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Usability, Strength and Practicality of The Upcoming Hyspiri In
Detecting Maize Gray Leafy Spot in Relation to Sentinel-2 Msi, Venµs
And Landsat 8 Oli Spectral Band-settings,
SMPR19(1015-1022).
DOI Link
1912
BibRef
Montes Condori, R.H.,
Romualdo, L.M.,
Martinez Bruno, O.,
de Cerqueira Luz, P.H.,
Comparison Between Traditional Texture Methods and Deep Learning
Descriptors for Detection of Nitrogen Deficiency in Maize Crops,
WVC17(7-12)
IEEE DOI
1804
convolution, crops, feedforward neural nets, image texture,
learning (artificial intelligence), nitrogen, CNN model,
transfer learning
BibRef
Campos, Y.[Yerania],
Rodner, E.[Erik],
Denzler, J.[Joachim],
Sossa, H.[Humberto],
Pajares, G.[Gonzalo],
Vegetation Segmentation in Cornfield Images Using Bag of Words,
ACIVS16(193-204).
Springer DOI
1611
BibRef
Dahms, T.[Thorsten],
Seissiger, S.[Sylvia],
Conrad, C.[Christopher],
Borg, E.[Erik],
Modelling Biophysical Parameters of Maize Using Landsat 8 Time Series,
ISPRS16(B2: 171-175).
DOI Link
1610
See also Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat.
BibRef
Hütt, C.,
Tilly, N.,
Schiedung, H.,
Bareth, G.,
Potential Of Multitemporal Tandem-x Derived Crop Surface Models For
Maize Growth Monitoring,
ISPRS16(B7: 803-808).
DOI Link
1610
BibRef
Lu, H.,
Cao, Z.,
Xiao, Y.,
Fang, Z.,
Zhu, Y.,
Fine-grained maize cultivar identification using filter-specific
convolutional activations,
ICIP16(3718-3722)
IEEE DOI
1610
Agriculture
BibRef
Hütt, C.,
Schiedung, H.,
Tilly, N.,
Bareth, G.,
Fusion of high resolution remote sensing images and terrestrial laser
scanning for improved biomass estimation of maize,
Thematic14(101-108).
DOI Link
1404
BibRef
Tilly, N.,
Hoffmeister, D.,
Schiedung, H.,
Hütt, C.,
Brands, J.,
Bareth, G.,
Terrestrial laser scanning for plant height measurement and biomass
estimation of maize,
Thematic14(181-187).
DOI Link
1404
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Sugar Cane Crop Analysis, Production, Detection, Health, Change .