المؤلفون: Hermawan Nugroho, Jing Xan Chew, Sivaraman Eswaran, Fei Siang Tay

المصدر: Plant Methods, Vol 20, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: ARM Cortex-M microprocessors, Convolutional neural networks, Rice disease detection, Agricultural productivity, 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/372dac8e263b43b1bcd6339e4cc7c2cd

المؤلفون: Burak Gülmez

المصدر: Heliyon, Vol 10, Iss 12, Pp e33328- (2024)

مصطلحات موضوعية: Artificial intelligence in agriculture, Hyperparameter optimization, Data preprocessing, Convolutional neural networks, Rice disease detection, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024093599; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/ff934da82b444103857a942bfa814c4d

المؤلفون: Anshuman Nayak, Somsubhra Chakraborty, Dillip Kumar Swain

المصدر: Smart Agricultural Technology, Vol 4, Iss , Pp 100195- (2023)

مصطلحات موضوعية: Image processing, Smartphone, Application, Rice disease detection, Rice nutrient deficiency detection, Transfer learning, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772375523000254; https://doaj.org/toc/2772-3755

URL الوصول: https://doaj.org/article/d0f66333733f49cb8ec1571d8049c289

المؤلفون: Nanxin Zeng, Gufeng Gong, Guoxiong Zhou, Can Hu

المصدر: Plants; Volume 12; Issue 11; Pages: 2225

مصطلحات موضوعية: rice disease detection, coordinate attention, ICAI-V4, Candy algorithm, involution

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Plant Modeling; https://dx.doi.org/10.3390/plants12112225

الاتاحة: https://doi.org/10.3390/plants12112225

المؤلفون: Jiaqi Li, Xinyan Zhao, Hening Xu, Liman Zhang, Boyu Xie, Jin Yan, Longchuang Zhang, Dongchen Fan, Lin Li

المصدر: Plants, Vol 12, Iss 3273, p 3273 (2023)

مصطلحات موضوعية: rice disease detection, transfer learning, multimodality dataset, model interpreter, Botany, QK1-989

Relation: https://www.mdpi.com/2223-7747/12/18/3273; https://doaj.org/toc/2223-7747; https://doaj.org/article/56890fc697fd442d85a87714abda6e53

الاتاحة: https://doi.org/10.3390/plants12183273
https://doaj.org/article/56890fc697fd442d85a87714abda6e53

المؤلفون: Lei Feng, Baohua Wu, Yong He, Chu Zhang

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

مصطلحات موضوعية: rice disease detection, hyperspectral imaging, fine-tuning, deep CORAL, deep domain confusion, saliency map, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2021.693521/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/426372c2368741589c696aab9ed557c6

المؤلفون: Guoxiong Zhou, Wenzhuo Zhang, Aibin Chen, Mingfang He, Xueshuo Ma

المصدر: IEEE Access, Vol 7, Pp 143190-143206 (2019)

مصطلحات موضوعية: Chaos theory, faster R-CNN, firefly algorithm, Otsu threshold segmentation, K-means clustering algorithm, rice disease detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8847623/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/aadd03e6bb12416895b5217abc5694d0

المؤلفون: VEZIROGLU, Erkan, PACAL, Ishak, COŞKUNÇAY, Ahmet

المصدر: Volume: 13, Issue: 2 792-814 ; 2536-4618 ; Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi ; Journal of the Institute of Science and Technology

مصطلحات موضوعية: Bitki hastalığı sınıflandırması, Pirinç hastalığı tespiti, Evrişimli sinir ağları, Derin öğrenme, Öğrenme aktarımı, Crop disease classification, Rice disease detection, Convolutional neural networks, Deep learning, Transfer learning, Bilgisayar Bilimleri, Bilgi Sistemleri, Computer Science, Information System

وصف الملف: application/pdf

Relation: https://dergipark.org.tr/tr/download/article-file/3013480; https://dergipark.org.tr/tr/pub/jist/issue/77307/1265769

الاتاحة: https://dergipark.org.tr/tr/pub/jist/issue/77307/1265769
https://doi.org/10.21597/jist.1265769

المؤلفون: Xueshuo Ma, Mingfang He, Wenzhuo Zhang, Aibin Chen, Guoxiong Zhou

المصدر: IEEE Access, Vol 7, Pp 143190-143206 (2019)

مصطلحات موضوعية: 0106 biological sciences, General Computer Science, Computer science, Noise reduction, 02 engineering and technology, 01 natural sciences, rice disease detection, Local optimum, 0202 electrical engineering, electronic engineering, information engineering, Median filter, General Materials Science, Segmentation, Firefly algorithm, Cluster analysis, Noise (signal processing), business.industry, firefly algorithm, General Engineering, Pattern recognition, faster R-CNN, Chaos theory, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, K-means clustering algorithm, business, Otsu threshold segmentation, lcsh:TK1-9971, 010606 plant biology & botany

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da26f84bd3bb374864eb6186b41b7f8
https://ieeexplore.ieee.org/document/8847623/

المؤلفون: Lei Feng (122689), Baohua Wu (2124334), Yong He (115255), Chu Zhang (626017)

مصطلحات موضوعية: Botany, Plant Biology, Plant Systematics and Taxonomy, Plant Cell and Molecular Biology, Plant Developmental and Reproductive Biology, Plant Pathology, Plant Physiology, Plant Biology not elsewhere classified, rice disease detection, hyperspectral imaging, fine-tuning, deep CORAL, deep domain confusion, saliency map

Relation: https://figshare.com/articles/dataset/Data_Sheet_1_Hyperspectral_Imaging_Combined_With_Deep_Transfer_Learning_for_Rice_Disease_Detection_docx/16697023

الاتاحة: https://doi.org/10.3389/fpls.2021.693521.s001

المؤلفون: Ramesh, S, Vydeki, D

المصدر: International Journal of Engineering & Technology; Vol 7, No 3.6 (2018): Special Issue 6; 400-402 ; 2227-524X ; 10.14419/ijet.v7i3.6

مصطلحات موضوعية: Agriculture, rice disease detection, raspberry pi, sensor and IoT (internet of things)

وصف الملف: application/pdf

Relation: https://www.sciencepubco.com/index.php/ijet/article/view/16011/6718; https://www.sciencepubco.com/index.php/ijet/article/view/16011

الاتاحة: https://www.sciencepubco.com/index.php/ijet/article/view/16011
https://doi.org/10.14419/ijet.v7i3.6.16011