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Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard

机译：从无人机获取的多光谱图像，用于评估Tempranillo葡萄园的空间变异性

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Trabajo presentado a la 9th European Conference on Precision Agriculture (Facing new challenges, providing new solutions), celebrada en Lleida del 7 al 11 de julio de 2013.

机译：2013年7月7日至11日在莱里达举行的第9届欧洲精准农业会议（面对新挑战，提供新解决方案）上发表的论文。

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Rey C.; Martín M.P.; Lobo Agustín; Luna Inti; Diago Maria P.; Millán Prior Borja; Tardáguila Javier;
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年度 2014
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原文格式 PDF
正文语种 eng
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1. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). (Special Issue: Advances in site-specific irrigation management and grapevine water requirements.) [J] . Baluja J., Diago M. P., Balda P., Irrigation Science . 2012,第6期

机译：使用无人飞行器（UAV）通过热图像和多光谱图像评估葡萄园水状态的可变性。（特刊：针对特定地点的灌溉管理和葡萄需水量的进步。）
2. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) [J] . Javier Baluja, Maria P. Diago, Pedro Balda, Irrigation Science . 2012,第6期

机译：使用无人飞行器（UAV）通过热图像和多光谱图像评估葡萄园水状况的变化
3. Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management [J] . Romero Maria, Luo Yuchen, Su Baofeng, Computers and Electronics in Agriculture . 2018,第期

机译：从UAV平台和机器学习算法中使用多光谱图像进行葡萄园水状态估计，用于灌溉调度管理
4. Development of an Unmanned Aerial Vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imagery [C] . D. Turner, A. Lucieer, C. Watson International Symposium on Remote Sensing of Environment . 2012

机译：基于可见光，多光谱和热图像的超分辨率葡萄园映射的无人空中车辆（UAV）的开发
5. Principal Component Analysis and Spatial Regression Techniques to Model and Map Corn and Soybean Yield Variability with Radiometrically Calibrated Multitemporal and Multispectral Digital Aerial Imagery [D] . Pritsolas, Joshua. 2018

机译：主成分分析和空间回归技术，通过辐射校准的多时相和多光谱数字航空影像对玉米和大豆的产量变异性进行建模和映射
6. Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV) [O] . Tomas Poblete, Samuel Ortega-Farías, Miguel Angel Moreno, 2017

机译：人工神经网络使用从无人机（UAV）获得的多光谱信息来预测葡萄水状态空间变异性
7. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) [O] . Baluja, Javier, Diago, Maria P., Balda, Pedro, 2012

机译：使用无人飞行器（UAV）通过热图像和多光谱图像评估葡萄园水状况的变化

Multispectral imagery acquired from a UAV to assess the spatial variability of a Tempranillo vineyard

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