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Thursday, October 17 • 8:30am - 9:15am
Plenary 2.1: Data science showcase I

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This plenary will showcase agricultural data science applications from CGIAR researchers and discuss how best their work can be supported by the Platform and partners.

AG-RE-SEARCH: An NLP-based agriculture research publication search
Satish Nagaraji, ICRISAT
  • Category: Clustering, Text mining
  • Algorithms: Maximum entropy, N-gram models 
  • Frameworks: Tensor Flow, Keras

Monitoring crop phenology using a smartphone-based near-surface remote sensing approach
Berber Kramer, IFPRI
  • Category: Classification, Preprocessing 
  • Algorithms: Neural network, Deep learning

Tracking commodities from fork to farm
Sarah Jones, Bioversity International
  • Category: Geospatial analysis
  • Tools: Raster and vector analysis in R and ArcGIS

Evaluation of ML models for predicting agronomic traits in diverse rice panel
Dmytro Chebotarov, IRRI
  • Category: Classification, Regression
  • Algorithms: Random forest, Neural network, Support vector machine, Penalized regression
  • Frameworks: Tensor Flow, Keras, scikit-learn 

avatar for Jawoo Koo

Jawoo Koo

Senior Research Fellow, IFPRI

avatar for Satish Nagaraji

Satish Nagaraji

Senior Manager - Digital Ag (M&E and Tools), ICRISAT
avatar for Berber Kramer

Berber Kramer

Research Fellow, IFPRI
avatar for Sarah Jones

Sarah Jones

Associate Scientist, Bioversity International
Geospatial data analyst with a focus on agrobiodiversity and ecosystem services
avatar for Dmytro Chebotarov

Dmytro Chebotarov

Scientist, Computational Genetics, International Rice Research Institute (IRRI)

Thursday October 17, 2019 8:30am - 9:15am GMT+05
Plenary 2 (Auditorium) ICRISAT-HQ