Found: 17
Select item for more details and to access through your institution.
Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data.
- Published in:
- Journal of Plant Research, 2021, v. 134, n. 4, p. 729, doi. 10.1007/s10265-020-01249-1
- By:
- Publication type:
- Article
Utilization of the Fusion of Ground-Space Remote Sensing Data for Canopy Nitrogen Content Inversion in Apple Orchards.
- Published in:
- Horticulturae, 2023, v. 9, n. 10, p. 1085, doi. 10.3390/horticulturae9101085
- By:
- Publication type:
- Article
Multispectral versus texture features from ZiYuan-3 for recognizing on deciduous tree species with cloud and SVM models.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28532-0
- By:
- Publication type:
- Article
Hyperspectral Models for Estimating Chlorophyll Content of Young Apple Tree Leaves.
- Published in:
- Intelligent Automation & Soft Computing, 2015, v. 21, n. 3, p. 383, doi. 10.1080/10798587.2015.1015776
- By:
- Publication type:
- Article
HYPERSPECTRAL ESTIMATION OF APPLE CANOPY CHLOROPHYLL CONTENT USING AN ENSEMBLE LEARNING APPROACH.
- Published in:
- Applied Engineering in Agriculture, 2021, v. 37, n. 3, p. 505, doi. 10.13031/aea.13935
- By:
- Publication type:
- Article
Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory–Convolutional Neural Networks: A Case Study.
- Published in:
- Remote Sensing, 2024, v. 16, n. 7, p. 1256, doi. 10.3390/rs16071256
- By:
- Publication type:
- Article
Comparison of Machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries.
- Published in:
- Remote Sensing, 2021, v. 13, n. 16, p. 3073, doi. 10.3390/rs13163073
- By:
- Publication type:
- Article
Extraction of Information about Individual Trees from High-Spatial-Resolution UAV-Acquired Images of an Orchard.
- Published in:
- Remote Sensing, 2020, v. 12, n. 1, p. 133, doi. 10.3390/rs12010133
- By:
- Publication type:
- Article
Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images.
- Published in:
- Sensors (14248220), 2022, v. 22, n. 9, p. 3503, doi. 10.3390/s22093503
- By:
- Publication type:
- Article
Effective Screening and Texture Segmentation of Green Vegetation Cover Based on UAV Images.
- Published in:
- Traitement du Signal, 2022, v. 39, n. 4, p. 1435, doi. 10.18280/ts.390438
- By:
- Publication type:
- Article
Optimal Time Phase Identification for Apple Orchard Land Recognition and Spatial Analysis Using Multitemporal Sentinel-2 Images and Random Forest Classification.
- Published in:
- Sustainability (2071-1050), 2023, v. 15, n. 6, p. 4695, doi. 10.3390/su15064695
- By:
- Publication type:
- Article
Retrieval of Nitrogen Content in Apple Canopy Based on Unmanned Aerial Vehicle Hyperspectral Images Using a Modified Correlation Coefficient Method.
- Published in:
- Sustainability (2071-1050), 2022, v. 14, n. 4, p. N.PAG, doi. 10.3390/su14041992
- By:
- Publication type:
- Article
Multi-Temporal Arable Land Monitoring in Arid Region of Northwest China Using a New Extraction Index.
- Published in:
- Sustainability (2071-1050), 2021, v. 13, n. 9, p. 5274, doi. 10.3390/su13095274
- By:
- Publication type:
- Article
Soil organic carbon estimation using remote sensing data-driven machine learning.
- Published in:
- PeerJ, 2024, p. 1, doi. 10.7717/peerj.17836
- By:
- Publication type:
- Article
Estimation of Chlorophyll Content in Apple Leaves Based on Imaging Spectroscopy.
- Published in:
- Journal of Applied Spectroscopy, 2019, v. 86, n. 3, p. 457, doi. 10.1007/s10812-019-00841-1
- By:
- Publication type:
- Article
Optimum Phenological Phases for Deciduous Species Recognition: A Case Study on Quercus acutissima and Robinia pseudoacacia in Mount Tai.
- Published in:
- Forests (19994907), 2022, v. 13, n. 5, p. N.PAG, doi. 10.3390/f13050813
- By:
- Publication type:
- Article
Evaluation of the nitrogen content during the new-shoot-growing stage in apple leaves using two-dimensional correlation spectroscopy.
- Published in:
- PLoS ONE, 2017, v. 12, n. 10, p. 1, doi. 10.1371/journal.pone.0186751
- By:
- Publication type:
- Article