MATEC Web Conf.
Volume 255, 2019Engineering Application of Artificial Intelligence Conference 2018 (EAAIC 2018)
|Number of page(s)||5|
|Section||Smart Manufacturing and Industrial 4.0|
|Published online||16 January 2019|
Tomato Automation Cultivation System: Automatize Watering and Fertilizer Based On Sensory Information
Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Kampus Utama, Jalan Genting Kelang, 53300 Kuala Lumpur
* Corresponding author: firstname.lastname@example.org
This research is to build a tomato watering and fertilizing machine for household-based agriculture. The objective is to reduce the work of planting the tomato tree, keeping the tomato tree stays healthily, and increase the interest of the people on the innovative agriculture in the household. This project aims to increase the efficiency of planting tomato, by reducing the tomato growth period and promoting the innovative way of planting. The planting of tomato tree in the household environment has a high chance of suffering diseases such as black spot disease, mould leaf disease, and yellow leaf disease, due to reasons of poorly controlling of temperature, watering, and humanity. The outcome of this automated cultivation machine can prevent the tomato trees away from the above-mentioned diseases. In conclusion, the automated cultivation machine provides an eco-farming environment that closes to the natural environment and the tomato tree not only grow healthy but also speed up the growing process in the machine. Moreover, the size of the machine is suited to household and promotes the interest of the people in household-based agriculture.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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