Faster R-CNN-based deep learning for locating corn tassels in UAV imagery
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[1] Zhe Xu,et al. Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV , 2014, Remote. Sens..
[2] Ismail Kavdir,et al. Detecting corn tassels using computer vision and support vector machines , 2014, Expert Syst. Appl..
[3] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[5] Tristan Perez,et al. DeepFruits: A Fruit Detection System Using Deep Neural Networks , 2016, Sensors.
[6] Sergio Guadarrama,et al. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Jitendra Malik,et al. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Jefersson Alex dos Santos,et al. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains? , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[9] James Patrick Underwood,et al. Deep fruit detection in orchards , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[10] Nataliia Kussul,et al. Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data , 2017, IEEE Geoscience and Remote Sensing Letters.
[11] Minzan Li,et al. Corn tassel detection based on image processing , 2011, International Workshop on Image Processing and Optical Engineering.
[12] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] K. Lamkey,et al. MAIZE BREEDING , 2005 .
[14] Zhiguo Cao,et al. Fine-grained maize tassel trait characterization with multi-view representations , 2015, Comput. Electron. Agric..
[15] Andreas Kamilaris,et al. Deep learning in agriculture: A survey , 2018, Comput. Electron. Agric..
[16] Nithya Rajan,et al. Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research , 2016, PloS one.
[17] Roland Siegwart,et al. weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming , 2017, IEEE Robotics and Automation Letters.
[18] Yuntao Ma,et al. Detection of Maize Tassels from UAV RGB Imagery with Faster R-CNN , 2020, Remote. Sens..
[19] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[20] Zhiguo Cao,et al. TasselNet: counting maize tassels in the wild via local counts regression network , 2017, Plant Methods.
[21] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[22] Cyrill Stachniss,et al. REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS , 2017 .
[23] Sang Cheol Kim,et al. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition , 2017, Sensors.