المؤلفون: Hao Chen, Youliu Zhang, Caijie He, Chuting Chen, Yaoxuan Zhang, Zhiying Chen, Yu Jiang, Caixia Lin, Ruijun Ma, Long Qi

المصدر: Smart Agricultural Technology, Vol 9, Iss , Pp 100557- (2024)

مصطلحات موضوعية: Weakly supervised, Instance segmentation, Deep learning, Weed recognition, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S277237552400162X; https://doaj.org/toc/2772-3755

URL الوصول: https://doaj.org/article/f8ef00608ce04f85a82c79e9c45888e0

المؤلفون: Zishang Yang, Lele Wang, Chenxu Li, He Li

المصدر: Agriculture, Vol 14, Iss 12, p 2357 (2024)

مصطلحات موضوعية: targeted spraying, weed recognition, instance segmentation, YOLOv8-Seg, FasterNet, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2077-0472/14/12/2357; https://doaj.org/toc/2077-0472

URL الوصول: https://doaj.org/article/e604638965b74f14b38f9e74ee9e67e8

المؤلفون: Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

المصدر: Agronomy, Vol 14, Iss 12, p 2911 (2024)

مصطلحات موضوعية: weed recognition, YOLOv8, deep learning, cotton weeds, precision agriculture, Agriculture

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4395/14/12/2911; https://doaj.org/toc/2073-4395

URL الوصول: https://doaj.org/article/8c67be243ddf4e3f84540059d7570417

المؤلفون: Madeleine Darbyshire, Shaun Coutts, Petra Bosilj, Elizabeth Sklar, Simon Parsons

مصطلحات موضوعية: D400 - Agriculture, D410 - Arable & fruit farming, I400 - Artificial intelligence, I440 - Computer vision, Weed management, Precision Agriculture, Weed recognition

Relation: 10779/lincoln.27994088.v1; https://figshare.com/articles/journal_contribution/Review_of_weed_recognition_A_global_agriculture_perspective/27994088

الاتاحة: https://figshare.com/articles/journal_contribution/Review_of_weed_recognition_A_global_agriculture_perspective/27994088

المؤلفون: Helong Yu, Minghang Che, Han Yu, Yuntao Ma

المصدر: Frontiers in Plant Science, Vol 14 (2023)

مصطلحات موضوعية: lightweight semantic segmentation, weed recognition, deep learning, encoder-decoder, convolutional neural network, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2023.1268218/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/61e592cc195540c880c563870da86811

المؤلفون: Talha Ilyas, Jonghoon Lee, Okjae Won, Yongchae Jeong, Hyongsuk Kim

المصدر: Frontiers in Plant Science, Vol 14 (2023)

مصطلحات موضوعية: crop-weed recognition, domain adaptation, precision agriculture, artificial intelligence, crop phenotyping, agricultural operations, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2023.1234616/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/ec18781c143d4501a26903a7a488be3d

المؤلفون: Zhiqiang Guo, Hui Hwang Goh, Xiuhua Li, Muqing Zhang, Yong Li

المصدر: Frontiers in Plant Science, Vol 14 (2023)

مصطلحات موضوعية: precision farming, deep learning, object detection, weed recognition, sugar beets, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2023.1226329/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/cb9aa682310c4d33b1014d63f35d8519

المؤلفون: Tao Tao, Xinhua Wei

المصدر: Plant Methods, Vol 18, Iss 1, Pp 1-12 (2022)

مصطلحات موضوعية: Winter rape seeding, Weed recognition, Convolutional neural network, Support vector machine, Hybrid model, Plant culture, SB1-1110, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1746-4811

URL الوصول: https://doaj.org/article/cb1d96db6c544e6e912aa7ef2f907b8c

المؤلفون: Yecheng Wang, Shuangqing Zhang, Baisheng Dai, Sensen Yang, Haochen Song

المصدر: Frontiers in Plant Science, Vol 14 (2023)

مصطلحات موضوعية: deep learning, fine-grained weed recognition, Swin Transformer network, contrastive loss, transfer learning, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2023.1134932/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/73bdb2992f6547ebb78d8fa91b1b4e69

المؤلفون: Ye Mu, Ruiwen Ni, Lili Fu, Tianye Luo, Ruilong Feng, Ji Li, Haohong Pan, Yingkai Wang, Yu Sun, He Gong, Ying Guo, Tianli Hu, Yu Bao, Shijun Li

المصدر: Frontiers in Plant Science, Vol 13 (2023)

مصطلحات موضوعية: weed recognition, DenseNet, attention mechanism, image preprocessing, local variance, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.1041510/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/0db25b0c4dbc4eb9898993aec8dfbf16

المؤلفون: Yanjuan Wu, Yuzhe He, Yunliang Wang

المصدر: Sensors; Volume 23; Issue 16; Pages: 7153

مصطلحات موضوعية: weed recognition, precision agriculture, convolutional neural network

وصف الملف: application/pdf

Relation: Sensing and Imaging; https://dx.doi.org/10.3390/s23167153

الاتاحة: https://doi.org/10.3390/s23167153

المؤلفون: Jiaheng Zhang, Jinliang Gong, Yanfei Zhang, Kazi Mostafa, Guangyao Yuan

المصدر: Agronomy, Vol 13, Iss 7, p 1846 (2023)

مصطلحات موضوعية: crop, target recognition, target segmentation, semantic segmentation, weed recognition, Agriculture

Relation: https://www.mdpi.com/2073-4395/13/7/1846; https://doaj.org/toc/2073-4395; https://doaj.org/article/6af8b39d0ffa40689f91c3cb92667fd7

الاتاحة: https://doi.org/10.3390/agronomy13071846
https://doaj.org/article/6af8b39d0ffa40689f91c3cb92667fd7

المؤلفون: Coleman, Guy R.Y., Bender, Asher, Walsh, Michael J., Neve, Paul

المصدر: Coleman , G R Y , Bender , A , Walsh , M J & Neve , P 2023 , ' Image-based weed recognition and control : Can it select for crop mimicry? ' , Weed Research , vol. 63 , no. 2 , pp. 77-82 . https://doi.org/10.1111/wre.12566

مصطلحات موضوعية: machine learning, site-specific weed control, Vavilovian mimicry, weed adaptation, weed recognition

وصف الملف: application/pdf

الاتاحة: https://curis.ku.dk/portal/da/publications/imagebased-weed-recognition-and-control(f628d3cc-72f2-47c2-9ca1-e74a02c792a4).html
https://doi.org/10.1111/wre.12566
https://curis.ku.dk/ws/files/361444794/Weed_Research_2023_Coleman.pdf

المؤلفون: Huibin Zhu, Yuanyuan Zhang, Danlei Mu, Lizhen Bai, Hao Zhuang, Hui Li

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

مصطلحات موضوعية: deep learning, laser weeding, weed recognition, weeding robot, Yolo algorithm, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.1017803/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/3dce52ab16154c9fac5484a3bf4db00f

المؤلفون: Helong Yu, Zhibo Men, Chunguang Bi, Huanjun Liu

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

مصطلحات موضوعية: semantic segmentation, weed recognition, feature fusion, channel attention mechanism, improved UNet model, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.890051/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/143998d50ad04f3ea2126f599267e6eb

المؤلفون: Helong Yu, Minghang Che, Han Yu, Jian Zhang

المصدر: Agronomy; Volume 12; Issue 11; Pages: 2889

مصطلحات موضوعية: attention mechanism, improved DeepLabv3+ model, semantic segmentation, transformer, weed recognition

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Precision and Digital Agriculture; https://dx.doi.org/10.3390/agronomy12112889

الاتاحة: https://doi.org/10.3390/agronomy12112889

المؤلفون: N. C. Kundur, P. B. Mallikarjuna

المصدر: Engineering, Technology & Applied Science Research, Vol 12, Iss 6 (2022)

مصطلحات موضوعية: deep learning, efficient net, machine learning, weed recognition, plant seedling classification, Engineering (General). Civil engineering (General), TA1-2040, Technology (General), T1-995, Information technology, T58.5-58.64

Relation: https://www.etasr.com/index.php/ETASR/article/view/5282; https://doaj.org/toc/2241-4487; https://doaj.org/toc/1792-8036; https://doaj.org/article/a189452978e74a94827110298650dec8

الاتاحة: https://doi.org/10.48084/etasr.5282
https://doaj.org/article/a189452978e74a94827110298650dec8

المؤلفون: Muñoz Neira, Milton Javier, Ortíz Delgado, Jaime Alberto

المصدر: Scientia et Technica, ISSN 0122-1701, Vol. 29, Nº. 4, 2024 (Ejemplar dedicado a: Octubre - Diciembre), pags. 158-166

مصطلحات موضوعية: Coffee, Weed Recognition, Texture Analysis, Machine Learning, Café, Reconocimiento de Malezas, Análisis de Textura, Aprendizaje Automático

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9880770

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9880770

المؤلفون: Guzmán, Leonardo Enrique Solaque, Acevedo, Marianne Lorena Romero, Guevara, Adriana Riveros

المصدر: Acta Scientiarum. Agronomy. January 2019 41

مصطلحات موضوعية: mobile robotics, precision agriculture, weed recognition, weed removal, trajectory planning

وصف الملف: text/html

URL الوصول: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212019000100702

المؤلفون: ildar Rakhmatulin

مصطلحات موضوعية: machine learning in weed recognition, Machine vision in weed recognition, deep learning for weed recognition

Relation: https://doi.org/10.38177/ajast.2020.4210; oai:zenodo.org:4107368

الاتاحة: https://doi.org/10.38177/ajast.2020.4210