KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/49484| Title: | Online Software for Forewarning of Onion Thrips |
| Other Titles: | Not Available |
| Authors: | Subashchandra Alka Arora Amrender Kumar Rajni Jain Sudeep Marwaha Tanuj Misra |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute ICAR::National Institute of Agricultural Economics and Policy Research ICAR::Indian Agricultural Research Institute |
| Published/ Complete Date: | 2016-03-16 |
| Project Code: | Not Available |
| Keywords: | Weather based model Onion Onion thrip IASRI |
| Publisher: | Not Available |
| Citation: | Subashchandra, Alka Arora, Rajni Jain Sudeep Marwaha and Tanuj Misra (2016). Online Software for Forewarning of Onion Thrips, Proceedings of the 10th INDIACom; INDIACom-2016; IEEE Conference ID: 37465 3rd 2016 International Conference on “Computing for Sustainable Global Development”, 16th – 18th March, 2016 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA) |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Onion, Allium cepa, contribution is significant in foreign exchange under vegetables in India. Onion thrips, Thrips tabaci Lindeman, is a potential pest of onion and causes considerable losses in the yield. Onion production as well as infestation of crop pests and diseases is highly related to weather. These losses can be reduced to a considerable extent if their occurrence and severity is known in advance. Indian Agricultural Statistical Research Institute (IASRI) have developed weather based forewarning models on the data taken from Directorate of Onion and Garlic Research (DOGR), Pune. Models have been developed for thirteen dates of sowing for the forewarning of crop age at first appearance of thrips, crop age at peak population of thrips and maximum thrips population. To disseminate the information in effective manner, online software has been developed based on these weather models. Online system has been developed using three-tier architecture. Client layer in implemented using Hypertext Markup Language (HTML), Cascading Style Sheet (CSS) and Java script. Application layer is implemented using Java Server Pages (JSP) and database layer is implemented in Microsoft SQL Server. The models developed were tested with observed and predicted value and percentage deviation was computed. |
| Description: | Not Available |
| ISSN: | 0973-7529 |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Proceedings of the 10th INDIACom; INDIACom-2016; IEEE Conference ID: 37465 |
| NAAS Rating: | Not Available |
| Volume No.: | Not Available |
| Page Number: | 5559-5561 |
| Name of the Division/Regional Station: | Computer Application |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/49484 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| onion thrips Paper IndiaCom.pdf | 471.63 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.