What The Crop aims to alert the farmers through SMS capability and dashboard visualization. The farmers will receive alerts about infestation, extreme weather and the distance and probability of it occurring. The farmers can also provide What The Crop with pictures about possible infestation. Using machine learning, What The Crop is able to make intelligent guess about the possible infestation and make recommendations.

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


whatthecrop logo


  • Assist farmers to better understand the weather condition and possible disease and infestation
  • Provide an intelligent guess when farmers send What The Crop an image
  • A dashboard that provides information for farmers to observe trends, possible infestation and recommended mitigations

How farmers can use this

Farmers can constantly send updates to WhatTheCrop! This acts as a diary for their crop health.

  1. Send an SMS to our number with the crop status, e.g. "strawberries, no pest, ready for harvest in a month"
  2. They will receive alerts on anomalous events, e.g. "Look out for blue beetles, particular on green leafs. Possible infestation spreading"

How this works

We use Twilio to handle all SMS related activities. The farmer texts our number with the status, this is handled by Twilio which calls our URL endpoint and the magic continues on our web servers hosted on BlueMix. We then clean the data and record them. When there are interesting events that we feel farmers should be notified of, e.g. extreme weather conditions, we trigger our alert system to warn the farmers.

Sponsored API

farmers to whatthecrop

whatthecrop for farmers

Project Information

License: NASA Open Source Agreement 1.3 (NASA-1.3)

Source Code/Project URL: https://github.com/spaceappsnyc/whatthecrop


What The Crop Logo - https://www.dropbox.com/s/89jv4uivo9jvb7j/LOGO.png?dl=0
Farmers to What The Crop - https://www.dropbox.com/s/02tzj8xvayub3v7/SCREEN1.jpg?dl=0
What The Crop to Farmers - https://www.dropbox.com/s/hdcrbdk7k0d6t3o/SCREEN2.jpg?dl=0
Sugarbeet information - http://www.ipm.ucdavis.edu/PMG/r735300811.html
Rice information - http://www.ipm.ucdavis.edu/PMG/r682300111.html


  • Marilyn Chew
  • Abdul Hadi Abdul Halim
  • Sze How CHAN
  • Ng Zhi An