, which was 0.802 cm. However, the quality of the plants produced using LED stem light looks sturdier and fresher than the plants sown in the sun. Plants sown in the sun grow tall with stems that are weak, not sturdy, look paler and plant growth tends to tilt to the east (source of sunlight). The use of LED light also affects the number of leaves produced, the number of leaves with LED light is more significant, namely as many as 13 leaves compared to the number of leaves with sunlight, which is as many as 8 leaves. So it can be concluded that the results of spinach plants in the seeding process are better when using artificial light compared to seeding in the sun. Sowing spinach plants in the sun is only able to grow tall but the quality of the plants produced is poor. Keywords: Urban Farming, Smart Farming, Artificial Lighting, BH1750 sensor, Arduino Nano.

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