{"title":"基于树莓派NDVI分析的苹果植物健康自动监测装置","authors":"Rizky Pratama Hudhajanto, Nanta Fakih Prebianto, Muchammad Fajri Amirul Nasrullah, Jesy Neland","doi":"10.5220/0010352701150118","DOIUrl":null,"url":null,"abstract":": Indonesia is a tropical country with abundant agricultural products. Therefore, the increase of efficiency and productivity of these crops is needed. Normalized Difference Vegetation Index is an index used to monitor plant health. To find out the NDVI value, a special camera is used to capture Near Infrared (NIR) light spectrum. This special camera is usually used by the professional plantation industry and is very expensive. In this study, we used a raspberry pi and a low cost Pi Noir camera to create a system that can predict the NDVI value of plants. The plant used as testing object is a Water Apple Plant ( Syzygium aqueum ). The result was that the system was able to identify the health of plant based on their NDVI value.","PeriodicalId":103441,"journal":{"name":"Proceedings of the 3rd International Conference on Applied Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Plant Health Monitoring Device based on NDVI Analysis using Raspberry Pi for Water Apple Plant\",\"authors\":\"Rizky Pratama Hudhajanto, Nanta Fakih Prebianto, Muchammad Fajri Amirul Nasrullah, Jesy Neland\",\"doi\":\"10.5220/0010352701150118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Indonesia is a tropical country with abundant agricultural products. Therefore, the increase of efficiency and productivity of these crops is needed. Normalized Difference Vegetation Index is an index used to monitor plant health. To find out the NDVI value, a special camera is used to capture Near Infrared (NIR) light spectrum. This special camera is usually used by the professional plantation industry and is very expensive. In this study, we used a raspberry pi and a low cost Pi Noir camera to create a system that can predict the NDVI value of plants. The plant used as testing object is a Water Apple Plant ( Syzygium aqueum ). The result was that the system was able to identify the health of plant based on their NDVI value.\",\"PeriodicalId\":103441,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Applied Engineering\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Applied Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0010352701150118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Applied Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0010352701150118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic Plant Health Monitoring Device based on NDVI Analysis using Raspberry Pi for Water Apple Plant
: Indonesia is a tropical country with abundant agricultural products. Therefore, the increase of efficiency and productivity of these crops is needed. Normalized Difference Vegetation Index is an index used to monitor plant health. To find out the NDVI value, a special camera is used to capture Near Infrared (NIR) light spectrum. This special camera is usually used by the professional plantation industry and is very expensive. In this study, we used a raspberry pi and a low cost Pi Noir camera to create a system that can predict the NDVI value of plants. The plant used as testing object is a Water Apple Plant ( Syzygium aqueum ). The result was that the system was able to identify the health of plant based on their NDVI value.
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