Found: 22
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Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture.
- Published in:
- ISPRS International Journal of Geo-Information, 2021, v. 10, n. 10, p. 677, doi. 10.3390/ijgi10100677
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- Article
Assessing land leveling needs and performance with unmanned aerial system.
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- Journal of Applied Remote Sensing, 2018, v. 12, n. 1, p. 016001-1, doi. 10.1117/1.jrs.12.016001
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- Article
Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery.
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- Journal of Applied Remote Sensing, 2016, v. 10, n. 3, p. 1, doi. 10.1117/1.JRS.10.036018
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- Article
Improving Irrigation Management of Cotton with Small Unmanned Aerial Vehicle (UAV) in Texas High Plains.
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- Water (20734441), 2024, v. 16, n. 9, p. 1300, doi. 10.3390/w16091300
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- Article
Cotton row spacing and unmanned aerial vehicle sensors.
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- Agronomy Journal, 2022, v. 114, n. 1, p. 331, doi. 10.1002/agj2.20902
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- Article
Comparison of Two Tillage Practices in a Semi-Arid Cotton-Grain Sorghum Rotation.
- Published in:
- Agronomy Journal, 2018, v. 110, n. 4, p. 1572, doi. 10.2134/agronj2017.12.0706
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- Article
Cotton Fiber Quality is Related to Boll Location and Planting Date.
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- Agronomy Journal, 2004, v. 96, n. 1, p. 42, doi. 10.2134/agronj2004.4200
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- Publication type:
- Article
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops.
- Published in:
- Remote Sensing, 2024, v. 16, n. 11, p. 1906, doi. 10.3390/rs16111906
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- Publication type:
- Article
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping.
- Published in:
- Remote Sensing, 2021, v. 13, n. 6, p. 1144, doi. 10.3390/rs13061144
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- Article
3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery.
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- Remote Sensing, 2021, v. 13, n. 2, p. 282, doi. 10.3390/rs13020282
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- Article
Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease.
- Published in:
- 2020
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- Publication type:
- Letter
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.
- Published in:
- Remote Sensing, 2020, v. 12, n. 18, p. 2981, doi. 10.3390/rs12182981
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- Publication type:
- Article
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2757, doi. 10.3390/rs11232757
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- Publication type:
- Article
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture.
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- Remote Sensing, 2019, v. 11, n. 13, p. 1548, doi. 10.3390/rs11131548
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- Publication type:
- Article
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data.
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- Remote Sensing, 2018, v. 10, n. 12, p. 1895, doi. 10.3390/rs10121895
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- Publication type:
- Article
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation.
- Published in:
- Journal of Sensors, 2021, p. 1, doi. 10.1155/2021/8875606
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- Publication type:
- Article
Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).
- Published in:
- Journal of Sensors, 2020, p. 1, doi. 10.1155/2020/8899325
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- Publication type:
- Article
Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).
- Published in:
- Journal of Sensors, 2020, p. 1, doi. 10.1155/2020/8899325
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- Publication type:
- Article
Monitoring cotton ( Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images.
- Published in:
- Precision Agriculture, 2018, v. 19, n. 1, p. 161, doi. 10.1007/s11119-017-9508-7
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- Article
Evaluating unsupervised and supervised image classification methods for mapping cotton root rot.
- Published in:
- Precision Agriculture, 2015, v. 16, n. 2, p. 201, doi. 10.1007/s11119-014-9370-9
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- Article
Unmanned aerial system‐based high‐throughput phenotyping for plant breeding.
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- Plant Phenome Journal, 2023, v. 6, n. 1, p. 1, doi. 10.1002/ppj2.20058
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- Publication type:
- Article
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 8, p. 2432, doi. 10.3390/s24082432
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- Publication type:
- Article