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Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China
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Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

Han, Jichong ; Zhang, Zhao ; Cao, Juan ; Luo, Yuchuan ; Zhang, Liangliang ; Li, Ziyue ; Zhang, Jing

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.236 [Periódico revisado por pares]

Basel: MDPI AG

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2
Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model
Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model
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Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model

Li, Zhenhai ; Jin, Xiuliang ; Yang, Guijun ; Drummond, Jane ; Yang, Hao ; Clark, Beth ; Li, Zhenhong ; Zhao, Chunjiang

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1463 [Periódico revisado por pares]

Basel: MDPI AG

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3
Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum
Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum
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Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum

Li, Hongjun ; Zhang, Yuming ; Lei, Yuping ; Antoniuk, Vita ; Hu, Chunsheng

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.95 [Periódico revisado por pares]

Basel: MDPI AG

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4
Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes
Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes
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Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes

Hernandez, Javier ; Lobos, Gustavo A ; Matus, Ivan ; Pozo, Alejandro del ; Silva, Paola ; Galleguillos, Mauricio

Remote sensing (Basel, Switzerland), 2015-02, Vol.7 (2), p.2109-2126 [Periódico revisado por pares]

Basel: MDPI AG

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5
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China
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Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China

Tian, Haifeng ; Pei, Jie ; Huang, Jianxi ; Li, Xuecao ; Wang, Jian ; Zhou, Boyan ; Qin, Yaochen ; Wang, Li

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3539 [Periódico revisado por pares]

Basel: MDPI AG

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6
High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
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High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

Holman, Fenner H ; Riche, Andrew B ; Michalski, Adam ; Castle, March ; Wooster, Martin J ; Hawkesford, Malcolm J

Remote sensing (Basel, Switzerland), 2016-12, Vol.8 (12), p.1031-1031 [Periódico revisado por pares]

Basel: MDPI AG

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7
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
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Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

Wang, Yumiao ; Zhang, Zhou ; Feng, Luwei ; Du, Qingyun ; Runge, Troy

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1232 [Periódico revisado por pares]

Basel: MDPI AG

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8
Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery
Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery
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Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery

Schirrmann, Michael ; Giebel, Antje ; Gleiniger, Franziska ; Pflanz, Michael ; Lentschke, Jan ; Dammer, Karl-Heinz

Remote sensing (Basel, Switzerland), 2016-09, Vol.8 (9), p.706-706 [Periódico revisado por pares]

Basel: MDPI AG

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9
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
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Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar

ten Harkel, Jelle ; Bartholomeus, Harm ; Kooistra, Lammert

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.17 [Periódico revisado por pares]

Basel: MDPI AG

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10
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery
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Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery

Tian, Haifeng ; Wang, Yongjiu ; Chen, Ting ; Zhang, Lijun ; Qin, Yaochen

Remote sensing (Basel, Switzerland), 2021-10, Vol.13 (19), p.3822 [Periódico revisado por pares]

Basel: MDPI AG

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