المؤلفون: Yongzheng Miao, Wei Meng, Xiaoyu Zhou

المصدر: Frontiers in Plant Science, Vol 15 (2025)

مصطلحات موضوعية: plant disease detection, YOLOv8, complex environment, deep learning in agriculture, agricultural productivity, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2024.1514832/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/a7d9d5e7c7504d1285f12bcfe273c820

المؤلفون: Eu-Tteum Baek

المصدر: Sensors, Vol 25, Iss 1, p 270 (2025)

مصطلحات موضوعية: attention mechanism, plant pathology, deep learning in agriculture, multi-modal disease detection, vision-based diagnosis, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/25/1/270; https://doaj.org/toc/1424-8220; https://doaj.org/article/ff28e50d0a254ef096d4ec3bcea9ce70

الاتاحة: https://doi.org/10.3390/s25010270
https://doaj.org/article/ff28e50d0a254ef096d4ec3bcea9ce70

المؤلفون: Gizem Irmak, Ahmet Saygılı

المصدر: Journal of Agricultural Sciences, Vol 30, Iss 2, Pp 367-385 (2024)

مصطلحات موضوعية: automated agriculture, machine learning in agriculture, convolutional neural networks in plant pathology, deep learning in agriculture, smart farming, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: https://dergipark.org.tr/tr/download/article-file/3286750; https://doaj.org/toc/1300-7580; https://doaj.org/toc/2148-9297

URL الوصول: https://doaj.org/article/8e928a18cad54f72bd5f952e810811db

المؤلفون: Tong Zhu, Fengyi Yan, Xinyang Lv, Hanyi Zhao, Zihang Wang, Keqin Dong, Zhengjie Fu, Ruihao Jia, Chunli Lv

المصدر: Plants, Vol 13, Iss 22, p 3151 (2024)

مصطلحات موضوعية: maize leaf disease detection, state-space attention mechanism, deep learning in agriculture, image-based disease identification, computer vision for plant health, Botany, QK1-989

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2223-7747/13/22/3151; https://doaj.org/toc/2223-7747

URL الوصول: https://doaj.org/article/f6181ae664e84870a356f7303b199cb7

المؤلفون: Mengxue Ji, Zizhe Zhou, Xinyue Wang, Weidong Tang, Yan Li, Yilin Wang, Chaoyu Zhou, Chunli Lv

المصدر: Plants, Vol 13, Iss 21, p 3001 (2024)

مصطلحات موضوعية: hybrid attention mechanism, deep learning in agriculture, real-time disease detection, hybrid loss function, convolutional neural networks, Botany, QK1-989

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2223-7747/13/21/3001; https://doaj.org/toc/2223-7747

URL الوصول: https://doaj.org/article/34ea519241c342d7914faa30a82a7281

المؤلفون: Ruiheng Li, Jiarui Liu, Binqin Shi, Hanyi Zhao, Yan Li, Xinran Zheng, Chao Peng, Chunli Lv

المصدر: Plants, Vol 13, Iss 19, p 2720 (2024)

مصطلحات موضوعية: grape disease detection, multimodal data integration, mobile device deployment, real-time disease detection, deep learning in agriculture, Botany, QK1-989

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2223-7747/13/19/2720; https://doaj.org/toc/2223-7747

URL الوصول: https://doaj.org/article/14f999d027a24430a31de6a897b67273

المؤلفون: Ruiheng Li, Xiaotong Su, Hang Zhang, Xiyan Zhang, Yifan Yao, Shutian Zhou, Bohan Zhang, Muyang Ye, Chunli Lv

المصدر: Plants, Vol 13, Iss 17, p 2435 (2024)

مصطلحات موضوعية: cucumber disease detection, diffusion transformer, deep learning in agriculture, knowledge graph integration, precision agriculture technologies, Botany, QK1-989

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2223-7747/13/17/2435; https://doaj.org/toc/2223-7747

URL الوصول: https://doaj.org/article/a64263e6608c4738971b6379f719eca3

المؤلفون: Xiaotong Gao, Songwei Li, Xiaotong Su, Yan Li, Lingyun Huang, Weidong Tang, Yuanchen Zhang, Min Dong

المصدر: Agriculture, Vol 14, Iss 7, p 1098 (2024)

مصطلحات موضوعية: advanced image processing, Segment Anything Model, apple quality grading, apple defect detection, deep learning in agriculture, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2077-0472/14/7/1098; https://doaj.org/toc/2077-0472

URL الوصول: https://doaj.org/article/4e27bc5283bb4934aeb5a26e4def9b3d

المؤلفون: Bingyuan Han, Peiyan Duan, Chengcheng Zhou, Xiaotong Su, Ziyan Yang, Shutian Zhou, Mengxue Ji, Yucen Xie, Jianjun Chen, Chunli Lv

المصدر: Plants, Vol 13, Iss 12, p 1681 (2024)

مصطلحات موضوعية: deep learning in agriculture, adaptive sampling network, precision agriculture, model lightweight deployment, apricot disease detection, Botany, QK1-989

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2223-7747/13/12/1681; https://doaj.org/toc/2223-7747

URL الوصول: https://doaj.org/article/8b5e4fedc1f7404a83be7417334cd577

المؤلفون: Researcher

المساهمون: Tenny Enoch Devadas

المصدر: International Journal of Engineering and Technology Research (IJETR), 9(2), 119-129, (2024-09-05)

مصطلحات موضوعية: Deep Learning in Agriculture, Precision Farming, Weather-Based Crop Prediction, Sustainable Agriculture, Climate-Adaptive Agriculture

Relation: https://doi.org/10.5281/zenodo.13692248; https://doi.org/10.5281/zenodo.13692249; oai:zenodo.org:13692249

الاتاحة: https://doi.org/10.5281/zenodo.13692249

المؤلفون: Jian Lu, Jian Li, Hongkun Fu, Xuhui Tang, Zhao Liu, Hui Chen, Yue Sun, Xiangyu Ning

المصدر: Agriculture, Vol 14, Iss 6, p 794 (2024)

مصطلحات موضوعية: crop yield prediction, multi-source data, deep learning in agriculture, CNN-LSTM-Attention model, kNDVI, Agriculture (General), S1-972

Relation: https://www.mdpi.com/2077-0472/14/6/794; https://doaj.org/toc/2077-0472; https://doaj.org/article/4fbed6f2579c48188b4cd808605b2c17

الاتاحة: https://doi.org/10.3390/agriculture14060794
https://doaj.org/article/4fbed6f2579c48188b4cd808605b2c17

المؤلفون: Kuiheng Chen, Jingjing Lang, Jiayun Li, Du Chen, Xuaner Wang, Junyu Zhou, Xuan Liu, Yihong Song, Min Dong

المصدر: Agriculture, Vol 14, Iss 6, p 797 (2024)

مصطلحات موضوعية: deep learning in agriculture, peach disease detection and segmentation, image and sensor data fusion, tiny feature attention, precision agriculture, Agriculture (General), S1-972

Relation: https://www.mdpi.com/2077-0472/14/6/797; https://doaj.org/toc/2077-0472; https://doaj.org/article/4c9a4ecc8ee643068e85c9b5d1696ade

الاتاحة: https://doi.org/10.3390/agriculture14060797
https://doaj.org/article/4c9a4ecc8ee643068e85c9b5d1696ade

المؤلفون: Mingle Xu, Hyongsuk Kim, Jucheng Yang, Alvaro Fuentes, Yao Meng, Sook Yoon, Taehyun Kim, Dong Sun Park

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

مصطلحات موضوعية: plant disease recognition, AI in Agriculture, deep learning in agriculture, smart agriculture, precision agriculture, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2023.1225409/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/f3c0115a09de4ca78c6bae1ba04d747f

المؤلفون: Kumar, Kushal, Tripathi, Khushboo, Gupta, Rashmi

المصدر: International Journal of Innovative Research in Engineering & Management; Vol. 10 No. 3 (2023): International Journal of Innovative Research in Engineering & Management (JUN) 2023; 146-151 ; 2350-0557

مصطلحات موضوعية: Plant diseases detection, CNN, image classification, deep learning in agriculture

وصف الملف: application/pdf

Relation: https://acspublisher.com/journals/index.php/ijirem/article/view/10230/9049; https://acspublisher.com/journals/index.php/ijirem/article/view/10230

الاتاحة: https://acspublisher.com/journals/index.php/ijirem/article/view/10230
https://doi.org/10.55524/ijirem.2023.10.3.23

المؤلفون: Pei Wang, Fan Luo, Lihong Wang, Chengsong Li, Qi Niu, Hui Li

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

مصطلحات موضوعية: deep learning in agriculture, small target insect, insect identification, ResNet model, convolutional neural network, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2022.1066115/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/38ddcd7ff347494a9dd2b2dc3461aca4

المؤلفون: Punam Bedi, Pushkar Gole

المصدر: Artificial Intelligence in Agriculture, Vol 5, Iss , Pp 90-101 (2021)

مصطلحات موضوعية: Plant disease detection, Convolutional autoencoder, Convolutional neural network, Deep learning in agriculture, Agriculture

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589721721000180; https://doaj.org/toc/2589-7217

URL الوصول: https://doaj.org/article/e3bd88c17dbf43738fd53f2f0200b657

المؤلفون: S. Imran Moazzam, Umar S. Khan, Waqar S. Qureshi, Mohsin I. Tiwana, Nasir Rashid, Waleed S. Alasmary, Javaid Iqbal, Amir Hamza

المصدر: IEEE Access, Vol 9, Pp 121698-121715 (2021)

مصطلحات موضوعية: Autonomous weed detection, drone weed detection, deep learning in agriculture, multispectral image processing, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9525394/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b771b2bc22de44138113afd9d4f99f24

المؤلفون: Rakhmatulin Ildar, Kamilaris Andreas, Andreasen Christian

مصطلحات موضوعية: deep learning in agriculture, precision agriculture, weed detection, robotic weed control, machine vision for weed control

Relation: https://zenodo.org/communities/eu; https://doi.org/10.5281/zenodo.7599138; https://doi.org/10.5281/zenodo.7599139; oai:zenodo.org:7599139

الاتاحة: https://doi.org/10.5281/zenodo.7599139

المؤلفون: Hai Ho Dac, Claudia Gonzalez Viejo, Nir Lipovetzky, Eden Tongson, Frank R. Dunshea, Sigfredo Fuentes

المصدر: Sensors; Volume 22; Issue 21; Pages: 8256

مصطلحات موضوعية: cow identification system, deep learning in agriculture, computer vision, edge computing

وصف الملف: application/pdf

Relation: Smart Agriculture; https://dx.doi.org/10.3390/s22218256

الاتاحة: https://doi.org/10.3390/s22218256

المؤلفون: Dae-Hyun Jung, Taek Sung Lee, KangGeon Kim, Soo Hyun Park

المصدر: Agronomy; Volume 12; Issue 9; Pages: 2169

مصطلحات موضوعية: intelligent modeling for crops and their environment, multi-factor control for greenhouse environment, deep learning in agriculture

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Agricultural Biosystem and Biological Engineering; https://dx.doi.org/10.3390/agronomy12092169

الاتاحة: https://doi.org/10.3390/agronomy12092169