Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
随着农业现代化和智能化技术的快速发展，作物表型分析正逐步由人工调查向自动化、精准化方向转变。小麦作为全球最重要的粮食作物之一，其产量评估、长势监测及育种选优等关键环节，亟需高效、准确的智能图像识别方法。 在小麦生长周期中，麦穗数量与分布是衡量其产量潜力的重要表型特征。传统的人工统计方式不仅效率低下，而且受环境光照、遮挡、个体差异等因素影响，准确性较差。… Official track: 计算机视觉. Sponsor: 中国农业大学. Teams entered: 295.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jul 21, 2025