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Kefauver, S.C.[Shawn C.],
Araus, J.L.[José L.],
Phenotyping Conservation Agriculture Management Effects on Ground and
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Maresma, Á.[Ángel],
Ariza, M.[Mar],
Martínez, E.[Elías],
Lloveras, J.[Jaume],
Martínez-Casasnovas, J.A.[José A.],
Erratum: Maresma, A., et al. Analysis of Vegetation Indices to
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Varela, S.[Sebastian],
Dhodda, P.R.[Pruthvidhar Reddy],
Hsu, W.H.[William H.],
Prasad, P.V.V.[P. V. Vara],
Assefa, Y.[Yared],
Peralta, N.R.[Nahuel R.],
Griffin, T.[Terry],
Sharda, A.[Ajay],
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1804
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Maresma, Á.[Ángel],
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Use of Multispectral Airborne Images to Improve In-Season Nitrogen
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Zhou, C.,
Yang, G.,
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An Integrated Skeleton Extraction and Pruning Method for Spatial
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IEEE DOI
1808
autonomous aerial vehicles, crops, feature extraction,
geophysical image processing, image classification,
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Monsivais-Huertero, A.,
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1809
Soil, Backscatter, Vegetation mapping, L-band, Scattering,
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Li, Z.[Zhenhai],
Yang, X.D.[Xiao-Dong],
Quantitative Identification of Maize Lodging-Causing Feature Factors
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Garré, S.[Sarah],
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How Far Can Consumer-Grade UAV RGB Imagery Describe Crop Production?
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Mananze, S.[Sosdito],
Pôças, I.[Isabel],
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Retrieval of Maize Leaf Area Index Using Hyperspectral and
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RS(10), No. 12, 2018, pp. xx-yy.
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1901
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Ye, H.C.[Hui-Chun],
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Huang, S.Y.[Shan-Yu],
Wu, B.[Bin],
Dong, Y.Y.[Ying-Ying],
Cui, B.[Bei],
Remote Estimation of Nitrogen Vertical Distribution by Consideration
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RS(10), No. 12, 2018, pp. xx-yy.
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1901
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Wang, Y.J.[Yong-Jian],
Wen, W.L.[Wei-Liang],
Wu, S.[Sheng],
Wang, C.Y.[Chuan-Yu],
Yu, Z.[Zetao],
Guo, X.Y.[Xin-Yu],
Zhao, C.J.[Chun-Jiang],
Maize Plant Phenotyping: Comparing 3D Laser Scanning, Multi-View
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1901
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Jin, S.,
Su, Y.,
Wu, F.,
Pang, S.,
Gao, S.,
Hu, T.,
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Guo, Q.,
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual
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IEEE DOI
1903
agriculture, crops, feature extraction, image segmentation,
optical radar, vectors, individual levels,
skeleton
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Niu, Y.[Yaxiao],
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Efficient Identification of Corn Cultivation Area with Multitemporal
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1903
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Zhang, M.Z.[Ming-Zheng],
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Gilcher, M.[Mario],
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Baup, F.[Frédéric],
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See also Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat.
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Agriculture
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Sugar Cane Crop Analysis, Production, Detection, Health, Change .