24.4.13.7 Orchards, Plantations, Trees as Crops

Chapter Contents (Back)
Orchards.
See also Rubber Trees, Plantations, Analysis.
See also Eucalypt Trees, Eucalyptus.
See also Olive Trees, Orchards, Diseases.
See also Citrus Trees, Orchards, Diseases.
See also Palm Trees, Oil Palms, Trees as Crops.
See also Coffee Trees, Trees as Crops, Tea Trees.

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Mapping Mature Post-Agricultural Forests in the Polish Eastern Carpathians with Archival Remote Sensing Data,
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DOI Link 2105
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Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery,
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Aeberli, A.[Aaron], Johansen, K.[Kasper], Robson, A.[Andrew], Lamb, D.W.[David W.], Phinn, S.[Stuart],
Detection of Banana Plants Using Multi-Temporal Multispectral UAV Imagery,
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Modeling Diameter Distributions with Six Probability Density Functions in Pinus halepensis Mill. Plantations Using Low-Density Airborne Laser Scanning Data in Aragón (Northeast Spain),
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DOI Link 2106
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Combinations of Feature Selection and Machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery,
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An Integration of Linear Model and 'Random Forest' Techniques for Prediction of Norway Spruce Vitality: A Case Study of the Hemiboreal Forest, Latvia,
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Elsevier DOI 2210
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Comparing Different Light Use Efficiency Models to Estimate the Gross Primary Productivity of a Cork Oak Plantation in Northern China,
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Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models,
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Remote Sensing Imaging as a Tool to Support Mulberry Cultivation for Silk Production,
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A Novel Technique Using Planar Area and Ground Shadows Calculated from UAV RGB Imagery to Estimate Pistachio Tree (Pistacia vera L.) Canopy Volume,
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Rahman, M.M.[Muhammad Moshiur], Robson, A.[Andrew], Brinkhoff, J.[James],
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Xue, X.J.[Xiao-Jing], Wei, C.Y.[Cai-Yong], Yang, Q.[Qin], Tian, L.[Lingwen], Zhu, L.H.[Li-Hong], Meng, Y.Y.[Yuan-Yuan], Liu, X.N.[Xiang-Nan],
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Teng, P.[Poching], Zhang, Y.[Yu], Yamane, T.[Takayoshi], Kogoshi, M.[Masayuki], Yoshida, T.[Takeshi], Ota, T.[Tomohiko], Nakagawa, J.[Junichi],
Accuracy Evaluation and Branch Detection Method of 3D Modeling Using Backpack 3D Lidar SLAM and UAV-SfM for Peach Trees during the Pruning Period in Winter,
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Vinci, A.[Alessandra], Brigante, R.[Raffaella], Traini, C.[Chiara], Farinelli, D.[Daniela],
Geometrical Characterization of Hazelnut Trees in an Intensive Orchard by an Unmanned Aerial Vehicle (UAV) for Precision Agriculture Applications,
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Zhu, S.[Shidan], Cui, N.[Ningbo], Zhou, J.[Ji], Xue, J.Y.[Jing-Yuan], Wang, Z.H.[Zhi-Hui], Wu, Z.[Zongjun], Wang, M.J.[Ming-Jun], Deng, Q.L.[Qing-Ling],
Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China,
RS(15), No. 3, 2023, pp. xx-yy.
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Katz, L.[Livia], Ben-Gal, A.[Alon], Litaor, M.I.[M. Iggy], Naor, A.[Amos], Peeters, A.[Aviva], Goldshtein, E.[Eitan], Lidor, G.[Guy], Keisar, O.[Ohaliav], Marzuk, S.[Stav], Alchanatis, V.[Victor], Cohen, Y.[Yafit],
How Sensitive Is Thermal Image-Based Orchard Water Status Estimation to Canopy Extraction Quality?,
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DOI Link 2303
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Raman, M.G.[Mugilan Govindasamy], Marzougui, A.[Afef], Teh, S.L.[Soon Li], York, Z.B.[Zara B.], Evans, K.M.[Kate M.], Sankaran, S.[Sindhuja],
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Lara-Gómez, M.Á.[Miguel Ángel], Navarro-Cerrillo, R.M.[Rafael M.], Rumbao, I.C.[Inmaculada Clavero], Palacios-Rodríguez, G.[Guillermo],
Comparison of Errors Produced by ABA and ITC Methods for the Estimation of Forest Inventory Attributes at Stand and Tree Level in Pinus radiata Plantations in Chile,
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Peng, Y.[Yan], He, G.J.[Guo-Jin], Wang, G.Z.[Gui-Zhou], Zhang, Z.M.[Zhao-Ming],
Large-Scale Populus euphratica Distribution Mapping Using Time-Series Sentinel-1/2 Data in Google Earth Engine,
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Wu, C.X.[Chun-Xiao], Jia, W.[Wei], Yang, J.Y.[Jian-Yu], Zhang, T.T.[Ting-Ting], Dai, A.[Anjin], Zhou, H.[Han],
Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Yin, Y.[Yihan], Liu, G.[Gang], Li, S.[Shanle], Zheng, Z.Y.[Zhi-Yuan], Si, Y.S.[Yong-Sheng], Wang, Y.[Yang],
A Method for Predicting Canopy Light Distribution in Cherry Trees Based on Fused Point Cloud Data,
RS(15), No. 10, 2023, pp. xx-yy.
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Hapuarachchi, N.S.[Nimanie S.], Trueman, S.J.[Stephen J.], Kämper, W.[Wiebke], Farrar, M.B.[Michael B.], Wallace, H.M.[Helen M.], Nichols, J.[Joel], Bai, S.H.[Shahla Hosseini],
Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces for Rapid Assessment of Foliar Nutrient Concentrations in Hass Avocado,
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DOI Link 2307
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Torgbor, B.A.[Benjamin Adjah], Rahman, M.M.[Muhammad Moshiur], Brinkhoff, J.[James], Sinha, P.[Priyakant], Robson, A.[Andrew],
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach,
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Sun, Z.B.[Zhi-Bin], Jiang, X.Y.[Xin-Yue], Tang, X.H.[Xue-Hai], Yan, L.P.[Li-Peng], Kuang, F.[Fan], Li, X.Z.[Xiao-Zhou], Dou, M.[Min], Wang, B.[Bin], Gao, X.[Xiang],
Identifying Core Wavelengths of Oil Tree's Hyperspectral Data by Taylor Expansion,
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Amantai, N.[Nigenare], Meng, Y.Y.[Yuan-Yuan], Song, S.S.[Shan-Shan], Li, Z.[Zihui], Hou, B.[Bowen], Tang, Z.Y.[Zhi-Yao],
Spatial-Temporal Patterns of Interannual Variability in Planted Forests: NPP Time-Series Analysis on the Loess Plateau,
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Singh, K.[Kanika], Fuentes, I.[Ignacio], Al-Shammari, D.[Dhahi], Fidelis, C.[Chris], Butubu, J.[James], Yinil, D.[David], Sharififar, A.[Amin], Minasny, B.[Budiman], Guest, D.I.[David I], Field, D.J.[Damien J],
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Wu, X.[Xuehui], Luo, Z.W.[Zhi-Wei], Xu, H.[Huanliang],
Recognition of pear leaf disease under complex background based on DBPNet and modified mobilenetV2,
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agricultural engineering, agricultural products, image recognition, image segmentation BibRef

Xiong, Z.J.[Zhang-Jun], Wang, L.[Lele], Zhao, Y.J.[Ying-Jie], Lan, Y.[Yubin],
Precision Detection of Dense Litchi Fruit in UAV Images Based on Improved YOLOv5 Model,
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Sun, Y.F.[Yi-Fei], Hao, Z.B.[Zhen-Bang], Guo, Z.[Zhanbao], Liu, Z.[Zhenhu], Huang, J.X.[Jia-Xing],
Detection and Mapping of Chestnut Using Deep Learning from High-Resolution UAV-Based RGB Imagery,
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Li, Y.J.[Ya-Jing], Yan, E.[Enping], Jiang, J.W.[Jia-Wei], Cao, D.[Dan], Mo, D.[Dengkui],
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Satellite remote sensing model for estimating canopy transpiration in cypress plantation using in situ sap flow observations and forest inventory,
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Elsevier DOI 2312
Transpiration, Forest inventory, Remote sensing, Sap flow, Decoupling index BibRef

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Critical Assessment of Cocoa Classification with Limited Reference Data: A Study in Cote d'Ivoire and Ghana Using Sentinel-2 and Random Forest Model,
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Chakhar, A.[Amal], Hernández-López, D.[David], Ballesteros, R.[Rocío], Moreno, M.A.[Miguel A.],
Irrigation Detection Using Sentinel-1 and Sentinel-2 Time Series on Fruit Tree Orchards,
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Tawalbeh, Z.M.[Zada M.], Bawazir, A.S.[A. Salim], Fernald, A.[Alexander], Sabie, R.[Robert], Heerema, R.J.[Richard J.],
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Vegetation, Computational modeling, Robots, Solid modeling, Visualization, Heuristic algorithms BibRef

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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Olive Trees, Orchards, Diseases .


Last update:Jul 13, 2024 at 15:27:21