Scott C. Chapman

Latest

• Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
• Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery
• ModelingGlobal Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
• Enabling breeding of spring wheat for optimisation of flowering time for current and future climates by linking genetic maps to simulation model parameters
• A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
• A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variation
• Quantifying high temperature risks and their potential effects on sorghum production in Australia
• Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?
• The shifting influence of drought and heat stress for crops in Northeast Australia
• Pheno-Copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping
• Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping