Litcius/Paper detail

Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia

Roger Lawes, G. Mata, Jonathan Richetti, Andrew Fletcher, Chris Herrmann

2022Agronomy for Sustainable Development20 citationsDOIOpen Access PDF

Topics & Concepts

CanolaCrop rotationCrop yieldCropHectareYield (engineering)Environmental scienceAgricultureAgronomyAgricultural engineeringField peaMathematicsAgroforestryGeographyEngineeringBiologyArchaeologyMetallurgyMaterials scienceClimate change impacts on agricultureRemote Sensing in AgricultureCrop Yield and Soil Fertility
Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia | Litcius