23.4.12.7.5 Coffee Trees, Trees as Crops, Tea Trees

Chapter Contents (Back)
Orchards. Coffee. Tea.

Bernardes, T., Moreira, M., Adami, M., Giarolla, A., Rudorff, B.,
Monitoring Biennial Bearing Effect on Coffee Yield Using MODIS Remote Sensing Imagery,
RS(4), No. 9, September 2012, pp. 2492-2509.
DOI Link 1210
BibRef

Kelley, L.C.[Lisa C.], Pitcher, L.[Lincoln], Bacon, C.[Chris],
Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Chemura, A.[Abel], Mutanga, O.[Onisimo], Odindi, J.[John], Kutywayo, D.[Dumisani],
Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data,
PandRS(138), 2018, pp. 1-11.
Elsevier DOI 1804
Nutrient management, Random forest, Canopy nitrogen, Precision agriculture BibRef

Tang, Z.X.[Zi-Xia], Li, M.M.[Meng-Meng], Wang, X.Q.[Xiao-Qin],
Mapping Tea Plantations from VHR Images Using OBIA and Convolutional Neural Networks,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Das, A.C.[Animesh Chandra], Noguchi, R.[Ryozo], Ahamed, T.[Tofael],
Integrating an Expert System, GIS, and Satellite Remote Sensing to Evaluate Land Suitability for Sustainable Tea Production in Bangladesh,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Hunt, D.A.[David A.], Tabor, K.[Karyn], Hewson, J.H.[Jennifer H.], Wood, M.A.[Margot A.], Reymondin, L.[Louis], Koenig, K.[Kellee], Schmitt-Harsh, M.[Mikaela], Follett, F.[Forrest],
Review of Remote Sensing Methods to Map Coffee Production Systems,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

López, R.S.[Rolando Salas], Fernández, D.G.[Darwin Gómez], López, J.O.S.[Jhonsy O. Silva], Briceño, N.B.R.[Nilton B. Rojas], Oliva, M.[Manuel], Murga, R.E.T.[Renzo E. Terrones], Trigoso, D.I.[Daniel Iliquín], Castillo, E.B.[Elgar Barboza], Gurbillón, M.Á.B.[Miguel Ángel Barrena],
Land Suitability for Coffee (Coffea arabica) Growing in Amazonas, Peru: Integrated Use of AHP, GIS and RS,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Tridawati, A.[Anggun], Wikantika, K.[Ketut], Susantoro, T.M.[Tri Muji], Harto, A.B.[Agung Budi], Darmawan, S.[Soni], Yayusman, L.F.[Lissa Fajri], Ghazali, M.F.[Mochamad Firman],
Mapping the Distribution of Coffee Plantations from Multi-Resolution, Multi-Temporal, and Multi-Sensor Data Using a Random Forest Algorithm,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Rodríguez, J.P.[Jhonn Pablo], Corrales, D.C.[David Camilo], Aubertot, J.N.[Jean-Noël], Corrales, J.C.[Juan Carlos],
A computer vision system for automatic cherry beans detection on coffee trees,
PRL(136), 2020, pp. 142-153.
Elsevier DOI 2008
Coffee production, Caturra, Bourbon, Castillo, Noise reduction, Segmentation, Morphological transformations BibRef

Chen, S.Y.[Shih-Yu], Chang, C.Y.[Chuan-Yu], Ou, C.S.[Cheng-Syue], Lien, C.T.[Chou-Tien],
Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Phan, P.[Phamchimai], Chen, N.[Nengcheng], Xu, L.[Lei], Chen, Z.[Zeqiang],
Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Das, A.C.[Animesh Chandra], Noguchi, R.[Ryozo], Ahamed, T.[Tofael],
An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Wang, P.J.[Pei-Juan], Ma, Y.P.[Yu-Ping], Tang, J.X.[Jun-Xian], Wu, D.R.[Ding-Rong], Chen, H.[Hui], Jin, Z.F.[Zhi-Feng], Huo, Z.G.[Zhi-Guo],
Spring Frost Damage to Tea Plants Can Be Identified with Daily Minimum Air Temperatures Estimated by MODIS Land Surface Temperature Products,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Martins, R.N.[Rodrigo Nogueira], de Carvalho Pinto, F.D.[Francisco De_Assis], de Queiroz Marçal, D.[Daniel], Valente, D.S.M.[Domingos Sárvio Magalhães], Rosas, J.T.F.[Jorge Tadeu Fim],
A Novel Vegetation Index for Coffee Ripeness Monitoring Using Aerial Imagery,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Marin, D.B.[Diego Bedin], Araújo e Silva Ferraz, G.[Gabriel], Guimarães, P.H.S.[Paulo Henrique Sales], Schwerz, F.[Felipe], Santana, L.S.[Lucas Santos], Barbosa, B.D.S.[Brenon Dienevam Souza], Barata, R.A.P.[Rafael Alexandre Pena], de Oliveira Faria, R.[Rafael], Dias, J.E.L.[Jessica Ellen Lima], Conti, L.[Leonardo], Rossi, G.[Giuseppe],
Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Souza Barbosa, B.D.[Brenon Diennevam], Araújo e Silva Ferraz, G.[Gabriel], Mendes dos Santos, L.[Luana], Santana, L.S.[Lucas Santos], Marin, D.B.[Diego Bedin], Rossi, G.[Giuseppe], Conti, L.[Leonardo],
Application of RGB Images Obtained by UAV in Coffee Farming,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Wang, P.J.[Pei-Juan], Tang, J.X.[Jun-Xian], Ma, Y.P.[Yu-Ping], Wu, D.R.[Ding-Rong], Yang, J.Y.[Jian-Ying], Jin, Z.F.[Zhi-Feng], Huo, Z.G.[Zhi-Guo],
Mapping Threats of Spring Frost Damage to Tea Plants Using Satellite-Based Minimum Temperature Estimation in China,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Jui, S.J.J.[S Janifer Jabin], Ahmed, A.A.M.[A. A. Masrur], Bose, A.[Aditi], Raj, N.[Nawin], Sharma, E.[Ekta], Soar, J.[Jeffrey], Chowdhury, M.W.I.[Md Wasique Islam],
Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Tang, J.[Jie], Jiang, F.[Fugen], Long, Y.[Yi], Fu, L.[Liyong], Sun, H.[Hua],
Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Santana, L.S.[Lucas Santos], Araújo e Silva Ferraz, G.[Gabriel], Marin, D.B.[Diego Bedin], de Oliveira Faria, R.[Rafael], Santos Santana, M.[Mozarte], Rossi, G.[Giuseppe], Palchetti, E.[Enrico],
Digital Terrain Modelling by Remotely Piloted Aircraft: Optimization and Geometric Uncertainties in Precision Coffee Growing Projects,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhang, Q.F.[Qing-Fan], Hu, M.S.[Mao-Sheng], Zhou, Y.S.[Yan-Song], Wan, B.[Bo], Jiang, L.[Le], Zhang, Q.F.[Quan-Fa], Wang, D.[Dezhi],
Effects of UAV-LiDAR and Photogrammetric Point Density on Tea Plucking Area Identification,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Chen, P.P.[Pan-Pan], Li, C.[Cunjun], Chen, S.L.[Shi-Lin], Li, Z.[Ziyang], Zhang, H.[Hanyue], Zhao, C.J.[Chun-Jiang],
Tea Cultivation Suitability Evaluation and Driving Force Analysis Based on AHP and Geodetector Results: A Case Study of Yingde in Guangdong, China,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef


Oliveira, A.J.[Alexandre J.], Assis, G.A.[Gleice A.], Guizilini, V.[Vitor], Faria, E.R.[Elaine R.], Souza, J.R.[Jefferson R.],
Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images,
CVS19(274-283).
Springer DOI 1912
BibRef

Alves, H.M.R., Vieira, T.G.C., Volpato, M.M.L., Lacerda, M.P.C., Borém, F.M.,
Geotechnologies For The Characterization Of Specialty Coffee Environments Of Mantiqueira De Minas In Brazil,
ISPRS16(B8: 797-799).
DOI Link 1610
BibRef

Alves, H.M.R., Volpato, M.M.L., Vieira, T.G.C., Maciel, D.A., Gonçalves, T.G., Dantas, M.F.,
Characterization And Spectral Monitoring Of Coffee Lands In Brazil,
ISPRS16(B8: 801-803).
DOI Link 1610
BibRef

Nogueira, K.[Keiller], Schwartz, W.R.[William Robson], dos Santos, J.A.[Jefersson A.],
Coffee Crop Recognition Using Multi-scale Convolutional Neural Networks,
CIARP15(67-74).
Springer DOI 1511
BibRef

Bian, M., Skidmore, A.K., Schlerf, M., Liu, Y., Wang, T.,
Estimating Biochemical Parameters Of Tea (camellia Sinensis (l.)) Using Hyperspectral Techniques,
ISPRS12(XXXIX-B8:237-241).
DOI Link 1209
BibRef

Alves, H.M.R., Vieira, T.G.C., Souza, V.C.O., Bertoldo, M.A., Lacerda, M.P.C., Andrade, H., Bernardes, N.,
Monitoring the Relationships between Environment and Coffee Production in Agroecosytems of the State of Minas Gerais in Brazil,
IfromI06(xx-yy).
PDF File. 0607
BibRef

Vieira, T.G.C., Alves, H.M.R., Souza, V.C.O., Bernardes, T., Lacerda, M.P.C.,
Assessing and Mapping Changes, in Space and Time, of Coffee Lands of the State of Minas Gerais in Brazil,
IfromI06(xx-yy).
PDF File. 0607
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
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