本研究提出了一种新颖的种子计数流程，利用深度学习算法以实现收获前产量预测的自动化，这是育种过程中的关键环节。与现有方法通常仅适用于单一种子种类或形状相似的种子不同，我们的方法能够准确估算多种不同种类种子的数量。该流程结合了用于种子图像分类的分类网络，以及专门针对不同种子形态定制的目标检测模型。通过集成种子分类器、三种不同的种子检测�
active 2024-05-09 → 2025-06-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 396 days from 2024-05-09 to 2025-06-08. Pushes: 10 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ZeonlungPun | 10 | 10 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.