124 related articles for article (PubMed ID: 36311098)
1. Detecting strawberry diseases and pest infections in the very early stage with an ensemble deep-learning model.
Lee S; Arora AS; Yun CM
Front Plant Sci; 2022; 13():991134. PubMed ID: 36311098
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic pest identification system in the greenhouse based on deep learning and machine vision.
Zhang X; Bu J; Zhou X; Wang X
Front Plant Sci; 2023; 14():1255719. PubMed ID: 37841606
[TBL] [Abstract][Full Text] [Related]
4. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Plant diseases and pests detection based on deep learning: a review.
Liu J; Wang X
Plant Methods; 2021 Feb; 17(1):22. PubMed ID: 33627131
[TBL] [Abstract][Full Text] [Related]
7. High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm.
Li M; Cheng S; Cui J; Li C; Li Z; Zhou C; Lv C
Plants (Basel); 2023 Jan; 12(1):. PubMed ID: 36616330
[TBL] [Abstract][Full Text] [Related]
8. Tomato Pest Recognition Algorithm Based on Improved YOLOv4.
Liu J; Wang X; Miao W; Liu G
Front Plant Sci; 2022; 13():814681. PubMed ID: 35909759
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Deep ensemble learning for automatic medicinal leaf identification.
Sachar S; Kumar A
Int J Inf Technol; 2022; 14(6):3089-3097. PubMed ID: 35975198
[TBL] [Abstract][Full Text] [Related]
11. A deep learning model for predicting risks of crop pests and diseases from sequential environmental data.
Lee S; Yun CM
Plant Methods; 2023 Dec; 19(1):145. PubMed ID: 38093269
[TBL] [Abstract][Full Text] [Related]
12. Convolutional Rebalancing Network for the Classification of Large Imbalanced Rice Pest and Disease Datasets in the Field.
Yang G; Chen G; Li C; Fu J; Guo Y; Liang H
Front Plant Sci; 2021; 12():671134. PubMed ID: 34290724
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
[TBL] [Abstract][Full Text] [Related]
15. Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network.
Liu J; Wang X
Front Plant Sci; 2020; 11():898. PubMed ID: 32612632
[TBL] [Abstract][Full Text] [Related]
16. Improved Vision-Based Detection of Strawberry Diseases Using a Deep Neural Network.
Kim B; Han YK; Park JH; Lee J
Front Plant Sci; 2020; 11():559172. PubMed ID: 33584739
[TBL] [Abstract][Full Text] [Related]
17. Detection of Strawberry Diseases Using a Convolutional Neural Network.
Xiao JR; Chung PC; Wu HY; Phan QH; Yeh JA; Hou MT
Plants (Basel); 2020 Dec; 10(1):. PubMed ID: 33375537
[TBL] [Abstract][Full Text] [Related]
18. CCMT: Dataset for crop pest and disease detection.
Mensah PK; Akoto-Adjepong V; Adu K; Ayidzoe MA; Bediako EA; Nyarko-Boateng O; Boateng S; Donkor EF; Bawah FU; Awarayi NS; Nimbe P; Nti IK; Abdulai M; Adjei RR; Opoku M; Abdulai S; Amu-Mensah F
Data Brief; 2023 Aug; 49():109306. PubMed ID: 37360671
[TBL] [Abstract][Full Text] [Related]
19. Deep learning-based system development for black pine bast scale detection.
Yun W; Kumar JP; Lee S; Kim DS; Cho BK
Sci Rep; 2022 Jan; 12(1):606. PubMed ID: 35022444
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
