Found: 15
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Automated Hyperspectral Feature Selection and Classification of Wildlife Using Uncrewed Aerial Vehicles.
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- Remote Sensing, 2024, v. 16, n. 2, p. 406, doi. 10.3390/rs16020406
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- Article
Controllable factors affecting accuracy and precision of human identification of animals from drone imagery.
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- Ecosphere, 2023, v. 14, n. 9, p. 1, doi. 10.1002/ecs2.4657
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- Article
Impact of soil moisture stress during the silk emergence and grain‐filling in maize.
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- Physiologia Plantarum, 2023, v. 175, n. 5, p. 1, doi. 10.1111/ppl.14029
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- Article
Phenological stage and vegetation index for predicting corn yield under rainfed environments.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1168732
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- Article
Impact of soil moisture stress during the silk emergence and grain‐filling in maize.
- Published in:
- Physiologia Plantarum, 2023, v. 175, n. 5, p. 1, doi. 10.1111/ppl.14029
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- Publication type:
- Article
Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-37295-7
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- Article
Evidence on the efficacy of small unoccupied aircraft systems (UAS) as a survey tool for North American terrestrial, vertebrate animals: a systematic map.
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- Environmental Evidence, 2023, v. 12, n. 1, p. 1, doi. 10.1186/s13750-022-00294-8
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- Article
Hyperspectral Reflectance and Machine Learning Approaches for the Detection of Drought and Root–Knot Nematode Infestation in Cotton.
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- Remote Sensing, 2022, v. 14, n. 16, p. 4021, doi. 10.3390/rs14164021
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- Article
Effects of drought and heat stresses during reproductive stage on pollen germination, yield, and leaf reflectance properties in maize (Zea mays L.).
- Published in:
- Plant Direct, 2022, v. 6, n. 8, p. 1, doi. 10.1002/pld3.434
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- Article
Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing.
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- Remote Sensing, 2021, v. 13, n. 19, p. 3859, doi. 10.3390/rs13193859
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- Article
Improving Animal Monitoring Using Small Unmanned Aircraft Systems (sUAS) and Deep Learning Networks.
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- Sensors (14248220), 2021, v. 21, n. 17, p. 5697, doi. 10.3390/s21175697
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- Article
Evidence on the effectiveness of small unmanned aircraft systems (sUAS) as a survey tool for North American terrestrial, vertebrate animals: a systematic map protocol.
- Published in:
- Environmental Evidence, 2021, v. 10, n. 1, p. 1, doi. 10.1186/s13750-021-00228-w
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- Publication type:
- Article
Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform.
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- Remote Sensing, 2021, v. 13, n. 7, p. 1255, doi. 10.3390/rs13071255
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- Article
Estimating waterbird abundance on catfish aquaculture ponds using an unmanned aerial system.
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- Human-Wildlife Interactions, 2019, v. 13, n. 2, p. 317
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- Article
Three-dimensional discrete cosine transform-based feature extraction for hyperspectral image classification.
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- Journal of Applied Remote Sensing, 2018, v. 12, n. 4, p. 046010-1, doi. 10.1117/1.JRS.12.046010
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- Article