Maize tassel detection from UAV imagery using deep learning

Dataset associated with paper titled \"Maize Tassel Detection from UAV Imagery Using Deep Learning\" published on the journal of Frontiers in Robotics and AI (DOI: 10.3389/frobt.2021.600410).

The timing of flowering plays a critical role in determining the productivity of agricultural crops. If the crops flower too early, the crop would mature before the end of the growing season, losing the opportunity to capture and use large amounts of light energy. If the crops flower too late, the crop may be killed by the change of seasons before it is ready to harvest. Maize flowering is one of the most important periods where even small amounts of stress can significantly alter yield. In this work, we developed and compared two methods for automatic tassel detection based on the imagery collected from an unmanned aerial vehicle, using deep learning models. The first approach was a customized framework for tassel detection based on convolutional neural network (TD-CNN). The other method was a st...