Africa Soil Information Service (AfSIS) Soil Chemistry

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/afsis-dataset")

fs.listdir("s3://afsis")

Description:

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. In this release, we include data collected during Phase I (2009-2013.) Georeferenced samples were collected from 19 countries in Sub-Saharan African using a statistically sound sampling scheme, and their soil properties were analyzed using both conventional soil testing methods and spectral methods (infrared diffuse reflectance spectroscopy). The two types of data can be paired to form a training dataset for machine learning, such that certain soil properties can be well-predicted through less expensive spectral techniques.

Contact:

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. In this release, we include data collected during Phase I (2009-2013.) Georeferenced samples were collected from 19 countries in Sub-Saharan African using a statistically sound sampling scheme, and their soil properties were analyzed using both conventional soil testing methods and spectral methods (infrared diffuse reflectance spectroscopy). The two types of data can be paired to form a training dataset for machine learning, such that certain soil properties can be well-predicted through less expensive spectral techniques.

Update Frequency:

As required

Managed By:

https://qed.ai/

Collabs:

• ASDI:
  • Tags: agriculture

Resources:

1. resource:

   • Description: Paired wet and dry chemistry measurements for georeferenced soils collected by the Africa Soil Information Service (AfSIS), stored as CSV and OPUS files.

   • ARN: arn:aws:s3:::afsis

   • Region: us-east-1

   • Type: S3 Bucket

Tags:

agriculture, aws-pds, environmental, food security, machine learning, life sciences, sustainability

Tutorials:

1. tutorial:
   • Title: AfSIS Soil Chemistry - Usage Tutorial
   • URL: https://github.com/qedsoftware/afsis-soil-chem-tutorial/
   • AuthorName: QED
   • AuthorURL: https://qed.ai

Publication:

1. publication:
   • Title: Goalkeepers 2018, Soil - The Big Data Beneath Your Feet
   • URL: https://www.youtube.com/watch?v=Fb9R0CnPMkc
   • AuthorName: QED
   • AuthorURL: https://qed.ai