Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
农作物病虫害严重制约着农业生产，因为农作物病虫害种类多、密度大，极易造成农作物大量减产。同时由于传统人眼识别病虫害的方法速度较慢、准确度较低，会导致农药的滥用，破坏自然环境。如今随着精准农业和智慧农业概念的兴起和发展，利用信息技术辅助农业生产，实现对农作物病虫害的智能识别和检测，以减少不必要的农药喷施，对保护生态系统均衡，保障农作物安全生产，提高农作物… Official track: 计算机视觉. Sponsor: 中国农业大学. Teams entered: 530.
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
- May 7, 2021