Due to insufficient information about the progress of crop pests huge number of people in the world has been affected by these pests.Timely data about these pests can help the growers to mitigate the onset of epidemics. The major Challenges include Stakeholder identification, Crowd sourced data and Image identification through user rating system , Early alert system for stakeholders, Advance Information about specific pests and Linkage development between pests & the meteorological factors.

This project is solving the Crop Alert – Learning From the Growers challenge.


The main goal of this project is to help the growers who face challenges from crop pests and diseases by using both crowd source data and already developed database of different agricultural agencies of the world. We want to develop such an app in which local growers can share information about pests and diseases affecting their crops and the effects on their harvest. We want to map the spread with time of the pests/ diseases from the growers’ information.

In this way we can create early alert system for farmers in neighboring regions, provide them with information in advance about specific pests/ diseases they will need to protect their crops from. We are also creating an additional data source for scientists to investigate the links between crop pest / disease spread and the contributing economic, social and meteorological factors.

Our app also incorporates a Crowd sourced photo library that users can search to identify the issue affecting their crop. Users also have the option of adding to this library. We are developing a user rating system if the user doesn't know the name of the pest or disease, then other users could help to identify it.

Project Information

License: MIT license (MIT)

Source Code/Project URL:


Crop_Alert_Presentation -


  • Joy Bhattacharjee
  • Sadid Khan
  • Moshiur Rahman