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Omdena

Local Chapter project

Detection and Prediction of Soil Nutrient Deficiency using Satellite Imagery (Part I)

Geospatial DataRemote sensing - Geospatial dataRemote sensing - Satellite Imagery - GEESatellite ImageryResearchAnomaly Detection
Start date
July 17, 2022
Finish date
August 19, 2022
Project status
completed
Detection and Prediction of Soil Nutrient Deficiency using Satellite Imagery (Part I)

Goal of the project

1. Extract and process the satellite data available from our partner institutions and organizations (NASA, UNWP, FAO, Worldbank, local organizations and other possible sources). Here are the suggested data to be extracted from the satellite imagery: a. Nitrogen b. Phosporous c. Soil Erosion d. Precipitation 2. Educate our volunteers about how to extract and process a satellite Imagery Ideate and create a solution pipeline to build a dashboard that detects and predicts soil nutrient deficiency. Here the some guidelines for this goal: a. What other data do we need to build the model? b. What model(s) to utilize? c. What technology to utilize? 3. Prepare the volunteers for the upcoming part 2 of the challenge

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

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