166 related articles for article (PubMed ID: 31857821)
1. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks.
Xiong H; Cao Z; Lu H; Madec S; Liu L; Shen C
Plant Methods; 2019; 15():150. PubMed ID: 31857821
[TBL] [Abstract][Full Text] [Related]
2. TasselNet: counting maize tassels in the wild via local counts regression network.
Lu H; Cao Z; Xiao Y; Zhuang B; Shen C
Plant Methods; 2017; 13():79. PubMed ID: 29118821
[TBL] [Abstract][Full Text] [Related]
3. TasselNetV2+: A Fast Implementation for High-Throughput Plant Counting From High-Resolution RGB Imagery.
Lu H; Cao Z
Front Plant Sci; 2020; 11():541960. PubMed ID: 33365037
[TBL] [Abstract][Full Text] [Related]
4. Maize tassels detection: a benchmark of the state of the art.
Zou H; Lu H; Li Y; Liu L; Cao Z
Plant Methods; 2020; 16():108. PubMed ID: 32782455
[TBL] [Abstract][Full Text] [Related]
5. Detection and analysis of wheat spikes using Convolutional Neural Networks.
Hasan MM; Chopin JP; Laga H; Miklavcic SJ
Plant Methods; 2018; 14():100. PubMed ID: 30459822
[TBL] [Abstract][Full Text] [Related]
6. SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging.
Misra T; Arora A; Marwaha S; Chinnusamy V; Rao AR; Jain R; Sahoo RN; Ray M; Kumar S; Raju D; Jha RR; Nigam A; Goel S
Plant Methods; 2020; 16():40. PubMed ID: 32206080
[TBL] [Abstract][Full Text] [Related]
7. WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression network.
Ye J; Yu Z; Wang Y; Lu D; Zhou H
Plant Methods; 2023 Oct; 19(1):103. PubMed ID: 37794515
[TBL] [Abstract][Full Text] [Related]
8. TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and counting.
Yu Z; Ye J; Li C; Zhou H; Li X
Front Plant Sci; 2023; 14():1158940. PubMed ID: 37123842
[TBL] [Abstract][Full Text] [Related]
9. Wheat Spike Detection and Counting in the Field Based on SpikeRetinaNet.
Wen C; Wu J; Chen H; Su H; Chen X; Li Z; Yang C
Front Plant Sci; 2022; 13():821717. PubMed ID: 35310650
[TBL] [Abstract][Full Text] [Related]
10.
Sadeghi-Tehran P; Virlet N; Ampe EM; Reyns P; Hawkesford MJ
Front Plant Sci; 2019; 10():1176. PubMed ID: 31616456
[TBL] [Abstract][Full Text] [Related]
11. Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network.
Chen Z; Zhang S; Zheng X; Zhao X; Kong Y
IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37610898
[TBL] [Abstract][Full Text] [Related]
12. A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild.
Zheng H; Fan X; Bo W; Yang X; Tjahjadi T; Jin S
Plant Phenomics; 2023; 5():0100. PubMed ID: 37791249
[TBL] [Abstract][Full Text] [Related]
13. Towards Automated Analysis of Grain Spikes in Greenhouse Images Using Neural Network Approaches: A Comparative Investigation of Six Methods.
Ullah S; Henke M; Narisetti N; Panzarová K; Trtílek M; Hejatko J; Gladilin E
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833515
[TBL] [Abstract][Full Text] [Related]
14. An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting.
Zhang P; Lei W; Zhao X; Dong L; Lin Z
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765861
[TBL] [Abstract][Full Text] [Related]
15. Automatic Detection and Counting of Wheat Spikelet Using Semi-Automatic Labeling and Deep Learning.
Qiu R; He Y; Zhang M
Front Plant Sci; 2022; 13():872555. PubMed ID: 35707612
[TBL] [Abstract][Full Text] [Related]
16. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
17. Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting.
Huang L; Shen S; Zhu L; Shi Q; Zhang J
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590922
[TBL] [Abstract][Full Text] [Related]
18. Detection method of wheat spike improved YOLOv5s based on the attention mechanism.
Zang H; Wang Y; Ru L; Zhou M; Chen D; Zhao Q; Zhang J; Li G; Zheng G
Front Plant Sci; 2022; 13():993244. PubMed ID: 36247573
[TBL] [Abstract][Full Text] [Related]
19. PaDNet: Pan-Density Crowd Counting.
Tian Y; Lei Y; Zhang J; Wang JZ
IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725380
[TBL] [Abstract][Full Text] [Related]
20. Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images.
Atanbori J; Montoya-P ME; Selvaraj MG; French AP; Pridmore TP
Front Plant Sci; 2019; 10():1516. PubMed ID: 31850020
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]