Papers citing Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
Hyperspectral Sensing of Plant Diseases: Principle and Methods
Agronomy · 2022
Long Wan, Hui Li, Chengsong Li, Aichen Wang, Yuheng Yang, Pei Wang
Read original paper ↗ ·Potato Late Blight Severity and Epidemic Period Prediction Based on Vis/NIR Spectroscopy
Agriculture · 2022
Bingru Hou, Yaohua Hu, Peng Zhang, Lixia Hou
Read original paper ↗ ·GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery
Remote Sensing · 2022
Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat, Aly El Gamal, Gurmukh S. Johal
Read original paper ↗ ·An automatic fluorescence phenotyping platform to evaluate dynamic infection process of Tobacco mosaic virus-green fluorescent protein in tobacco leaves
Frontiers in Plant Science · 2022
Junli Ye, Song Jingyan, Yuan Gao, Lu Xu, Wenyue Pei, Feng Li, Hui Feng, Wanneng Yang
Read original paper ↗ ·Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease
Plants · 2022
Jorge Gustavo Ugarte Fajardo, María Gabriela Maridueña-Zavala, Juan Manuel Cevallos‐Cevallos, Daniel Ochoa Donoso
Read original paper ↗ ·Towards the Modeling and Prediction of the Yield of Oilseed Crops: A Multi-Machine Learning Approach
Agriculture · 2022
Mahdieh Parsaeian, Mohammad Rahimi, Abbas Rohani, Shaneka S. Lawson
Read original paper ↗ ·Perspective Chapter: Perspectives on Pathogenic Plant Virus Control with Essential Oils for Sustainability of Agriculture 4.0
IntechOpen eBooks · 2022
Thanat Na Phatthalung, Wipa Tangkananond
Read original paper ↗ ·Detection of Drug Abuse Using Rough Set and Neural Network-Based Elevated Mathematical Predictive Modelling
Neural Processing Letters · 2022
K. Selvi, M. Chandrasekaran
Read original paper ↗ ·Cotton aphid infestation monitoring using Sentinel-2 MSI imagery coupled with derivative of ratio spectroscopy and random forest algorithm
Frontiers in Plant Science · 2022
Hancong Fu, Hengqian Zhao, Rui Song, Yifeng Yang, Zihan Li, Shijia Zhang
Read original paper ↗ ·Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy
Plants · 2022
Renan Falcioni, Thaise Moriwaki, Mariana Sversut Gibin, Alessandra Vollmann, Mariana Carmona Pattaro, Marina Ellen Giacomelli, Francielle Sato, Marcos Rafael Nanni, Werner Camargos Antunes
Read original paper ↗ ·Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging
Scientific Reports · 2022
Yongxin Zhou, Jiaze Chen, Jinfang Ma, Xueqin Han, Bijuan Chen, Guilian Li, Zheng Xiong, Furong Huang
Read original paper ↗ ·Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features
Computers and Electronics in Agriculture · 2022
Gangshan Wu, Yinlong Fang, Qiyou Jiang, Ming Cui, Na Li, Yunmeng Ou, Zhihua Diao, Baohua Zhang
Read original paper ↗ ·Pest and Disease Management
Agriculture automation and control · 2023
Won Suk Lee, Javier Tardáguila
Read original paper ↗ ·Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances
Remote Sensing · 2023
Emmanuel Omia, Hyungjin Bae, Eunsung Park, Moon S. Kim, Insuck Baek, Isa Kabenge, Byoung–Kwan Cho
Read original paper ↗ ·Edge AI for Real-Time and Intelligent Agriculture
Advances in environmental engineering and green technologies book series · 2023
Jigna Bhupendra Prajapati, Akash Kumar, Jhilam Pramanik, Bhupendra Gopalbhai Prajapati, Kavita Saini
Read original paper ↗ ·Detecting Grapevine Virus Infections in Red and White Winegrape Canopies Using Proximal Hyperspectral Sensing
Sensors · 2023
Yeniu Mickey Wang, Bertram Ostendorf, Vinay Pagay
Read original paper ↗ ·Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods
Frontiers in Plant Science · 2023
Mingzheng Zhang, Tianen Chen, Xiaohe Gu, Dong Chen, Cong Wang, Wenbiao Wu, Qingzhen Zhu, Chunjiang Zhao
Read original paper ↗ ·Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Frontiers in Plant Science · 2023
Gustavo A. Mesías-Ruiz, María Pérez‐Ortiz, José Dorado, Ana Isabel de Castro, José Manuel Peña
Read original paper ↗ ·Application of image processing and transfer learning for the detection of rust disease
Scientific Reports · 2023
Fereshteh Shahoveisi, Hamed Taheri Gorji, Seyed Mojtaba Shahabi, Seyedali Hosseinirad, Samuel G. Markell, Fartash Vasefi
Read original paper ↗ ·Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning
Scientific Reports · 2023
Michał Tomaszewski, Jakub Nalepa, Ewa B. Moliszewska, Bogdan Ruszczak, Krzysztof Smykała
Read original paper ↗ ·Applications of Hyperspectral Imaging Technology Combined with Machine Learning in Quality Control of Traditional Chinese Medicine from the Perspective of Artificial Intelligence: A Review
Critical Reviews in Analytical Chemistry · 2023
Yixia Pan, Hongxu Zhang, Hongxu Zhang, Yuan Chen, Xingchu Gong, Jizhong Yan, Hui Zhang, Hui Zhang
Read original paper ↗ ·NLOST: Non-Line-of-Sight Imaging with Transformer
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2023
Yue Li, Jiayong Peng, Juntian Ye, Yueyi Zhang, Feihu Xu, Zhiwei Xiong
Read original paper ↗ ·Online small-object anti-fringe sorting of tobacco stem impurities based on hyperspectral superpixels
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2023
Zhenye Li, Chao Ni, Rui Wu, Tingting Zhu, Lei Cheng, Yangchun Yuan, Chao Zhou
Read original paper ↗ ·Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM
Remote Sensing · 2023
Nannan Zhang, Xiao Zhang, Peng Shang, Rui Ma, Xintao Yuan, Li Li, Tiecheng Bai
Read original paper ↗ ·Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy
Plants · 2023
Renan Falcioni, Gláucio Leboso Alemparte Abrantes dos Santos, Luís Guilherme Teixeira Crusiol, Werner Camargos Antunes, Marcelo Luiz Chicati, Roney Berti de Oliveira, José Alexandre Melo Demattê, Marcos Rafael Nanni
Read original paper ↗ ·Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023
Sivaganesh, H V Chaitra, Manohar Kumar C. V. S. S, Manoj Kaushik, Ramasandra Govind Sharathchandra, Rama Rao Nidamanuri
Read original paper ↗ ·Exploring the Potential of Proximal Remote Sensing in Plant Stress Phenotyping: A Comprehensive Review
International Journal of Environment and Climate Change · 2023
Teena Patel, Anita Babbar, Karishma Behera, Vijay Kumar Katara, Kumar Jai Anand, R. G. Vyshnavi, Surbhi Pachori, Bichewar Nagesh Dattatray
Read original paper ↗ ·Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review
Journal of Food Measurement & Characterization · 2023
Mitchell Rogers, Jacques Blanc-Talon, Martin Urschler, Patrice Jean Delmas
Read original paper ↗ ·Hyperspectral Channel-Modulated Static Birefringent Fourier Transform Imaging Spectropolarimeter with Zoomable Spectral Resolution
Photonics · 2023
Xiangzhe Zhang, Jingping Zhu, Liqing Huang, Yu Zhang, Huimin Wang, Haoxiang Li, Fengqi Guo, Jinxin Deng
Read original paper ↗ ·Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits
Applied Sciences · 2023
Reza Adhitama Putra Hernanda, Jung‐Hyun Lee, Hoonsoo Lee
Read original paper ↗ ·A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology
Remote Sensing · 2023
Chao Liu, Yifei Cao, Ejiao Wu, Risheng Yang, Huanliang Xu, Yushan Qiao
Read original paper ↗ ·Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques
Frontiers in Plant Science · 2023
Haitao Chen, Yu-Jing Han, Yongchang Liu, Dongyang Liu, Lianqiang Jiang, Kun Huang, Hongtao Wang, Leifeng Guo, Xinwei Wang, Jie Wang, Wenxin Xue
Read original paper ↗ ·Non-destructive prediction of isoflavone and starch by hyperspectral imaging and deep learning in Puerariae Thomsonii Radix
Frontiers in Plant Science · 2023
Huiqiang Hu, Tingting Wang, Yunpeng Wei, Zhenyu Xu, Shiyu Cao, Ling Fu, Huaxing Xu, Xiaobo Mao, Luqi Huang
Read original paper ↗ ·Apprentissage profond multimodal pour la détection des maladies des plantes à l'aide de la télédétection et de l'analyse des données climatiques
Venue not supplied by source · 2023
Maryam Ouhami
Read original paper ↗ ·Integration of Vis–NIR Spectroscopy and Machine Learning Techniques to Predict Eight Soil Parameters in Alpine Regions
Agronomy · 2023
Chuanli Jiang, Jianyun Zhao, Guorong Li
Read original paper ↗ ·Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning
EAI Endorsed Transactions on Pervasive Health and Technology · 2023
Atul Kumar Dixit, Rajat Verma
Read original paper ↗ ·Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis
Frontiers in Plant Science · 2023
Yuchen Li, Jianwen Guo, Honghua Qiu, Fengyi Chen, Junqi Zhang
Read original paper ↗ ·A Novel Feature Construction Method for Tobacco Chlorophyll Estimation Based on Integral of UAV-Borne Hyperspectral Reflectance Curve
IEEE Transactions on Geoscience and Remote Sensing · 2024
Mingzheng Zhang, Tianen Chen, Xiaohe Gu, Jiuquan Zhang, Yan Kuai, Shuwen Jiang, Dong Chen, Qingzhen Zhu, Chunjiang Zhao
Read original paper ↗ ·Disease and Pest Control Through Advance Technology
Advances in geographical and environmental sciences · 2024
Shalaka Rajesh Ahale, Gaurav Yashwant Rakhonde, Sheenam Bhateja, J. Kuppuraj, Soumya Mishra
Read original paper ↗ ·Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
Urban Agriculture & Regional Food Systems · 2024
Manju Bagga, Sonali Goyal
Read original paper ↗ ·Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming
Signals and communication technology · 2024
Meganathan Elumalai, Terrance Frederick Fernandez, Mahmoud Ragab
Read original paper ↗ ·Multi-Convolution Fusion Based Hyperspectral Non-Tobacco-Leaf Materials Detection Method
Journal of Image and Signal Processing · 2024
振军 黄
Read original paper ↗ ·Water pollution and contaminants
Elsevier eBooks · 2024
Fabiano A.N. Fernandes
Read original paper ↗ ·Oocyte and cumulus cell cooperativity and metabolic plasticity under the direction of oocyte paracrine factors
American Journal of Physiology-Endocrinology and Metabolism · 2024
Dulama Richani, Anne Poljak, Baily Wang, Saabah B. Mahbub, Joanna M. Biazik, Jared M. Campbell, Abbas Habibalahi, William A. Stocker, Maria B. Marinova, Brett Nixon, Sonia Bustamante, David Anthony Skerrett-Byrne, Craig A. Harrison, Ewa Magdalena Goldys, Robert Bruce Gilchrist
Read original paper ↗ ·Clarification of Water Stress in Apple Seedlings Using HSI Texture with Machine Learning Technique
European Scientific Journal ESJ · 2024
Yanying An, Ran Wang
Read original paper ↗ ·Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging
Journal of the Science of Food and Agriculture · 2024
Yuexiang Huang, Jianping Tian, Haili Yang, Xinjun Hu, Lipeng Han, Fei Xue, Kangling He, Yan Liang, Liangliang Xie, Dan Fei Huang, HengJing Zhang
Read original paper ↗ ·Use of HSI Coupled with Machine Learning for the Identification of Water Stress in Pear Seedling Leaves
Preprints.org · 2024
Andrea An, Ran Wang
Read original paper ↗ ·Essential spectral pixels-based improvement of UMAP classifying hyperspectral imaging data to identify minor compounds in food matrix
Talanta · 2024
Xiang-Dong Qing, Guiying Lu, Xiaohua Zhang, Xiaohua Zhang, Qingling Chen, Xiaohong Zhou, Wei He, Ling Xu, Jin Zhang
Read original paper ↗ ·Highlighting Water Stress in Apple Seedlings Using HSI Texture with Machine Learning Technique
European Scientific Journal ESJ · 2024
Yanying An, Ran Wang
Read original paper ↗ ·Untitled work
European Scientific Journal ESJ · 2024
Read original paper ↗ ·