Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
在当前农业生产智能化和机械化水平不断提升的背景下，玉米种植过程中杂草的高效识别与清除成为影响作物产量和田间管理效率的重要环节。玉米苗期正值作物与杂草竞争最为激烈的时期，传统的人工除草方法效率低、成本高，且难以实现大规模精准操作。 随着无人机遥感技术、边缘计算设备以及深度学习视觉模型的广泛应用，通过图像识别自动区分玉米幼苗与杂草，为农业机器人与自动除草装… Official track: 计算机视觉. Sponsor: 中国农业大学. Teams entered: 202.
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