Found: 27
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Temporal sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1507, doi. 10.1016/j.cj.2022.07.005
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Changes and determining factors of crop evapotranspiration derived from satellite-based dual crop coefficients in North China Plain.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1496, doi. 10.1016/j.cj.2022.07.013
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Mapping rapeseed planting areas using an automatic phenology- and pixel-based algorithm (APPA) in Google Earth Engine.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1483, doi. 10.1016/j.cj.2022.04.013
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- Article
Integrating remotely sensed water stress factor with a crop growth model for winter wheat yield estimation in the North China Plain during 2008-2018.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1470, doi. 10.1016/j.cj.2022.04.004
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Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1460, doi. 10.1016/j.cj.2021.12.011
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Function fitting for modeling seasonal normalized difference vegetation index time series and early forecasting of soybean yield.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1452, doi. 10.1016/j.cj.2021.12.013
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Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1435, doi. 10.1016/j.cj.2022.01.009
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A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1424, doi. 10.1016/j.cj.2022.04.012
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SPM-IS: An auto-algorithm to acquire a mature soybean phenotype based on instance segmentation.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1412, doi. 10.1016/j.cj.2021.05.014
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Multichannel imaging for monitoring chemical composition and germination capacity of cowpea (Vigna unguiculata) seeds during development and maturation.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1399, doi. 10.1016/j.cj.2021.04.010
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- Article
Panicle-3D: A low-cost 3D-modeling method for rice panicles based on deep learning, shape from silhouette, and supervoxel clustering.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1386, doi. 10.1016/j.cj.2022.02.007
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- Article
Estimation of transpiration coefficient and aboveground biomass in maize using time-series UAV multispectral imagery.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1376, doi. 10.1016/j.cj.2022.08.001
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- Article
Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1363, doi. 10.1016/j.cj.2022.04.005
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- Article
Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1353, doi. 10.1016/j.cj.2022.03.001
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- Article
Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1346, doi. 10.1016/j.cj.2022.08.003
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Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1334, doi. 10.1016/j.cj.2022.06.005
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- Article
An algorithm for automatic identification of multiple developmental stages of rice spikes based on improved Faster R-CNN.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1323, doi. 10.1016/j.cj.2022.06.004
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- Article
Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1251, doi. 10.1016/j.cj.2022.04.003
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Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1312, doi. 10.1016/j.cj.2022.07.003
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Estimation of spectral responses and chlorophyll based on growth stage effects explored by machine learning methods.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1292, doi. 10.1016/j.cj.2022.07.011
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Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1284, doi. 10.1016/j.cj.2022.07.009
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Field estimation of maize plant height at jointing stage using an RGB-D camera.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1274, doi. 10.1016/j.cj.2022.07.010
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The continuous wavelet projections algorithm: A practical spectral-feature-mining approach for crop detection.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1264, doi. 10.1016/j.cj.2022.04.018
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Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1303, doi. 10.1016/j.cj.2022.07.007
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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1239, doi. 10.1016/j.cj.2021.10.010
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Assessing canopy nitrogen and carbon content in maize by canopy spectral reflectance and uninformative variable elimination.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1224, doi. 10.1016/j.cj.2021.12.005
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Crop phenotyping studies with application to crop monitoring.
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- Crop Journal (2095-5421), 2022, v. 10, n. 5, p. 1221, doi. 10.1016/j.cj.2022.09.001
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