Apple Trees, Plantations, Analysis, Diseases

Chapter Contents (Back)
Orchards. Apples. Fruit off the tree:
See also Fruit Detection, Fruit Inspection, Apples, Oranges.
See also Plant Disease Analysis, General Plant Diseasses.

Delalieux, S., Auwerkerken, A., Verstraeten, W., Somers, B., Valcke, R., Lhermitte, S., Keulemans, J., Coppin, P.,
Hyperspectral Reflectance and Fluorescence Imaging to Detect Scab Induced Stress in Apple Leaves,
RS(1), No. 4, December 2009, pp. 858-874.
DOI Link 1203

Bulanon, D.M.[Duke M.], Lonai, J.[John], Skovgard, H.[Heather], Fallahi, E.[Esmaeil],
Evaluation of Different Irrigation Methods for an Apple Orchard Using an Aerial Imaging System,
IJGI(5), No. 6, 2016, pp. 79.
DOI Link 1608

Dubey, S.R.[Shiv Ram], Jalal, A.S.[Anand Singh],
Apple disease classification using color, texture and shape features from images,
SIViP(10), No. 5, May 2016, pp. 819-826.
WWW Link. 1608

de la Fuente-Sáiz, D.[Daniel], Ortega-Farías, S.[Samuel], Fonseca, D.[David], Ortega-Salazar, S.[Samuel], Kilic, A.[Ayse], Allen, R.[Richard],
Calibration of METRIC Model to Estimate Energy Balance over a Drip-Irrigated Apple Orchard,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708

Ma, X.D.[Xiao-Dan], Feng, J.R.[Jia-Rui], Guan, H.[Haiou], Liu, G.[Gang],
Prediction of Chlorophyll Content in Different Light Areas of Apple Tree Canopies based on the Color Characteristics of 3D Reconstruction,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804

Hobart, M.[Marius], Pflanz, M.[Michael], Weltzien, C.[Cornelia], Schirrmann, M.[Michael],
Growth Height Determination of Tree Walls for Precise Monitoring in Apple Fruit Production Using UAV Photogrammetry,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Skoneczny, H.[Hubert], Kubiak, K.[Katarzyna], Spiralski, M.[Marcin], Kotlarz, J.[Jan],
Fire Blight Disease Detection for Apple Trees: Hyperspectral Analysis of Healthy, Infected and Dry Leaves,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
And: Erratum: RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008

Zhang, C.J.[Cheng-Jian], Yang, G.J.[Gui-Jun], Jiang, Y.Y.[You-Yi], Xu, B.[Bo], Li, X.[Xiao], Zhu, Y.O.[Ya-Ohui], Lei, L.[Lei], Chen, R.Q.[Ri-Qiang], Dong, Z.[Zhen], Yang, H.[Hao],
Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Ta, N.[Na], Chang, Q.R.[Qing-Rui], Zhang, Y.M.[You-Ming],
Estimation of Apple Tree Leaf Chlorophyll Content Based on Machine Learning Methods,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

ur Rehman, Z.[Zia], Khan, M.A.[Muhammad Attique], Ahmed, F.[Fawad], Damaševicius, R.[Robertas], Naqvi, S.R.[Syed Rameez], Nisar, W.[Wasif], Javed, K.[Kashif],
Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture,
IET-IPR(15), No. 10, 2021, pp. 2157-2168.
DOI Link 2108

de Petris, S.[Samuele], Sarvia, F.[Filippo], Gullino, M.[Michele], Tarantino, E.[Eufemia], Borgogno-Mondino, E.[Enrico],
Sentinel-1 Polarimetry to Map Apple Orchard Damage after a Storm,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Zhu, Y.[Yaohui], Yang, G.J.[Gui-Jun], Yang, H.[Hao], Zhao, F.[Fa], Han, S.Y.[Shao-Yu], Chen, R.Q.[Ri-Qiang], Zhang, C.J.[Cheng-Jian], Yang, X.D.[Xiao-Dong], Liu, M.[Miao], Cheng, J.P.[Jin-Peng], Zhao, C.J.[Chun-Jiang],
Estimation of Apple Flowering Frost Loss for Fruit Yield Based on Gridded Meteorological and Remote Sensing Data in Luochuan, Shaanxi Province, China,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Bai, X.Y.[Xue-Yuan], Li, Z.H.[Zhen-Hai], Li, W.[Wei], Zhao, Y.[Yu], Li, M.X.[Mei-Xuan], Chen, H.Y.[Hong-Yan], Wei, S.C.[Shao-Chong], Jiang, Y.M.[Yuan-Mao], Yang, G.J.[Gui-Jun], Zhu, X.[Xicun],
Comparison of Machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Liu, Z.J.[Zhi-Jie], Guo, P.[Pengju], Liu, H.[Heng], Fan, P.[Pan], Zeng, P.Z.[Peng-Zong], Liu, X.Y.[Xiang-Yang], Feng, C.[Ce], Wang, W.[Wang], Yang, F.[Fuzeng],
Gradient Boosting Estimation of the Leaf Area Index of Apple Orchards in UAV Remote Sensing,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Tong, S.Y.[Si-Yuan], Yue, Y.[Yang], Li, W.B.[Wen-Bin], Wang, Y.X.[Ya-Xiong], Kang, F.[Feng], Feng, C.[Chao],
Branch Identification and Junction Points Location for Apple Trees Based on Deep Learning,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209

Kurihara, J.[Junichi], Yamana, T.[Toshikazu],
Detection of Apple Valsa Canker Based on Hyperspectral Imaging,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204

Singh, S.[Swati], Gupta, S.[Sheifali], Tanta, A.[Ankush], Gupta, R.[Rupesh],
Extraction of Multiple Diseases in Apple Leaf Using Machine Learning,
IJIG(22), No. 3 2022, pp. 2140009.
DOI Link 2206

Liu, B.Y.[Bo-Yuan], Fan, K.J.[Ke-Jun], Su, W.H.[Wen-Hao], Peng, Y.K.[Yan-Kun],
Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206

Gao, X.[Xiang], Han, W.C.[Wen-Chao], Hu, Q.Y.[Qi-Yuan], Qin, Y.T.[Yu-Ting], Wang, S.[Sijia], Lun, F.[Fei], Sun, J.[Jing], Wu, J.C.[Jie-Chen], Xiao, X.[Xiao], Lan, Y.[Yang], Li, H.[Hong],
Planting Age Identification and Yield Prediction of Apple Orchard Using Time-Series Spectral Endmember and Logistic Growth Model,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302

Zhang, C.L.[Cheng-Long], Valente, J.[João], Wang, W.[Wensheng], Guo, L.[Leifeng], Tubau-Comas, A.[Aina], van Dalfsen, P.[Pieter], Rijk, B.[Bert], Kooistra, L.[Lammert],
Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard,
PandRS(197), 2023, pp. 256-273.
Elsevier DOI 2303
UAV images, Flower cluster, Floridity, Flower occlusion, Computer vision BibRef

Zhang, Z.[Zijuan], Jiang, D.[Danyao], Chang, Q.[Qingrui], Zheng, Z.[Zhikang], Fu, X.T.[Xin-Tong], Li, K.[Kai], Mo, H.Y.[Hai-Yang],
Estimation of Anthocyanins in Leaves of Trees with Apple Mosaic Disease Based on Hyperspectral Data,
RS(15), No. 7, 2023, pp. 1732.
DOI Link 2304

Liu, Y.[Yanfu], Zhang, Y.[Yu], Jiang, D.[Danyao], Zhang, Z.J.[Zi-Juan], Chang, Q.R.[Qing-Rui],
Quantitative Assessment of Apple Mosaic Disease Severity Based on Hyperspectral Images and Chlorophyll Content,
RS(15), No. 8, 2023, pp. 2202.
DOI Link 2305

Jiang, D.[Danyao], Chang, Q.[Qingrui], Zhang, Z.[Zijuan], Liu, Y.[Yanfu], Zhang, Y.[Yu], Zheng, Z.[Zhikang],
Monitoring the Degree of Mosaic Disease in Apple Leaves Using Hyperspectral Images,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306

Jemaa, H.[Hela], Bouachir, W.[Wassim], Leblon, B.[Brigitte], LaRocque, A.[Armand], Haddadi, A.[Ata], Bouguila, N.[Nizar],
UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment,
RS(15), No. 14, 2023, pp. 3558.
DOI Link 2307

Yu, H., Son, C.,
Leaf Spot Attention Network for Apple Leaf Disease Identification,
Diseases, Feature extraction, Machine learning, Image color analysis, Image segmentation, Optical sensors BibRef

Tubau Comas, A., Valente, J., Kooistra, L.,
Automatic Apple Tree Blossom Estimation From UAV Rgb Imagery,
DOI Link 1912

Akbar, S.A., Chattopadhyay, S., Elfiky, N.M., Kak, A.,
A Novel Benchmark RGBD Dataset for Dormant Apple Trees and Its Application to Automatic Pruning,

Chattopadhyay, S.[Somrita], Akbar, S.A.[Shayan A.], Elfiky, N.M.[Noha M.], Medeiros, H.[Henry], Kak, A.C.[Avinash C.],
Measuring and modeling apple trees using time-of-flight data for automation of dormant pruning applications,
Distortion BibRef

Elfiky, N.M.[Noha M.], Akbar, S.A.[Shayan A.], Sun, J.X.[Jian-Xin], Park, J.[Johnny], Kak, A.[Avinash],
Automation of dormant pruning in specialty crop production: An adaptive framework for automatic reconstruction and modeling of apple trees,
Adaptation models BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Rubber Trees, Plantations, Analysis .

Last update:Aug 31, 2023 at 09:37:21