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afsis.yaml
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afsis.yaml
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Name: Africa Soil Information Service (AfSIS) Soil Chemistry
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.
Documentation: https://github.com/qedsoftware/afsis-soil-chem-tutorial
Contact: [email protected]
ManagedBy: "[QED](https://qed.ai/)"
UpdateFrequency: As required
Collabs:
ASDI:
Tags:
- agriculture
Tags:
- agriculture
- aws-pds
- environmental
- food security
- machine learning
- life sciences
License: ODC Open Database License ("[ODbL](https://opendatacommons.org/licenses/odbl/summary/index.html)") version 1.0, with attribution to AfSIS
Resources:
- 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
DataAtWork:
Tutorials:
- Title: AfSIS Soil Chemistry - Usage Tutorial
URL: https://github.com/qedsoftware/afsis-soil-chem-tutorial/
AuthorName: QED
AuthorURL: https://qed.ai
Tools & Applications:
Publications:
- Title: Goalkeepers 2018, Soil - The Big Data Beneath Your Feet
URL: https://www.youtube.com/watch?v=Fb9R0CnPMkc
AuthorName: QED
AuthorURL: https://qed.ai