647
Views
30
CrossRef citations to date
0
Altmetric
Regular Articles

Detecting the severity of maize streak virus infestations in maize crop using in situ hyperspectral data

, , &

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Articles from other publishers (29)

Yayra Afram, Godwin Amenorpe, Elvis Asare Bediako, Alfred A. Darkwa, Siphiwokuhle Funani Shandu, Maryke T. Labuschagne & Isaac Kodzo Amegbor. (2024) Induction of genetic variability of maize genotypes through radiation revealed mutants resistant to maize streak disease. Applied Radiation and Isotopes 207, pages 111279.
Crossref
Nur Adibah Mohidem, Suhami Jaafar & Nik Norasma Che’Ya. (2024) Integration of Unmanned Aerial Vehicle and Multispectral Sensor for Paddy Growth Monitoring Application: A Review. Pertanika Journal of Science and Technology 32:2, pages 521-550.
Crossref
Xiao Jia, Dameng Yin, Yali Bai, Xun Yu, Yang Song, Minghan Cheng, Shuaibing Liu, Yi Bai, Lin Meng, Yadong Liu, Qian Liu, Fei Nan, Chenwei Nie, Lei Shi, Ping Dong, Wei Guo & Xiuliang Jin. (2023) Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery. Drones 7:11, pages 650.
Crossref
Wei-Chih Liao, Arvind Mukundan, Cleorita Sadiaza, Yu-Ming Tsao, Chien-Wei Huang & Hsiang-Chen Wang. (2023) Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging. Biomedical Optics Express 14:8, pages 4383.
Crossref
Shweta Bondre & Dipti Patil. (2023) Crop disease identification segmentation algorithm based on Mask‐RCNN. Agronomy Journal.
Crossref
Mengxia Wang, Boya Fu, Jianbo Fan, Yi Wang, Liankuan Zhang & Chunlei Xia. (2023) Sweet potato leaf detection in a natural scene based on faster R-CNN with a visual attention mechanism and DIoU-NMS. Ecological Informatics 73, pages 101931.
Crossref
Eva Praprotnik, Andrej Vončina, Primož Žigon, Matej Knapič, Nik Susič, Saša Širca, Dominik Vodnik, David Lenarčič, Janez Lapajne, Uroš Žibrat & Jaka Razinger. (2023) Early Detection of Wireworm (Coleoptera: Elateridae) Infestation and Drought Stress in Maize Using Hyperspectral Imaging. Agronomy 13:1, pages 178.
Crossref
Tayyaba Samreen, Aimen Tahir, Sidra-Tul-Muntaha, Muhammad Zulqernain Nazir, Muhammad Ahmad & Sehrish Kanwal. (2022) Sensing Techniques in Precision Agriculture for Pest and Disease Management. Sensing Techniques in Precision Agriculture for Pest and Disease Management.
Muhammad Taqqi Abbas, Muhammad Shafiq, Hibba Arshad, Rajia Haroon, Hamza Maqsood & Muhammad Saleem Haider. 2022. Cereal Diseases: Nanobiotechnological Approaches for Diagnosis and Management. Cereal Diseases: Nanobiotechnological Approaches for Diagnosis and Management 83 96 .
Feifei Yang, Shengping Liu, Qiyuan Wang, Tao Liu & Shijuan Li. (2021) Assessing Waterlogging Stress Level of Winter Wheat from Hyperspectral Imagery Based on Harmonic Analysis. Remote Sensing 14:1, pages 122.
Crossref
Lili Luo, Qingrui Chang, Qi Wang & Yong Huang. (2021) Identification and Severity Monitoring of Maize Dwarf Mosaic Virus Infection Based on Hyperspectral Measurements. Remote Sensing 13:22, pages 4560.
Crossref
Siyuan Li, Jiannan Jiao & Chi Wang. (2021) Research on Polarized Multi-Spectral System and Fusion Algorithm for Remote Sensing of Vegetation Status at Night. Remote Sensing 13:17, pages 3510.
Crossref
Kyalo Richard, Elfatih M. Abdel-Rahman, Sevgan Subramanian, Johnson O. Nyasani, Michael Thiel, Hossein J. Jozani, Christian Borgemeister, Bester T. Mudereri & Tobias Landmann. (2021) Estimating maize lethal necrosis (MLN) severity in Kenya using multispectral high-resolution data. Applied Geomatics 13:3, pages 389-400.
Crossref
Onisimo Mutanga, Inos Dhau, Timothy Dube, Elhadi Adam & Kingsley K. Ayisi. (2021) Progress in detecting and mapping crop diseases, with particular reference to maize using remote sensing. CABI Reviews.
Crossref
Abdulla A. Omeer & Ratnadeep R. Deshmukh. (2021) Improving the classification of invasive plant species by using continuous wavelet analysis and feature reduction techniques. Ecological Informatics 61, pages 101181.
Crossref
Cecilia M. Onyango, Justine M. Nyaga, Johanna Wetterlind, Mats Söderström & Kristin Piikki. (2021) Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review. Sustainability 13:3, pages 1158.
Crossref
Zhuo Zang, Guangxing Wang, Hui Lin & Peng Luo. (2021) Developing a spectral angle based vegetation index for detecting the early dying process of Chinese fir trees. ISPRS Journal of Photogrammetry and Remote Sensing 171, pages 253-265.
Crossref
R. Manavalan. (2020) Automatic identification of diseases in grains crops through computational approaches: A review. Computers and Electronics in Agriculture 178, pages 105802.
Crossref
Nesreen M. Abd El-Ghany, Shadia E. Abd El-Aziz & Shahira S. Marei. (2020) A review: application of remote sensing as a promising strategy for insect pests and diseases management. Environmental Science and Pollution Research 27:27, pages 33503-33515.
Crossref
Yan Xu, Qingbo Hao, Lijuan Qiao & Shaoyong Wang. (2020) Study on classification of maize disease image based on fast k-nearest neighbor support. Study on classification of maize disease image based on fast k-nearest neighbor support.
Walter Chivasa, Onisimo Mutanga & Chandrashekhar Biradar. (2020) UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions. Remote Sensing 12:15, pages 2445.
Crossref
Emma Izquierdo-Verdiguier & Raúl Zurita-Milla. (2020) An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing. International Journal of Applied Earth Observation and Geoinformation 88, pages 102051.
Crossref
Olaotse L. Thabeng, Stefania Merlo & Elhadi Adam. (2020) From the Bottom Up: Assessing the Spectral Ability of Common Multispectral Sensors to Detect Surface Archaeological Deposits Using Field Spectrometry and Advanced Classifiers in the Shashi-Limpopo Confluence Area. African Archaeological Review 37:1, pages 25-49.
Crossref
Qingmao Zeng, Xinhui Ma, Baoping Cheng, Erxun Zhou & Wei Pang. (2020) GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning. IEEE Access 8, pages 172882-172891.
Crossref
Xiaoli Li, Kai Chen & Yong He. (2020) In situ and non-destructive detection of the lipid concentration of Scenedesmus obliquus using hyperspectral imaging technique. Algal Research 45, pages 101680.
Crossref
Mbulisi Sibanda, Onisimo Mutanga, Timothy Dube, John Odindi & Paramu L. Mafongoya. (2019) The Utility of the Upcoming HyspIRI’s Simulated Spectral Settings in Detecting Maize Gray Leafy Spot in Relation to Sentinel-2 MSI, VENµS, and Landsat 8 OLI Sensors. Agronomy 9:12, pages 846.
Crossref
Linsheng Huang, Wenjuan Ding, Wenjing Liu, Jinling Zhao, Wenjiang Huang, Chao Xu, Dongyan Zhang & Dong Liang. (2019) Identification of wheat powdery mildew using in-situ hyperspectral data and linear regression and support vector machines. Journal of Plant Pathology 101:4, pages 1035-1045.
Crossref
Roger A.C. Jones & Rayapati A. Naidu. (2019) Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives. Annual Review of Virology 6:1, pages 387-409.
Crossref
Kamlesh Golhani, Siva K. Balasundram, Ganesan Vadamalai & Biswajeet Pradhan. (2018) A review of neural networks in plant disease detection using hyperspectral data. Information Processing in Agriculture 5:3, pages 354-371.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.