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
