吉林农业大学学报2026，Vol.48Issue(4)：565-575,11.DOI:10.13327/j.jjlau.2026.0217
农作物苗情检测技术研究进展与展望
Research Progress and Prospects of Crop Seedling Condition Detec-tion Technologies
摘要
Abstract
Crop seedling detection is a crucial technology in precision agriculture for sensing early growth status and supporting precise field management.On the basis of clarifying key seedling condi-tion parameters and technical systems,this paper focuses on data acquisition platforms,multi-source sensing data,and intelligent detection methods,systematically reviewing research progress in plant recognition and emergence counting,growth phenotyping extraction,and diagnosis of diseases,pests,weeds,and stress conditions.Key challenges are analyzed from the perspectives of data foundation,model generalization,multi-source fusion,edge deployment,and agronomic integration.Future devel-opment directions are also discussed,including standard dataset construction,robust learning,tempo-ral fusion,cloud-edge collaboration,and closed-loop system of"perception-decision".This review aims to provide references for technology selection,method optimization,and field application in crop seedling detection.关键词
农作物苗情检测/图像处理/深度学习/多模态融合/精准农业Key words
crop seedling condition detection/image processing/deep learning/multi-modal fu-sion/precision agriculture分类
农业科技引用本文复制引用
赵岩,于河涛,陈学庚,田辛亮..农作物苗情检测技术研究进展与展望[J].吉林农业大学学报,2026,48(4):565-575,11.基金项目
兵团重大科技计划项目(2025AA013) （2025AA013）
