Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum - Info and Reading Options
By asdf.international
"Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum" and the language of the book is English.
“Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” Metadata:
- Title: ➤ Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum
- Author: asdf.international
- Language: English
“Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” Subjects and Themes:
- Subjects: LabVIEW - Image Processing - WSN - GSM - Precision agriculture
Edition Identifiers:
- Internet Archive ID: ICIDRET2015004
AI-generated Review of “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum”:
"Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum" Description:
The Internet Archive:
<div></div><div></div><div></div>In recent days, world population is incredibly growing, so it is an essential need to develop the agriculture. Oryza sativa L (Paddy) and Triticum aestivum (Wheat) are the most important food crops in India. This proposed research work introduces a new technology for paddy and wheat cultivation in agriculture. The objectives of proposed research are to monitor and control the plant soil moisture sensor and water level sensor and also to identify the diseases are occurred in Paddy and Wheat. The values detected by sensors and it are transmitted through Wireless Sensor Network (WSN) for further controlling process. Plant cultivation is always under surveillance using wireless IP camera. The diseases are identified using LabVIEW image processing techniques such as preprocessing, feature extraction and classification. In this paper, texture features are extracted using GLCM and Mean, Standard deviation, Kurtosis and Skewness. K- Nearest Neighbor (KNN) and Support Vector Machine (GRBF) are used for classifications. The results obtained by WSN and identified diseases from SVM (GRBF) and KNN are sent to the concerned person using GSM and E-MAIL using Ethernet techniques. This idea saves a lot of man power, increase quality with quantity and feasible for application in precision agriculture. This Conference ICIDRET (International Conference on Inter Disciplinary Research in Engineering and Technology 2015) is a part of Association of Scientists, Developers and Faculties - International lead by President Anbuoli Parthasarathy and Secretary Kokula Krishna Hari Kunasekaran. Editor-in-Chief : SKokula Krishna Hari K. For information visit www.icidret.in
Read “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum”:
Read “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” by choosing from the options below.
Available Downloads for “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum”:
"Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 7.34 Mbs, and the file-s went public at Wed May 06 2015.
Legal and Safety Notes
Copyright Disclaimer and Liability Limitation:
A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.
B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.
C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.
D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.
E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.
Virus Scanning for Your Peace of Mind:
The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:
How to scan a direct download link for viruses:
- 1- Copy the direct link to the file you want to download (don’t open it yet). (a free online tool) and paste the direct link into the provided field to start the scan.
- 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
- 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
- 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.
Available Downloads
- Source: Internet Archive
- Internet Archive Link: Archive.org page
- All Files are Available: Yes
- Number of Files: 13
- Number of Available Files: 13
- Added Date: 2015-05-06 09:31:01
- Scanner: Internet Archive HTML5 Uploader 1.6.1
- PPI (Pixels Per Inch): 300
- OCR: ABBYY FineReader 9.0
Available Files:
1- Text PDF
- File origin: original
- File Format: Text PDF
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004.pdf
- Direct Link: Click here
2- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_files.xml
- Direct Link: Click here
3- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_meta.sqlite
- Direct Link: Click here
4- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_meta.xml
- Direct Link: Click here
5- JPEG Thumb
- File origin: original
- File Format: JPEG Thumb
- File Size: 0.00 Mbs
- File Name: __ia_thumb.jpg
- Direct Link: Click here
6- DjVu
- File origin: derivative
- File Format: DjVu
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004.djvu
- Direct Link: Click here
7- Animated GIF
- File origin: derivative
- File Format: Animated GIF
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004.gif
- Direct Link: Click here
8- Abbyy GZ
- File origin: derivative
- File Format: Abbyy GZ
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_abbyy.gz
- Direct Link: Click here
9- DjVuTXT
- File origin: derivative
- File Format: DjVuTXT
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_djvu.txt
- Direct Link: Click here
10- Djvu XML
- File origin: derivative
- File Format: Djvu XML
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_djvu.xml
- Direct Link: Click here
11- Single Page Processed JP2 ZIP
- File origin: derivative
- File Format: Single Page Processed JP2 ZIP
- File Size: 0.01 Mbs
- File Name: ICIDRET2015004_jp2.zip
- Direct Link: Click here
12- Scandata
- File origin: derivative
- File Format: Scandata
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_scandata.xml
- Direct Link: Click here
13- Archive BitTorrent
- File origin: metadata
- File Format: Archive BitTorrent
- File Size: 0.00 Mbs
- File Name: ICIDRET2015004_archive.torrent
- Direct Link: Click here
Search for “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” in Libraries Near You:
Read or borrow “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” from your local library.
Buy “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” online:
Shop for “Hybrid Embedded System Design For Real Time Monitoring The Growth And Detection Of Diseases In Oryza Sativa L And Triticum Aestivum” on popular online marketplaces.
- Ebay: New and used books.