# Plant Methods

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/plant-methods/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,890 |
| Citations | 83,099 |
| h-index | 134 |
| Homepage | https://plantmethods.biomedcentral.com/ |
| Open Access | true |
| ISSN-L | 1746-4811 |
| ISSNs | 1746-4811 |
| OpenAlex ID | https://openalex.org/S184470774 |
| Publisher | BioMed Central |
| Works | 1,853 |

## Journal papers

- [Detection and analysis of wheat spikes using Convolutional Neural Networks](https://scholariq.org/papers/detection-and-analysis-of-wheat-spikes-using-convolutional-neural-networks/)
- [Semi-supervised few-shot learning approach for plant diseases recognition](https://scholariq.org/papers/semi-supervised-few-shot-learning-approach-for-plant-diseases-recognition/)
- [A survey of few-shot learning in smart agriculture: developments, applications, and challenges](https://scholariq.org/papers/a-survey-of-few-shot-learning-in-smart-agriculture-developments-applications-and/)
- [SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging](https://scholariq.org/papers/spikesegnet-a-deep-learning-approach-utilizing-encoder-decoder-network-with/)
- [Recent advances in plant disease detection: challenges and opportunities](https://scholariq.org/papers/recent-advances-in-plant-disease-detection-challenges-and-opportunities/)
- [Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity](https://scholariq.org/papers/attention-optimized-deeplab-v3-for-automatic-estimation-of-cucumber-disease/)
- [Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features](https://scholariq.org/papers/improving-the-estimation-of-alpine-grassland-fractional-vegetation-cover-using/)
- [Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification](https://scholariq.org/papers/dual-discriminator-gan-based-synthetic-crop-disease-image-generation-for-precise/)
- [VCPC: virtual contrastive constraint and prototype calibration for few-shot class-incremental plant disease classification](https://scholariq.org/papers/vcpc-virtual-contrastive-constraint-and-prototype-calibration-for-few-shot-class/)
- [YOLO-RBSD: an efficient and accurate rice blast spore detector based on improved YOLOv8](https://scholariq.org/papers/yolo-rbsd-an-efficient-and-accurate-rice-blast-spore-detector-based-on-improved/)

## Journal top topics

Showing 8 of 25.

- [Plant Molecular Biology Research](https://scholariq.org/topics/plant-molecular-biology-research/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Plant tissue culture and regeneration](https://scholariq.org/topics/plant-tissue-culture-and-regeneration/)
- [Plant nutrient uptake and metabolism](https://scholariq.org/topics/plant-nutrient-uptake-and-metabolism/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Genetic Mapping and Diversity in Plants and Animals](https://scholariq.org/topics/genetic-mapping-and-diversity-in-plants-and-animals/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.