ArticlePlant methods2023
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting.
Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- VT-SCC: Visual-text semantic alignment via multimodal guidance for unified staple crop organ counting.aBIOTECH · 2026Article
- A Lightweight model for accurate soybean pod detection: YOLO-MobilePod.BMC plant biology · 2026Article
- Intelligent high-throughput recognition model for bitter gourd fruit morphology and tubercle characteristics.Scientific reports · 2026Article
- Amodal Segmentation and Trait Extraction of On-Branch Soybean Pods with a Synthetic Dual-Mask Dataset.Sensors (Basel, Switzerland) · 2025Article
- Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean.Plant methods · 2025Article
- PodNet: Pod real-time instance segmentation in pre-harvest soybean fields.Plant phenomics (Washington, D.C.) · 2025Article
- Changes in the Stress Response and Fitness of Hybrids Between Transgenic Soybean and Wild-Type Plants Under Heat Stress.Plants (Basel, Switzerland) · 2025Article
- LEHP-DETR: A model with backbone improved and hybrid encoding innovated for flax capsule detection.iScience · 2025Article
- Robust soybean seed yield estimation using high-throughput ground robot videos.Frontiers in plant science · 2025Article
- DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants.Frontiers in plant science · 2025Article
- Enhancing Sun-Dried Kelp Detection: Introducing K-YOLO, a Lightweight Model with Improved Precision and Recall.Sensors (Basel, Switzerland) · 2024Article
- Crop insect pest detection based on dilated multi-scale attention U-Net.Plant methods · 2024Article
- Accurate and fast implementation of soybean pod counting and localization from high-resolution image.Frontiers in plant science · 2024Article
- DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean.Plant phenomics (Washington, D.C.) · 2024Article
- Correction: YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting.Plant methods · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
backgroundThe number of soybean pods is one of the most important indicators of soybean yield, pod counting is crucial for yield estimation, cultivation management, and variety breeding. Counting pods manually is slow and laborious. For crop counting, using object detection network is a common practice, but the scattered and overlapped pods make the detection and counting of the pods difficult.
resultsWe propose an approach that we named YOLO POD, based on the YOLO X framework. On top of YOLO X, we added a block for predicting the number of pods, modified the loss function, thus constructing a multi-task model, and introduced the Convolutional Block Attention Module (CBAM). We achieve accurate identification and counting of pods without reducing the speed of inference. The results showed that the R
conclusionsWe have achieved the first accurate counting of soybean pods and proposed a new solution for the detection and counting of dense objects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.