Soil Classification & Characterization Using Image Processing

Hemen Sharma, Shiv Kumar
{"title":"Soil Classification & Characterization Using Image Processing","authors":"Hemen Sharma, Shiv Kumar","doi":"10.1109/ICCMC.2018.8488103","DOIUrl":null,"url":null,"abstract":"Agriculture is most important for survival of human being on the earth. As we know that agriculture land is decreasing day by day while population increasing day by day. But it is fact that production is also increasing because of several technologies. It is also fact that income of farmer is not increasing to survive in current scenario because of that several farmers hanging themselves. That is why we require a free application that help them in real world to inform them to identify soil by the type & there composition with suggestion like suitable crops for the corresponding type of soil. In India there are various types of soil. Since soil is a store house of minerals. Farmers are depending on soil for growing different type of crops But mostly farmers are don’t know which crop are grow in which soil. We are now taking about soil of Rajasthan. In Rajasthan, main soil is in desert form. But south part of Rajasthan of soil where farmer can grow crops. In Rajasthan there are various type of soil are available sandy, saline, alkaline, calcareous soil are also present, we can classify the soil by image processing method in which we can see the color, energy, HSV etc.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"11 1","pages":"885-890"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8488103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Agriculture is most important for survival of human being on the earth. As we know that agriculture land is decreasing day by day while population increasing day by day. But it is fact that production is also increasing because of several technologies. It is also fact that income of farmer is not increasing to survive in current scenario because of that several farmers hanging themselves. That is why we require a free application that help them in real world to inform them to identify soil by the type & there composition with suggestion like suitable crops for the corresponding type of soil. In India there are various types of soil. Since soil is a store house of minerals. Farmers are depending on soil for growing different type of crops But mostly farmers are don’t know which crop are grow in which soil. We are now taking about soil of Rajasthan. In Rajasthan, main soil is in desert form. But south part of Rajasthan of soil where farmer can grow crops. In Rajasthan there are various type of soil are available sandy, saline, alkaline, calcareous soil are also present, we can classify the soil by image processing method in which we can see the color, energy, HSV etc.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于图像处理的土壤分类与表征
农业对人类在地球上的生存至关重要。众所周知,农业用地日益减少,而人口却日益增加。但事实上,由于几种技术的发展,产量也在增加。事实上,在目前的情况下,农民的收入并没有增加,因为一些农民上吊自杀了。这就是为什么我们需要一个免费的应用程序,帮助他们在现实世界中,告知他们识别土壤的类型和那里的成分与建议,如适合作物对应类型的土壤。印度有各种各样的土壤。因为土壤是矿物质的仓库。农民依靠土壤来种植不同类型的作物,但大多数农民不知道哪种作物在哪种土壤中生长。我们现在谈论的是拉贾斯坦邦的土壤。在拉贾斯坦邦,主要土壤是沙漠形式。但在拉贾斯坦邦南部,农民可以种植庄稼。在拉贾斯坦邦有各种类型的土壤可供选择,沙质,盐碱,碱性,钙质土壤也存在,我们可以通过图像处理方法对土壤进行分类,我们可以看到颜色,能量,HSV等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modelling of Audio Effects for Vocal and Music Synthesis in Real Time Deep Learning Framework for Diabetic Retinopathy Diagnosis A Comprehensive Survey on Internet of Things Based Healthcare Services and its Applications Exploring Pain Insensitivity Inducing Gene ZFHX2 by using Deep Convolutional Neural Network Atmospheric Weather Prediction Using various machine learning Techniques: A Survey
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1