Issue |
E3S Web Conf.
Volume 499, 2024
The 1st Trunojoyo Madura International Conference (1st TMIC 2023)
|
|
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Article Number | 01005 | |
Number of page(s) | 6 | |
Section | Dense Matter | |
DOI | https://doi.org/10.1051/e3sconf/202449901005 | |
Published online | 06 March 2024 |
Increasing rice productivity in presence of climate change using Internet of Things (IoT)
Information System Department, Faculty of Intelligent Electrical and Informatics Technology, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
* Corresponding author: erma.suryani@gmail.com
Climate change is becoming increasingly unpredictable. This also has an impact on agriculture, such as the increase in rice productivity. The internet of things is one of the latest technologies that can help increase land productivity. One of the uses of the Internet of things is to identify the temperature and rainfall. The problems currently faced by farmers are determining planting schedules and pest control that caused the decline in rice production. In this study, IoT will be designed to develop smart agriculture using system thinking to increase agricultural dryland productivity where agriculture in Madura is classified as dryland agriculture with rainfall amounts falling into the low-medium category of 50 -150 mm/day, this also affects the temperature in rice cultivation, so the use of IoT will focus on controlling the temperature, pest and stability of the rice paddy soaking water while planting rice until the harvest process for maximum results. The result of this study is a causal loop diagram of internet-based system thinking that can be used as a recommendation to increase agricultural land productivity with temperature, pest and irrigation control using IoT, especially in the form of sensor technology.
Key words: Agricultural productivity / Internet of Things / Rice / Sensor Technology / System dynamics
© The Authors, published by EDP Sciences, 2024
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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