Litcius/Paper detail

Weakly-supervised learning to automatically count cotton flowers from aerial imagery

Daniel Petti, Changying Li

2022Computers and Electronics in Agriculture30 citationsDOI

Topics & Concepts

Artificial intelligenceConvolutional neural networkComputer scienceRendering (computer graphics)Binary classificationMachine learningTask (project management)Process (computing)Pattern recognition (psychology)Support vector machineManagementEconomicsOperating systemSmart Agriculture and AIRemote Sensing in AgricultureLeaf Properties and Growth Measurement
Weakly-supervised learning to automatically count cotton flowers from aerial imagery | Litcius