المؤلفون: HOU Yiting, RAO Yuan, SONG He, NIE Zhenjun, WANG Tan, HE Haoxu

المصدر: 智慧农业, Vol 6, Iss 4, Pp 128-137 (2024)

مصطلحات موضوعية: wheat leaves, tip detection, leaf counting, attention mechanism, yolov8, deep learning, Agriculture (General), S1-972, Technology (General), T1-995

وصف الملف: electronic resource

Relation: https://www.smartag.net.cn/CN/10.12133/j.smartag.SA202403019; https://doaj.org/toc/2096-8094

URL الوصول: https://doaj.org/article/0a5bc0ada2b840ed8c1e9adc7a9d0d29

المؤلفون: Shaotong Ning, Feng Tan, Xue Chen, Xiaohui Li, Hang Shi, Jinkai Qiu

المصدر: Sensors, Vol 24, Iss 16, p 5279 (2024)

مصطلحات موضوعية: maize, leaf counting, YOLOv8, lightweight, SatrNet, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/16/5279; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/d58015697b6b4618bf72461d9e3fefaa

المؤلفون: Noguchi, Kenta, Zamfirescu, Carol

المصدر: DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE ; ISSN: 1462-7264 ; ISSN: 1365-8050

مصطلحات موضوعية: spanning tree, leaf counting, triangulation, polynomial time, GRAPHS, DOMINATION

وصف الملف: application/pdf

Relation: https://biblio.ugent.be/publication/01JH8D07CPH7TDAD9FCKEZ4MZZ; https://biblio.ugent.be/publication/01JH8D07CPH7TDAD9FCKEZ4MZZ/file/01JH8D2WYTBN16RCZANYT4XMNR

الاتاحة: https://biblio.ugent.be/publication/01JH8D07CPH7TDAD9FCKEZ4MZZ
http://hdl.handle.net/1854/LU-01JH8D07CPH7TDAD9FCKEZ4MZZ
https://biblio.ugent.be/publication/01JH8D07CPH7TDAD9FCKEZ4MZZ/file/01JH8D2WYTBN16RCZANYT4XMNR

المؤلفون: Xingmei Xu, Lu Wang, Xuewen Liang, Lei Zhou, Youjia Chen, Puyu Feng, Helong Yu, Yuntao Ma

المصدر: Sustainability; Volume 15; Issue 12; Pages: 9583

مصطلحات موضوعية: maize, leaf counting, semi-supervised learning, UAV, SOLOv2, YOLOv5x

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Sustainable Agriculture; https://dx.doi.org/10.3390/su15129583

الاتاحة: https://doi.org/10.3390/su15129583

المؤلفون: Xinyan Xie, Yufeng Ge, Harkamal Walia, Jinliang Yang, Hongfeng Yu

المصدر: Sensors; Volume 23; Issue 4; Pages: 1890

مصطلحات موضوعية: plant phenotyping, leaf-counting, convolutional neural network, regression, Grad-CAM

وصف الملف: application/pdf

Relation: Smart Agriculture; https://dx.doi.org/10.3390/s23041890

الاتاحة: https://doi.org/10.3390/s23041890

المؤلفون: Louis Lac, Barna Keresztes, Marine Louargant, Marc Donias, Jean-Pierre Da Costa

المصدر: Data in Brief, Vol 42, Iss , Pp 108035- (2022)

مصطلحات موضوعية: Vegetable crops, Crop structures, Precision hoeing, Phenotyping, Leaf counting, Precision agriculture, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352340922002463; https://doaj.org/toc/2352-3409

URL الوصول: https://doaj.org/article/9bdd40350b7049ceaa4315c5c79b152c

المؤلفون: Xijian Fan, Rui Zhou, Tardi Tjahjadi, Sruti Das Choudhury, Qiaolin Ye

المصدر: Frontiers in Plant Science, Vol 13 (2022)

مصطلحات موضوعية: plant phenotyping, segmentation, deep CNN architecture, leaf counting, multiple traits, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.844522/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/117afc84183746b7a824cd7e1ae4207f

المؤلفون: Mukesh Kumar Vishal, Rohit Saluja, Devarshi Aggrawal, Biplab Banerjee, Dhandapani Raju, Sudhir Kumar, Viswanathan Chinnusamy, Rabi Narayan Sahoo, Jagarlapudi Adinarayana

المصدر: Plants; Volume 11; Issue 19; Pages: 2663

مصطلحات موضوعية: number of leaves, biomass, deep learning, genome wide association study (GWAS), high throughput plant phenotyping (HTPP), leaf counting, rice ( Oryza sativa L.), phenomics

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/plants11192663

الاتاحة: https://doi.org/10.3390/plants11192663

المؤلفون: Guy Farjon, Yotam Itzhaky, Faina Khoroshevsky, Aharon Bar-Hillel

المصدر: Frontiers in Plant Science, Vol 12 (2021)

مصطلحات موضوعية: image-based plant phenotyping, leaf counting, counting with convolutional neural networks, fusing network components for counting, growth rate estimation, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2021.575751/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/4bf70784b4cc4d4c8281aa22d5df1595

المؤلفون: Aryuanto Soetedjo, Evy Hendriarianti

المصدر: Sensors; Volume 21; Issue 19; Pages: 6659

مصطلحات موضوعية: leaf detection, leaf counting, infrared camera, greenhouse, Raspberry Pi

وصف الملف: application/pdf

Relation: Sensing and Imaging; https://dx.doi.org/10.3390/s21196659

الاتاحة: https://doi.org/10.3390/s21196659

المؤلفون: Michael Buzzy, Vaishnavi Thesma, Mohammadreza Davoodi, Javad Mohammadpour Velni

المصدر: Sensors; Volume 20; Issue 23; Pages: 6896

مصطلحات موضوعية: deep learning, plant leaf counting, You Only Look Once (YOLO) network, real-time decision-making

وصف الملف: application/pdf

Relation: Sensors and Robotics; https://dx.doi.org/10.3390/s20236896

الاتاحة: https://doi.org/10.3390/s20236896

المؤلفون: Xie, Xinyan, Ge, Yufeng, Walia, Harkamal, Yang, Jinliang, Yu, Hongfeng

المصدر: CSE Journal Articles

مصطلحات موضوعية: plant phenotyping, leaf-counting, convolutional neural network, regression, Grad-CAM, Computer Sciences

وصف الملف: application/pdf

Relation: https://digitalcommons.unl.edu/csearticles/304; https://digitalcommons.unl.edu/context/csearticles/article/1343/viewcontent/Xie_SENSORS_2023_Leaf_Counting_in_Monocot.pdf

الاتاحة: https://digitalcommons.unl.edu/csearticles/304
https://digitalcommons.unl.edu/context/csearticles/article/1343/viewcontent/Xie_SENSORS_2023_Leaf_Counting_in_Monocot.pdf

المؤلفون: Giuffrida, Mario Valerio, Doerner, Peter, Tsaftaris, Sotirios A.

مصطلحات موضوعية: image‐based plant phenotyping, machine learning, deep learning, leaf counting, multimodal, night images

Relation: http://researchrepository.napier.ac.uk/Output/2150655; https://napier-repository.worktribe.com/file/2150655/1/Pheno-Deep%20Counter%3A%20A%20Unified%20And%20Versatile%20Deep%20Learning%20Architecture%20For%20Leaf%20Counting

الاتاحة: https://doi.org/10.1111/tpj.14064
https://napier-repository.worktribe.com/file/2150655/1/Pheno-Deep%20Counter%3A%20A%20Unified%20And%20Versatile%20Deep%20Learning%20Architecture%20For%20Leaf%20Counting
http://researchrepository.napier.ac.uk/Output/2150655

المؤلفون: Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen

المصدر: Sensors; Volume 18; Issue 5; Pages: 1580

مصطلحات موضوعية: computer vision, growth stage, leaf counting, convolutional neural network, deep learning

وصف الملف: application/pdf

Relation: Remote Sensors; https://dx.doi.org/10.3390/s18051580

الاتاحة: https://doi.org/10.3390/s18051580

المساهمون: Teimouri, N, Dyrmann, M, Rydahl Nielsen, P, Mathiassen, SK, Somerville, Gaylene, Jørgensen, RN

وصف الملف: 13 pages; Electronic

Relation: The original publication is available from MDPI AG - https://doi.org/10.3390/s18051580 - http://dx.doi.org/10.3390/s18051580; Sensors

الاتاحة: http://api.digitalnz.org/records/56057554/source

المؤلفون: Fan, Xijian, Zhou, Rui, Tjahjadi, Tardi, Choudhury, Sruti Das, Ye, Qiaolin

المصدر: Biological Systems Engineering: Papers and Publications

مصطلحات موضوعية: plant phenotyping, segmentation, deep CNN architecture, leaf counting, multiple traits, Bioresource and Agricultural Engineering, Civil and Environmental Engineering, Engineering, Environmental Engineering, Other Civil and Environmental Engineering

وصف الملف: application/pdf

Relation: https://digitalcommons.unl.edu/biosysengfacpub/802; https://digitalcommons.unl.edu/context/biosysengfacpub/article/1793/viewcontent/Fan_FPS_2022_A_Segmentation.pdf

الاتاحة: https://digitalcommons.unl.edu/biosysengfacpub/802
https://digitalcommons.unl.edu/context/biosysengfacpub/article/1793/viewcontent/Fan_FPS_2022_A_Segmentation.pdf

المؤلفون: Faina Khoroshevsky, Guy Farjon, Aharon Bar-Hillel, Yotam Itzhaky

المصدر: Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)

مصطلحات موضوعية: 0106 biological sciences, Multiple image, Computer science, growth rate estimation, fusing network components for counting, 02 engineering and technology, Plant Science, 01 natural sciences, SB1-1110, 0202 electrical engineering, electronic engineering, information engineering, Methods, Representation (mathematics), Block (data storage), business.industry, Deep learning, image-based plant phenotyping, counting with convolutional neural networks, Plant culture, Pattern recognition, Regression analysis, leaf counting, Plant phenotyping, Regression, 020201 artificial intelligence & image processing, Artificial intelligence, Scale (map), business, 010606 plant biology & botany

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a76da4cd7a7dc721cb887ed84911ee2
https://pubmed.ncbi.nlm.nih.gov/34177972

المؤلفون: Ogidi, Franklin C.

المساهمون: Eramian, Mark, Stavness, Ian, Neufeld, Eric, Mondal, Debajyoti

مصطلحات موضوعية: self-supervised learning, plant phenotyping, contrastive learning, representation similarity analysis, wheat head detection, global wheat head detection, wheat spikelet counting, leaf counting, plant detection, MoCo, DenseCL

وصف الملف: application/pdf

Relation: https://hdl.handle.net/10388/14428; TC-SSU-14428

الاتاحة: https://hdl.handle.net/10388/14428