M. Hadi, S. Bhima Satria Rizki, Maulana Achmad As-Shidiqi, M. A. Mizar, Dyah Lestari, Mhd Irvan
{"title":"基于Mamdani模糊逻辑的智能测量装置在粮食收获后质量检测中的应用","authors":"M. Hadi, S. Bhima Satria Rizki, Maulana Achmad As-Shidiqi, M. A. Mizar, Dyah Lestari, Mhd Irvan","doi":"10.1109/ice3is54102.2021.9649685","DOIUrl":null,"url":null,"abstract":"Agriculture is one sector that has a maj or role in the national economy, where agriculture has a contribution of 13.53 percent of GP A in Indonesia. The most widely produced agricultural products are types of grains such as corn, rice, and beans. However, the price of these commodities is often controlled by brokers, several aspects that become the benchmark for brokers to price these commodities are the quality of the seeds. The quality of rice or corn seeds is considered good if it meets a very small level of moisture content. Therefore, sometimes farmers dry their harvests for a long time without knowing the level of water content contained in their harvests so that it will hamper the distribution of crops. The solution to the problems experienced by the farmers is a device that can detect the moisture content in harvested seeds at low prices and an easy-to-use process, and is supported by an AI system that can assist farmers in making decisions about crop quality. This device works by reading the level of moisture in the grain using a humidity sensor that is plugged into the harvest container such as sacks and others. If it is felt that the moisture level is low, the device will provide suggestions to the user to support decision-making through the OLED screen installed on the device. The features make it easier for users to make decisions whether the harvest is worth selling or not.","PeriodicalId":134945,"journal":{"name":"2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mamdani fuzzy logic-based smart measuring device as quality determination for grain post-harvest technology\",\"authors\":\"M. Hadi, S. Bhima Satria Rizki, Maulana Achmad As-Shidiqi, M. A. Mizar, Dyah Lestari, Mhd Irvan\",\"doi\":\"10.1109/ice3is54102.2021.9649685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agriculture is one sector that has a maj or role in the national economy, where agriculture has a contribution of 13.53 percent of GP A in Indonesia. The most widely produced agricultural products are types of grains such as corn, rice, and beans. However, the price of these commodities is often controlled by brokers, several aspects that become the benchmark for brokers to price these commodities are the quality of the seeds. The quality of rice or corn seeds is considered good if it meets a very small level of moisture content. Therefore, sometimes farmers dry their harvests for a long time without knowing the level of water content contained in their harvests so that it will hamper the distribution of crops. The solution to the problems experienced by the farmers is a device that can detect the moisture content in harvested seeds at low prices and an easy-to-use process, and is supported by an AI system that can assist farmers in making decisions about crop quality. This device works by reading the level of moisture in the grain using a humidity sensor that is plugged into the harvest container such as sacks and others. If it is felt that the moisture level is low, the device will provide suggestions to the user to support decision-making through the OLED screen installed on the device. The features make it easier for users to make decisions whether the harvest is worth selling or not.\",\"PeriodicalId\":134945,\"journal\":{\"name\":\"2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ice3is54102.2021.9649685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ice3is54102.2021.9649685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mamdani fuzzy logic-based smart measuring device as quality determination for grain post-harvest technology
Agriculture is one sector that has a maj or role in the national economy, where agriculture has a contribution of 13.53 percent of GP A in Indonesia. The most widely produced agricultural products are types of grains such as corn, rice, and beans. However, the price of these commodities is often controlled by brokers, several aspects that become the benchmark for brokers to price these commodities are the quality of the seeds. The quality of rice or corn seeds is considered good if it meets a very small level of moisture content. Therefore, sometimes farmers dry their harvests for a long time without knowing the level of water content contained in their harvests so that it will hamper the distribution of crops. The solution to the problems experienced by the farmers is a device that can detect the moisture content in harvested seeds at low prices and an easy-to-use process, and is supported by an AI system that can assist farmers in making decisions about crop quality. This device works by reading the level of moisture in the grain using a humidity sensor that is plugged into the harvest container such as sacks and others. If it is felt that the moisture level is low, the device will provide suggestions to the user to support decision-making through the OLED screen installed on the device. The features make it easier for users to make decisions whether the harvest is worth selling or not.