Application of supervised learning in grain dryer technology recirculation type cooperated with Wireless Sensor Network

Post-harvest problems faced by farmers are drying grain. Traditional drying method, low-cost (dried) or use the dryer does not provide a perfect drying results. This is due to the two methods are not able to regulate the temperature, moisture content and humidity levels of the air to the right. As a result of the rice produced has a low quality, easily broken and destroyed during grinding. On the other hand, the existing grain dryer technology is still costly. These things make farmers reluctant to use the existing dryer. Wireless Sensor Network (WSN) have the ability to regulate temperature, moisture content and humidity levels of the air to the right. WSN utilization in grain dryers can provide solutions to improve rice quality and efficiency of the drying process. To improve energy efficiency, husk charcoal briquettes used as fuel grain dryers. Therefore, in this study with a grain dryer technology made husk charcoal briquettes as an energy source based Wireless Sensor Network (WSN) to improve the quality of the rice, so in the end product technology is acceptable to the community and is able to be mass produced. Supervised learning is used in smart system of grain dryer technology to learn grain characteristics.