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Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

机译：深入学习应用于与无人机的RGB图像觅食的生物量表型

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Wellington Castro; José Marcato Junior; Caio Polidoro; Lucas Prado Osco; Wesley Gonçalves; Lucas Rodrigues; Mateus Santos; Liana Jank; Sanzio Barrios; Cacilda Valle; Rosangela Simeão; Camilo Carromeu; Eloise Silveira; Lúcio André de Castro Jorge; Edson Matsubara;
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1. POTENTIAL OF NON-CALIBRATED UAV-BASED RGB IMAGERY FOR FORAGE MONITORING: CASE STUDY AT THE RENGEN LONG-TERM GRASSLAND EXPERIMENT (RGE), GERMANY [J] . Bareth G., Lussem U., Menne J., International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2019,第1期

机译：基于非校准无人机的RGB影像的潜力，用于牧草监测：以德国伦根长期草原实验（RGE）为例
2. Evaluation of cotton emergence using UAV-based imagery and deep learning [J] . Feng Aijing, Zhou Jianfeng, Vories Earl, Computers and Electronics in Agriculture . 2020,第1期

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3. Development and evaluation of a deep learning model for real-time ground vehicle semantic segmentation from UAV-based thermal infrared imagery [J] . Masouleh Mehdi Khoshboresh, Shah-Hosseini Reza ISPRS Journal of Photogrammetry and Remote Sensing . 2019,第SEPa期

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4. Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery [C] . Luís Pádua, Telmo Adão, Jonáš Hruška, International Geoscience and Remote Sensing Symposium . 2020

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5. Attention and Depth Hallucination for RGB-D Face Recognition with Deep Learning [D] . Uppal, Hardik. 2021

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6. Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning [O] . Jing Zhou, Huawei Mou, Jianfeng Zhou, 2021

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7. Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks [O] . Somayeh Nezami, Ehsan Khoramshahi, Olli Nevalainen, 2020

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Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery

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