Cargando…

Classification and localization of maize leaf spot disease based on weakly supervised learning

Precisely discerning disease types and vulnerable areas is crucial in implementing effective monitoring of crop production. This forms the basis for generating targeted plant protection recommendations and automatic, precise applications. In this study, we constructed a dataset comprising six types...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Shuai, Xing, Ziyao, Wang, Hengbin, Gao, Xiang, Dong, Xinrui, Yao, Yu, Zhang, Runda, Zhang, Xiaodong, Li, Shaoming, Zhao, Yuanyuan, Liu, Zhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201986/ https://www.ncbi.nlm.nih.gov/pubmed/37223797 http://dx.doi.org/10.3389/fpls.2023.1128399

Ejemplares similares

Maize-YOLO: A New High-Precision and Real-Time Method for Maize Pest Detection
por: Yang, Shuai, et al.
Publicado: (2023)

Cropformer: A new generalized deep learning classification approach for multi-scenario crop classification
por: Wang, Hengbin, et al.
Publicado: (2023)

A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data
por: Liu, Junyi, et al.
Publicado: (2023)

Self-supervised maize kernel classification and segmentation for embryo identification
por: Dong, David, et al.
Publicado: (2023)

Fine Mapping of a New Major QTL-qGLS8 for Gray Leaf Spot Resistance in Maize
por: Qiu, Hongbo, et al.
Publicado: (2021)

Weakly-supervised learning method for the recognition of potato leaf diseases
por: Chen, Junde, et al.
Publicado: (2022)

Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance
por: Liu, Shuang, et al.
Publicado: (2021)

Spraying exogenous hormones alleviate impact of weak-light on yield by improving leaf carbon and nitrogen metabolism in fresh waxy maize
por: Li, Guanghao, et al.
Publicado: (2023)

Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping, and Genomic Prediction in Tropical Maize Germplasm
por: Kibe, Maguta, et al.
Publicado: (2020)

A mobile-based system for maize plant leaf disease detection and classification using deep learning
por: Khan, Faiza, et al.
Publicado: (2023)

Species of Cercospora associated with grey leaf spot of maize
por: Crous, Pedro W., et al.
Publicado: (2006)

Curvularia lunata and Curvularia Leaf Spot of Maize in China
por: Wang, Shaoqing, et al.
Publicado: (2022)

Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process
por: Moghalles, Khaled, et al.
Publicado: (2022)

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
por: Otálora, Sebastian, et al.
Publicado: (2021)

A novel method for maize leaf disease classification using the RGB-D post-segmentation image data
por: Nan, Fei, et al.
Publicado: (2023)

Classification of Alzheimer’s Disease Based on Weakly Supervised Learning and Attention Mechanism
por: Wu, Xiaosheng, et al.
Publicado: (2022)

Characterization and mapping of a spotted leaf mutant in rice (Oryza sativa)
por: Xu, Xue, et al.
Publicado: (2014)

Application of Remote Sensing for Phenotyping Tar Spot Complex Resistance in Maize
por: Loladze, Alexander, et al.
Publicado: (2019)

Olive leaf spot caused by Venturia oleaginea: An updated review
por: Buonaurio, Roberto, et al.
Publicado: (2023)

Etiology and Symptoms of Maize Leaf Spot Caused by Bipolaris spp. in Sichuan, China
por: Sun, Xiaofang, et al.
Publicado: (2020)

The effects of photoperiod and temperature-related factors on maize leaf number and leaf positional distribution in the field
por: Xu, Honggen, et al.
Publicado: (2023)

Weakly-supervised learning for lung carcinoma classification using deep learning
por: Kanavati, Fahdi, et al.
Publicado: (2020)

Practical Weak Supervision
por: Tok, Wee, et al.
Publicado: (2021)

Genomic Prediction of Resistance to Tar Spot Complex of Maize in Multiple Populations Using Genotyping-by-Sequencing SNPs
por: Cao, Shiliang, et al.
Publicado: (2021)

Transcriptome Profiling of Buffalograss Challenged with the Leaf Spot Pathogen Curvularia inaequalis
por: Amaradasa, Bimal S., et al.
Publicado: (2016)

Transcriptomic Analysis Reveals Candidate Genes Responding Maize Gray Leaf Spot Caused by Cercospora zeina
por: He, Wenzhu, et al.
Publicado: (2021)

Genetic Dissection of Novel QTLs for Resistance to Leaf Spots and Tomato Spotted Wilt Virus in Peanut (Arachis hypogaea L.)
por: Pandey, Manish K., et al.
Publicado: (2017)

The Rice SPOTTED LEAF4 (SPL4) Encodes a Plant Spastin That Inhibits ROS Accumulation in Leaf Development and Functions in Leaf Senescence
por: Song, Giha, et al.
Publicado: (2019)

Photosynthetic Response of Soybean Leaf to Wide Light-Fluctuation in Maize-Soybean Intercropping System
por: Yao, Xingdong, et al.
Publicado: (2017)

Disease diagnostic method based on cascade backbone network for apple leaf disease classification
por: Sheng, Xing, et al.
Publicado: (2022)

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning
por: Laubscher, Emily, et al.
Publicado: (2023)

Rapid Maize Leaf and Immature Ear Responses to UV-B Radiation
por: Casati, Paula, et al.
Publicado: (2011)

Electrical signaling along the phloem and its physiological responses in the maize leaf
por: Fromm, Jörg, et al.
Publicado: (2013)

Gibberellin Enhances the Anisotropy of Cell Expansion in the Growth Zone of the Maize Leaf
por: Sprangers, Katrien, et al.
Publicado: (2020)

Deep Learning-Based Identification of Maize Leaf Diseases Is Improved by an Attention Mechanism: Self-Attention
por: Qian, Xiufeng, et al.
Publicado: (2022)

A clinical text classification paradigm using weak supervision and deep representation
por: Wang, Yanshan, et al.
Publicado: (2019)

Ontology-driven weak supervision for clinical entity classification in electronic health records
por: Fries, Jason A., et al.
Publicado: (2020)

Ontology-driven weak supervision for clinical entity classification in electronic health records
por: Fries, Jason A., et al.
Publicado: (2021)

Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition
por: Le, Trang, et al.
Publicado: (2022)

Weakly supervised learning for multi-organ adenocarcinoma classification in whole slide images
por: Tsuneki, Masayuki, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_9bc1fp67gka9ug8586hkr1i14d