Geosurvey Collect

Overview:

Geosurvey Collect allows users to collect data in the field, such as photos and surveys, and easily scale the processing of this data via the crowd. It is the mobile app companion to our Geosurvey crowdsourcing platform. Example applications include:

  • Diagnosing plant diseases and nutrient deficiencies via remote agronomic experts.
  • Registering new patients for relief programs, with verifications handled remotely.
  • Learning what locals think of something you see in a foreign place, but cannot understand.

Our system allows admins to easily launch complex questionnaires where every question can be answered either on mobile or on the web, depending on user needs.

By leveraging web and mobile technology, we hope to bring citizen scientists together and accelerate the collection of geospatial data through worldwide collaboration.

Crop Health Analysis

Geosurvey Collect helps projects scale by connecting multiple experts that may be difficult to migrate with field operators that need remote assistance. Below is an example application for diagnosing plant nutrient deficiency and disease. Farm extension agents in Kenya and Tanzania took pictures of ailing crops in their fields, using their mobile phone. When Wi-Fi returns, these pictures are auto-uploaded to the Geosurvey platform for scalable diagnosis by crop health experts. The questions shown on the right-hand panel are interactive and employ conditional logic based on prior answers, walking users through each step of the diagnosis with visual aids along the way.

Fall Army Worm

In current events at the time of this writing, the fall army worm is devastating maize crops across Sub-Saharan Africa. This started with outbreaks in Zambia during December 2016, and spread through South Africa, Namibia, Kenya and beyond. Estimated yield losses in Kenya alone so far are on the order of $2M USD. Below are screenshots demonstrating the usage of GSC in providing visual and geospatial information about fall army outbreaks to agricultural cooperatives in Kenya that we are partnering with.

Mapping On-The-Ground Data

Data collected with Geosurvey Collect is only accepted when the mobile device’s GPS variance falls within an acceptable tolerance. Maps are generated as data streams in, providing administrators with visualizations of what in-field users are seeing and where they are seeing it.

When datasets become sufficiently large, machine learning and remote sensing can be used to generate predictive maps. We are very interested in collaboration with passionate citizen scientists and organizations with well-coordinated ground operations.

Get Started

Below are some directions on how to get started. Please note that Geosurvey Collect is still under active development.

  1. Download the Android app from the Play store here.
  2. Register for a new account.
  3. After logging in, click on “New Sample”, and you will see a listing of collections that you can submit to. Select one.
  4. Fill out all the questions, “Go to Preview”, and “Save”.
  5. When Wi-Fi returns to your device, these photos will be auto-uploaded to the Geosurvey web platform for further analysis.
  6. [Optional] For further analysis of the submitted samples using the web platform companion to Geosurvey Collect, log into Geosurvey.

 

Note that different projects can control (1) who submits to their survey, and (2) who reviews the submitted content. So there are more ongoing projects than an anonymous user can see.

If you think Geosurvey Collect could be useful for your geospatial data collection projects, please contact us to discuss how to best use this technology. We would be happy to hear from you.