226 related articles for article (PubMed ID: 36433508)
1. Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning.
Lee S; Choi G; Park HC; Choi C
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433508
[TBL] [Abstract][Full Text] [Related]
2. Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique.
Hadipour-Rokni R; Askari Asli-Ardeh E; Jahanbakhshi A; Esmaili Paeen-Afrakoti I; Sabzi S
Comput Biol Med; 2023 Mar; 155():106611. PubMed ID: 36774891
[TBL] [Abstract][Full Text] [Related]
3. Classification of Citrus Diseases Using Optimization Deep Learning Approach.
Elaraby A; Hamdy W; Alanazi S
Comput Intell Neurosci; 2022; 2022():9153207. PubMed ID: 35186072
[TBL] [Abstract][Full Text] [Related]
4. A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning.
Rauf HT; Saleem BA; Lali MIU; Khan MA; Sharif M; Bukhari SAC
Data Brief; 2019 Oct; 26():104340. PubMed ID: 31516936
[TBL] [Abstract][Full Text] [Related]
5. Using transfer learning-based plant disease classification and detection for sustainable agriculture.
Shafik W; Tufail A; De Silva Liyanage C; Apong RAAHM
BMC Plant Biol; 2024 Feb; 24(1):136. PubMed ID: 38408925
[TBL] [Abstract][Full Text] [Related]
6. PlantInfoCMS: Scalable Plant Disease Information Collection and Management System for Training AI Models.
Jin D; Yin H; Zheng R; Yoo SJ; Gu YH
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299759
[TBL] [Abstract][Full Text] [Related]
7. An automatic system for pest recognition and forecasting.
Wang R; Li R; Chen T; Zhang J; Xie C; Qiu K; Chen P; Du J; Chen H; Shao F; Hu H; Liu H
Pest Manag Sci; 2022 Feb; 78(2):711-721. PubMed ID: 34672074
[TBL] [Abstract][Full Text] [Related]
8. Classification Accuracy Improvement for Small-Size Citrus Pests and Diseases Using Bridge Connections in Deep Neural Networks.
Xing S; Lee M
Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32899200
[TBL] [Abstract][Full Text] [Related]
9. Survey on crop pest detection using deep learning and machine learning approaches.
Chithambarathanu M; Jeyakumar MK
Multimed Tools Appl; 2023 Apr; ():1-34. PubMed ID: 37362671
[TBL] [Abstract][Full Text] [Related]
10. Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms.
Apacionado BV; Ahamed T
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896610
[TBL] [Abstract][Full Text] [Related]
11. AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild.
Wang R; Liu L; Xie C; Yang P; Li R; Zhou M
Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33668820
[TBL] [Abstract][Full Text] [Related]
12. Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection.
Linfeng W; Yong L; Jiayao L; Yunsheng W; Shipu X
PLoS One; 2023; 18(10):e0286732. PubMed ID: 37796844
[TBL] [Abstract][Full Text] [Related]
13. The power of transfer learning in agricultural applications: AgriNet.
Al Sahili Z; Awad M
Front Plant Sci; 2022; 13():992700. PubMed ID: 36589063
[TBL] [Abstract][Full Text] [Related]
14. Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards.
da Silva JCF; Silva MC; Luz EJS; Delabrida S; Oliveira RAR
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850763
[TBL] [Abstract][Full Text] [Related]
15. A lightweight model for efficient identification of plant diseases and pests based on deep learning.
Guan H; Fu C; Zhang G; Li K; Wang P; Zhu Z
Front Plant Sci; 2023; 14():1227011. PubMed ID: 37521914
[TBL] [Abstract][Full Text] [Related]
16. Citrus green fruit detection
Lu J; Yang R; Yu C; Lin J; Chen W; Wu H; Chen X; Lan Y; Wang W
Front Plant Sci; 2022; 13():946154. PubMed ID: 36578336
[TBL] [Abstract][Full Text] [Related]
17. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition.
Fuentes A; Yoon S; Kim SC; Park DS
Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28869539
[TBL] [Abstract][Full Text] [Related]
18. Detection of citrus diseases in complex backgrounds based on image-text multimodal fusion and knowledge assistance.
Qiu X; Chen H; Huang P; Zhong D; Guo T; Pu C; Li Z; Liu Y; Chen J; Wang S
Front Plant Sci; 2023; 14():1280365. PubMed ID: 38089795
[TBL] [Abstract][Full Text] [Related]
19. Recognition pest by image-based transfer learning.
Dawei W; Limiao D; Jiangong N; Jiyue G; Hongfei Z; Zhongzhi H
J Sci Food Agric; 2019 Aug; 99(10):4524-4531. PubMed ID: 30868598
[TBL] [Abstract][Full Text] [Related]
20. EfficientRMT-Net-An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases.
Shaheed K; Qureshi I; Abbas F; Jabbar S; Abbas Q; Ahmad H; Sajid MZ
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067888
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
