Siddharth Singh Chouhan, U. Singh, Ajay Kaul, Sanjeev Jain
{"title":"叶片图像的数据存储库:实践对植物保护与植物病理学","authors":"Siddharth Singh Chouhan, U. Singh, Ajay Kaul, Sanjeev Jain","doi":"10.1109/ISCON47742.2019.9036158","DOIUrl":null,"url":null,"abstract":"The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plants and species that we have, so recently, stormed. Therefore, a contribution has been made in this article towards the study of plant growth and its management. Twelve economically and environmentally beneficial plants have been selected for this purpose. Leaf images of these plants in healthy and unhealthy conditions have been acquired and alienated among two separate classes. We have collected about 4503 images of which contain 2278 images of healthy leaf and 2225 images of the diseased leaf. Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leaf disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their appropriate management.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"A Data Repository of Leaf Images: Practice towards Plant Conservation with Plant Pathology\",\"authors\":\"Siddharth Singh Chouhan, U. Singh, Ajay Kaul, Sanjeev Jain\",\"doi\":\"10.1109/ISCON47742.2019.9036158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plants and species that we have, so recently, stormed. Therefore, a contribution has been made in this article towards the study of plant growth and its management. Twelve economically and environmentally beneficial plants have been selected for this purpose. Leaf images of these plants in healthy and unhealthy conditions have been acquired and alienated among two separate classes. We have collected about 4503 images of which contain 2278 images of healthy leaf and 2225 images of the diseased leaf. Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leaf disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their appropriate management.\",\"PeriodicalId\":124412,\"journal\":{\"name\":\"2019 4th International Conference on Information Systems and Computer Networks (ISCON)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Information Systems and Computer Networks (ISCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCON47742.2019.9036158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON47742.2019.9036158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Data Repository of Leaf Images: Practice towards Plant Conservation with Plant Pathology
The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plants and species that we have, so recently, stormed. Therefore, a contribution has been made in this article towards the study of plant growth and its management. Twelve economically and environmentally beneficial plants have been selected for this purpose. Leaf images of these plants in healthy and unhealthy conditions have been acquired and alienated among two separate classes. We have collected about 4503 images of which contain 2278 images of healthy leaf and 2225 images of the diseased leaf. Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leaf disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their appropriate management.