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Phenotyping Conservation Agriculture Management Effects on Ground and
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Dhodda, P.R.[Pruthvidhar Reddy],
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Assefa, Y.[Yared],
Peralta, N.R.[Nahuel R.],
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Maresma, Á.[Ángel],
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IEEE DOI
1808
autonomous aerial vehicles, crops, feature extraction,
geophysical image processing, image classification,
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Soil, Backscatter, Vegetation mapping, L-band, Scattering,
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Quantitative Identification of Maize Lodging-Causing Feature Factors
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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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1901
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Ye, H.C.[Hui-Chun],
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Dong, Y.Y.[Ying-Ying],
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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],
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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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1903
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See also Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat.
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Hütt, C.,
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1610
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 .