PestPredict-RBS (Vol. 2.0) Application icon

PestPredict-RBS (Vol. 2.0) 1.0

498.8 KB / 1+ Downloads / Rating 5.0 - 1 reviews


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PestPredict-RBS (Vol. 2.0), developed and published by ICAR-NCIPM, New Delhi, has released its latest version, 1.0, on 2020-05-19. This app falls under the Education category on the Google Play Store and has achieved over 100 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

PestPredict-RBS (Vol. 2.0) APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: nic.pestpredict_rbsvol2

Updated: 5 years ago

Developer Name: ICAR-NCIPM, New Delhi

Category: Education

Installation Instructions

This article outlines two straightforward methods for installing PestPredict-RBS (Vol. 2.0) on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

PestPredict-RBS (Vol. 2.0) 1.0
2020-05-19 / 498.8 KB / Android 4.1+

About this app

Models have been coded as Mobile apps (android based) to serve as handy tools for issue of “pest alerts’ within the framework of ‘integrated pest management’ to take informed and instant decisions on status and management of pests on target crops.

Forewarning of major rice pests for seven locations viz., Ludhiana (Punjab), Chinsurah (West Bengal), Raipur (Chhattisgarh), Karjat (Maharashtra), Kampasagar (Telangana), Mandya (Karnataka) and Aduthurai (Tamil Nadu), severity of Spodoptera litura on groundnut at Dharwad (Karnataka), Kadiri (AP) and Junagadh (GJ) and early blight of tomato at Bengaluru (Karnataka) have been developed and tested for use at field level. Predictions on pest severity were based on light trap catches for rice insect pests, pheromone trap catches of Spodoptera on groundnut and early blight & target spot severity on tomato. Named as Pestpredict-RBS (rule-based system), the mobile app requires the values of weather variables of the current week to be input for the desired location of prediction so as to know the severity levels of selected insect pest/disease for the coming week.