Abstract
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.
| Original language | English |
|---|---|
| Article number | 01005 |
| Journal | E3S Web of Conferences |
| Volume | 499 |
| DOIs | |
| Publication status | Published - 6 Mar 2024 |
| Event | 1st Trunojoyo Madura International Conference, TMIC 2023 - Surabaya, Indonesia Duration: 29 Nov 2023 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 13 Climate Action
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SDG 15 Life on Land
Keywords
- Agricultural productivity
- Internet of Things
- Rice
- Sensor Technology
- System dynamics
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