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CGLabs use cases
Ani Ghosh, Prakash Jha, Julian Ramirez-Villegas
Digital Dynamism for Adaptive Food Systems
CGIAR Big Data in Agriculture Convention 2020
October 21, 2020
What is CGLabs?
For users
โ€ข A portable workstation
โ€ข Access to terminals or
notebooks with git
integrations
For system admins
Complete Jupyterhub
experience without the
complicated setup
CGLabs
CGIAR data
mapped into
GARDIAN
1. CCAFS-Climate
2. MapSPAM
3. HC27โ€ฆ
Other datasets
available in the internet
My own or my
Centerโ€™s local
data
Link
Download
SFTP transfer/Filezilla
1. CHIRPS
2. SoilGrids
3. โ€ฆ
BVI-CIAT DV
IFPRIโ€™s DV
โ€ฆ
Data
Computing resource
Cloud resource
(AWS, GCP, Azure)
Local Cluster
at my center
Code sharing
GitHub
Use case: Crop suitability prediction
Challenges
i) Downloading past and future climate data with
slow internet speed
ii) Process 100s of simulation models (ecocrop,
random forest) with 40+crops and climate
scenario combinations
ecocrop
download
Use case: Crop suitability prediction
Changes in common bean suitability (A) current; (B) Future
Kenya Ethiopia
Use case: Yield prediction at scale
Challenge
WOFOST/DSSAT simulation with large
number of parameters
wofost
DSSAT
Wheat yield potential (WOFOST)
Use case: Yield prediction at scale
Effect of varying planting dates on bean yield (DSSAT)
Is it customizable?
โ€ข Yes! Check out https://github.com/SCiO-systems/cgspatial-notebook
โ€ข Need to add more R or Python packages?
Add your r-install command here
install.packages(โ€œterraโ€)
What would we like to see in the future?
โ€ข Hardware-native docker install with ----
โ€ข Automatic connection to storage (S3, GCS or local file systems)
โ€ข Shared storage between users
โ€ข Cluster (e.g. Kubernetes) support
โ€ข Ability to auto-scale in the cloud
โ€ข Choice of selecting Spot/Preemptible Instances to reduce your cost
Thank you!
Ani Ghosh
Agriculture Risk Data Scientist
A.Ghosh@cgiar.org

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2020 BIG DATA CG Labs Use Cases

  • 1. CGLabs use cases Ani Ghosh, Prakash Jha, Julian Ramirez-Villegas Digital Dynamism for Adaptive Food Systems CGIAR Big Data in Agriculture Convention 2020 October 21, 2020
  • 2. What is CGLabs? For users โ€ข A portable workstation โ€ข Access to terminals or notebooks with git integrations For system admins Complete Jupyterhub experience without the complicated setup
  • 3. CGLabs CGIAR data mapped into GARDIAN 1. CCAFS-Climate 2. MapSPAM 3. HC27โ€ฆ Other datasets available in the internet My own or my Centerโ€™s local data Link Download SFTP transfer/Filezilla 1. CHIRPS 2. SoilGrids 3. โ€ฆ BVI-CIAT DV IFPRIโ€™s DV โ€ฆ Data Computing resource Cloud resource (AWS, GCP, Azure) Local Cluster at my center Code sharing GitHub
  • 4. Use case: Crop suitability prediction Challenges i) Downloading past and future climate data with slow internet speed ii) Process 100s of simulation models (ecocrop, random forest) with 40+crops and climate scenario combinations ecocrop download
  • 5. Use case: Crop suitability prediction Changes in common bean suitability (A) current; (B) Future Kenya Ethiopia
  • 6. Use case: Yield prediction at scale Challenge WOFOST/DSSAT simulation with large number of parameters wofost DSSAT
  • 7. Wheat yield potential (WOFOST) Use case: Yield prediction at scale Effect of varying planting dates on bean yield (DSSAT)
  • 8. Is it customizable? โ€ข Yes! Check out https://github.com/SCiO-systems/cgspatial-notebook โ€ข Need to add more R or Python packages? Add your r-install command here install.packages(โ€œterraโ€)
  • 9. What would we like to see in the future? โ€ข Hardware-native docker install with ---- โ€ข Automatic connection to storage (S3, GCS or local file systems) โ€ข Shared storage between users โ€ข Cluster (e.g. Kubernetes) support โ€ข Ability to auto-scale in the cloud โ€ข Choice of selecting Spot/Preemptible Instances to reduce your cost
  • 10. Thank you! Ani Ghosh Agriculture Risk Data Scientist A.Ghosh@cgiar.org