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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/8107
Title: | user manual pestpredict:an android application |
Other Titles: | Not Available |
Authors: | Vennila S, Ankur Tomar, Manisha Bagri, Gajab Singh, Satish Kumar Yadav, Niranjan Singh,Girish Kumar Jha, Amrender Jha, DK Das, Alpana Kumari, Puran Chandra, Himanshi Dwivedi, Mobin Ahmad, Pradeep Prajapati, Abhinav Singh, MS Rao and M Prabhakar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Centre for Integrated Pest Management |
Published/ Complete Date: | 2016-01-01 |
Project Code: | Not Available |
Keywords: | PESTPREDICT, user manual, Android |
Publisher: | Not Available |
Citation: | Vennila S, Ankur Tomar, Manisha Bagri, Gajab Singh, Satish Kumar Yadav, Niranjan Singh,Girish Kumar Jha, Amrender Jha, DK Das, Alpana Kumari, Puran Chandra, Himanshi Dwivedi, Mobin Ahmad, Pradeep Prajapati, Abhinav Singh, MS Rao and M Prabhakar.2016. User Manual on PESTPREDICT : An Android Application. ICAR-National Research Centre for Integrated Pest Management, New Delhi, India. 12 pp. |
Series/Report no.: | Not Available; |
Abstract/Description: | Weather based pest forecasts form an essential component of integrated pest management (IPM). PESTPREDICT is a mobile application developed using Java and Android version 4.1 (Jelly Bean) in Eclipse Juno framework for weather based predictions of insect pests and diseases of Rice, Pigeonpea, Groundnut and Tomato developed based on field data on pests and weather accrued through ICT based pest surveillance under National Innovation in Climate Resilient Agriculture. Models of pest forecasts developed using approaches ranging from simple thumb rules to sophisticated statistical models for 25 locations across India have been built in the mobile application. In Pest Prediction Empirical Model Based System [PESTPREDICT - EMS (kharif)] user can get predictions of 29 insects, 24 diseases and two generalist predators (coccinellids and spiders) across crops (locations) of rice (6), pigeonpea (6), groundnut(5) and tomato across 11 States by providing inputs of weather associated with model equations of kharif. PESTPREDICT-EMS (rabi) offers prediction of insect pests and diseases of rabi groundnut for locations of Anantapur (AP), Junagadh (GJ), Dharwad (KA) and Cuddalore (TN). Rule based system predicting largely rice insect pests, Spodoptera litura of groundnut and early blight of tomato (PESTPREDICT-RBS) are built in the mobileapp. PESTPREDICT assists researchers, extension personnel of agriculture and farmers to get location specific forecasts of desired insect pest(s) or disease(s) for their effective management on target crops. PESTPREDICT reduces calculation efforts and provides an instant and extempore framework for use of developed prediction models. The open source application also facilitates easy prediction of insect pest dynamics for the current and future climate scenarios when the relevant values of temperature relating to the emission scenarios are available. Currently this application is aimed for field use to predict the incidence of pests of four target crops of the real time pest dynamic study locations under National Innovations in Climate Resilient Agriculture (NICRA) for the purposes of issuing ‘pest alerts’ at times of high severity or above economic threshold levels. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Book |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/8107 |
Appears in Collections: | CS-NCIPM-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
User Manual PESTPREDICT An android application.pdf | 1.88 MB | Adobe PDF | View/Open |
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