Murilo M. Maeda
Current Opinion in Biotechnology · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Murilo M. Maeda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Murilo M. Maeda's perspective
Ordered by how strongly the researchers Murilo M. Maeda trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture (Remote Sensing)
- Spectral difference analysis and airborne imaging classification for citrus greening infected trees
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley (International Journal of Applied Earth Observation and Geoinformation)
- Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees
- Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
- Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System (Remote Sensing)
- Multiple view geometry in computer vision (2. ed.)
Their papers
- The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. (2020) — 339 citations
- Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images (2018) — 59 citations
- Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment (2017) — 98 citations