Implementing the Markov Decision Process for Efficient Water Utilization with Arduino Board in Agriculture
| Autor: | Vo Minh Huan, Tran Kim Toai |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Irrigation
business.industry 05 social sciences Humidity 050801 communication & media studies 02 engineering and technology Agricultural engineering Energy consumption Water demand 0508 media and communications Agriculture Arduino 0202 electrical engineering electronic engineering information engineering Environmental science 020201 artificial intelligence & image processing Markov decision process Soil humidity business |
| Zdroj: | 2019 International Conference on System Science and Engineering (ICSSE). |
| Popis: | Normally, the conventional irrigation system is implemented by setting a soil humidity threshold level through sensors in agriculture. If the current soil humidity is lower than expected soil humidity that the plants need for development, water is supplied to raise the current humidity. This threshold level based decision is quite slow and consumes a lot of water for watering plant and raising soil humidity. In this paper, the Markov Decision Process (MDP) with a reward function is proposed for efficient water utilization. Based on the prediction of soil humidity in the near future, the MDP makes a decision for watering. By doing so, the water can be supplied to plants in well-time for expected water demand. Compared to the threshold level based decision, the MDP can save more than 63% water and energy consumption. Moreover, the commercial Arduino board is used to implement this MDP with low cost in reality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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