A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A patch-based convolutional neural network for remote sensing image classification

(2017) Atharva Sharma et al.   NEURAL NETWORKS

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery

(2017) Afroditi Tamouridou et al.   SENSORS

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

(2017) Thomas Alexandridis et al.   SENSORS

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

(2017) Gang Fu et al.   Remote Sensing

Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize

(2016) F. Castaldi et al.   PRECISION AGRICULTURE

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

(2015) M. Pérez-Ortiz et al.   APPLIED SOFT COMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds

(2015) Francisca López-Granados et al.   PRECISION AGRICULTURE

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

(2015) Fan Hu et al.   Remote Sensing

Airborne multi-spectral imagery for mapping cruciferous weeds in cereal and legume crops

(2011) Ana Isabel de Castro et al.   PRECISION AGRICULTURE

Current status and future directions of precision aerial application for site-specific crop management in the USA

(2010) Yubin Lan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE