131 related articles for article (PubMed ID: 37841606)
1. 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]
2. Towards automatic insect monitoring on witloof chicory fields using sticky plate image analysis.
Kalfas I; De Ketelaere B; Bunkens K; Saeys W
Ecol Inform; 2023 Jul; 75():102037. PubMed ID: 37397435
[TBL] [Abstract][Full Text] [Related]
3. Detection of Small-Sized Insects in Sticky Trapping Images Using Spectral Residual Model and Machine Learning.
Li W; Yang Z; Lv J; Zheng T; Li M; Sun C
Front Plant Sci; 2022; 13():915543. PubMed ID: 35837447
[TBL] [Abstract][Full Text] [Related]
4. Rapid detection of multi-scale cotton pests based on lightweight GBW-YOLOv5 model.
Liang J; Tian M; Liu X
Pest Manag Sci; 2024 Jun; 80(6):2738-2750. PubMed ID: 38294076
[TBL] [Abstract][Full Text] [Related]
5. AgriPest-YOLO: A rapid light-trap agricultural pest detection method based on deep learning.
Zhang W; Huang H; Sun Y; Wu X
Front Plant Sci; 2022; 13():1079384. PubMed ID: 36589124
[TBL] [Abstract][Full Text] [Related]
6. Towards intelligent and integrated pest management through an AIoT-based monitoring system.
Rustia DJA; Chiu LY; Lu CY; Wu YF; Chen SK; Chung JY; Hsu JC; Lin TT
Pest Manag Sci; 2022 Oct; 78(10):4288-4302. PubMed ID: 35716088
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Intelligent Monitoring System of Migratory Pests Based on Searchlight Trap and Machine Vision.
Sun G; Liu S; Luo H; Feng Z; Yang B; Luo J; Tang J; Yao Q; Xu J
Front Plant Sci; 2022; 13():897739. PubMed ID: 35795344
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting.
Wen C; Chen H; Ma Z; Zhang T; Yang C; Su H; Chen H
Front Plant Sci; 2022; 13():973985. PubMed ID: 36570910
[TBL] [Abstract][Full Text] [Related]
11. A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 model.
Jing J; Li S; Qiao C; Li K; Zhu X; Zhang L
J Sci Food Agric; 2023 Nov; 103(14):7070-7082. PubMed ID: 37326973
[TBL] [Abstract][Full Text] [Related]
12. An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity.
Aladhadh S; Habib S; Islam M; Aloraini M; Aladhadh M; Al-Rawashdeh HS
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560117
[TBL] [Abstract][Full Text] [Related]
13. AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data.
Khan A; Malebary SJ; Dang LM; Binzagr F; Song HK; Moon H
Plants (Basel); 2024 Feb; 13(5):. PubMed ID: 38475499
[TBL] [Abstract][Full Text] [Related]
14. Arthropod Pest Management in Strawberry.
Lahiri S; Smith HA; Gireesh M; Kaur G; Montemayor JD
Insects; 2022 May; 13(5):. PubMed ID: 35621809
[TBL] [Abstract][Full Text] [Related]
15. Production and quality of Hami melon (Cucumis melo var. reticulatus) and pest population of Thrips palmi in UV-blocking film greenhouses.
Wang L; Chen J; Zhao C; Jin H; Li F; Wu S
Pest Manag Sci; 2023 Oct; 79(10):4011-4017. PubMed ID: 37278523
[TBL] [Abstract][Full Text] [Related]
16. Effect of the Landscape on Insect Pests and Associated Natural Enemies in Greenhouses Crops: The Strawberry Study Case.
Doehler M; Chauvin D; Le Ralec A; Vanespen É; Outreman Y
Insects; 2023 Mar; 14(3):. PubMed ID: 36975987
[TBL] [Abstract][Full Text] [Related]
17. Integrated sensor-based monitoring system for pest and disease control in greenhouses.
Suciu L; Sumălan R; Moga D
Commun Agric Appl Biol Sci; 2012; 77(4):489-93. PubMed ID: 23885416
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Improved CNN Method for Crop Pest Identification Based on Transfer Learning.
Liu Y; Zhang X; Gao Y; Qu T; Shi Y
Comput Intell Neurosci; 2022; 2022():9709648. PubMed ID: 35341164
[TBL] [Abstract][Full Text] [Related]
20. Aphid Recognition and Counting Based on an Improved YOLOv5 Algorithm in a Climate Chamber Environment.
Li X; Wang L; Miao H; Zhang S
Insects; 2023 Oct; 14(11):. PubMed ID: 37999038
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]