宋鹏｜华中农业大学｜学者主页

2026

基于GA-DETR的自然场景谷类作物穗部检测方法

王佳诗，崔晨曦，杜奥博，石祥龙，刘进宝，邓雪寒，杨万能，宋鹏，段凌凤，翟瑞芳

《农业机械学报》

2026

作物表型组学：近十年进展、挑战和展望

汤延，王江林，王曦，邵阳，陈韵宇，冯慧，宋鹏，杨万能

《中国科学:生命科学》

2026

基于改进YOLO 11n的密集遮挡环境百香果识别方法

汤晨，刘振青，邵阳，乐凯，高玲，顾晔，宋鹏

《农业机械学报》

2026

From on-device vision to assisted harvesting: A lightweight real-time ripeness evaluation system for truss-harvested cherry tomatoes on augmented reality glasses

Yang Shao, Jiale Cui, Chengzhi Tang, Zhenqing Liu, Feng-Jiao Xu, Ruifang Zhai, Wan-Neng Yang, Peng Song

Artificial Intelligence in Agriculture

DOI

2026

Dual-Path Deep Learning and Hierarchical Spectral Clustering: A Versatile Framework for Semantic and Instance Segmentation of Plant Point Clouds

Xuehan Deng, Kai Xie, Xin-Ting Jiang, Wan-Neng Yang, Peng Song, Zhi Gao, Ruifang Zhai

Smart Agricultural Technology

DOI

2026

Hierarchical machine learning diagnosis framework based on multimodal flexible wearable system for early identification of plant stress with suppressed microclimate cross-interference

Yan-Song Li, Ying-Li Wang, Peng Song, Zhi-Qi Zhao, Hong-Yu Chen, Jia-Xi He, Wan-Neng Yang, Chenglong Huang

Advanced Biosensors

DOI

2026

UMF-stomata: An unsupervised multi-focus fusion framework for microscopic stomatal phenotyping

Xianglong Shi, Aobo Du, Peng Song, Hui Peng, Wan-Neng Yang, Rui-Fang Zhai

Plant Phenomics

DOI

2026

Decoding genetic basis of nitrogen use efficiency in maize using AI-generated deep phenotypes.

Haoyan Yang, Lingju Zeng, Xiangjian Gou, Yang Shao, Xian-Long Song, Shuang Zhang, Xiaoyan Qian, Zhenwei Zhang, Xiao Wang, Hai-Tao Li, Bo Peng, Juliet Nkiruka Anyanwu, Zi-Hao Zheng, Linqian Han, Ling Zhou, Mustafa Bulut, Peng Song, Wan-Neng Yang, Ying-Jie Xiao, Wen-Qiang Li, Ming-Qiu Dai, F. Qiu, Jian Zhang, Bao-Bao Wang, A. Fernie, Hai-Yang Wang, Han Zhao, Xian-Ran Li, Jianbing Yan, Tingting Guo

Molecular Plant

DOI

2025

E-CLIP: An Enhanced CLIP-Based Visual Language Model for Fruit Detection and Recognition

Yi Zhang, Yang Shao, Chengzhi Tang, Zhenqing Liu, Zhengda Li, Ruifang Zhai, Hui Peng, Peng Song

Agriculture

DOI

2025

An autonomous navigation method for field phenotyping robot based on ground-air collaboration

Zikang Zhang, Zhengda Li, Meng Yang, Jiale Cui, Yang Shao, You-Chun Ding, Wan-Neng Yang, Wen Qiao, Peng Song

Artificial Intelligence in Agriculture

DOI

2025

EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping

Shangyuan Xie, Jia-Wei Shi, Wen Li, Tao Luo, Wei-Kun Li, Lingfeng Duan, Peng Song, Xiyan Yang, Baoqi Li, Wan-Neng Yang

Artificial Intelligence in Agriculture

DOI

2025

Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework

Kai Xie, Chenxi Cui, Xue Jiang, Jian-Zhong Zhu, Jinbao Liu, Aobo Du, Wan-Neng Yang, Peng Song, Rui-Fang Zhai

Plant Phenomics

DOI

2025

PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

Meng Yang, Zhengda Li, Jiale Cui, Yang Shao, Ruifang Zhai, Wen Qiao, Wan-Neng Yang, Peng Song

Plant Phenomics

DOI

2024

基于轻量化Ghost-YOLOv8和智能手机的田间水稻有效分蘖检测方法

崔家乐，曾祥峰，任政威，孙健，汤晨，杨万能，宋鹏

《智慧农业(中英文)》

2024

A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits

Jian Sun, Zhengwei Ren, Jiale Cui, Chengzhi Tang, Tao Luo, Wan-Neng Yang, Peng Song

Plant Phenomics

DOI

2024

Autonomous navigation method based on RGB‐D camera for a crop phenotyping robot

Meng Yang, Chenglong Huang, Zhengda Li, Yang Shao, Jinzhan Yuan, Wanneng Yang, Peng Song

J. Field Robotics

DOI

2024

Accurate rice grain counting in natural morphology: A method based on image classification and object detection

Jian Sun, Haoyang Jia, Zhengwei Ren, Jiale Cui, Wan-Neng Yang, Peng Song

Computers and Electronics in Agriculture

DOI

2023

基于多源数据的马铃薯植株表型参数提取

胡松涛，翟瑞芳，王应华，刘志，朱剑忠，任荷，杨万能，宋鹏

《智慧农业(中英文)》

2023

基于水稻种粒高光谱的品质性状预测方法

赵爽，宋京燕，陈国兴，宋鹏，冯慧，杨万能

《华中农业大学学报》

2023

A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt

Chenglong Huang, Zhongfu Zhang, Xiao-Jun Zhang, Li Jiang, Xiangdong Hua, Junli Ye, Wanneng Yang, Peng Song, Longfu Zhu

Plant Phenomics

DOI

2023

Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera

Peng Song, Zhengda Li, Meng Yang, Y. Shao, Zhengcai Pu, Wanneng Yang, R. Zhai

Frontiers in Plant Science

DOI

2021

田间作物表型检测平台设计与试验

卢少志，杨蒙，杨万能，叶军立，李为坤，宋鹏

《华中农业大学学报》

DOI

2018

基于多相机成像的玉米果穗考种参数高通量自动提取方法

宋鹏，张晗，罗斌，侯佩臣，王成

《农业工程学报》

2017

玉米自动考种流水线控制系统设计——基于MCGS嵌入式组态软件

王洪稷，罗小林，宋鹏，王成，陈泉，张晗

《农机化研究》

2017

玉米高通量自动考种装置设计与试验

宋鹏，张晗，王成，罗斌，路文超，侯佩臣

《农业工程学报》

2016

红外热成像技术在作物胁迫检测方面的应用

李真，史智兴，王成，宋鹏，陈子龙，罗斌，张云丽

《农机化研究》

2013

玉米单倍体种子胚部特征提取及动态识别方法

张俊雄，武占元，宋鹏，李伟，陈绍江，刘金

《农业工程学报》

2012

基于图像形态学的骏枣果梗检测方法

肖爱玲，李伟，张俊雄，宋鹏，李传峰

《农机化研究》

宋鹏

精选作品

期刊论文

基于GA-DETR的自然场景谷类作物穗部检测方法

作物表型组学：近十年进展、挑战和展望

基于改进YOLO 11n的密集遮挡环境百香果识别方法

From on-device vision to assisted harvesting: A lightweight real-time ripeness evaluation system for truss-harvested cherry tomatoes on augmented reality glasses

Dual-Path Deep Learning and Hierarchical Spectral Clustering: A Versatile Framework for Semantic and Instance Segmentation of Plant Point Clouds

Hierarchical machine learning diagnosis framework based on multimodal flexible wearable system for early identification of plant stress with suppressed microclimate cross-interference

UMF-stomata: An unsupervised multi-focus fusion framework for microscopic stomatal phenotyping

Decoding genetic basis of nitrogen use efficiency in maize using AI-generated deep phenotypes.

E-CLIP: An Enhanced CLIP-Based Visual Language Model for Fruit Detection and Recognition

An autonomous navigation method for field phenotyping robot based on ground-air collaboration

EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping

Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework

PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

基于轻量化Ghost-YOLOv8和智能手机的田间水稻有效分蘖检测方法

A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits

Autonomous navigation method based on RGB‐D camera for a crop phenotyping robot

Accurate rice grain counting in natural morphology: A method based on image classification and object detection

基于多源数据的马铃薯植株表型参数提取

基于水稻种粒高光谱的品质性状预测方法

A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt

Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera

田间作物表型检测平台设计与试验

基于多相机成像的玉米果穗考种参数高通量自动提取方法

玉米自动考种流水线控制系统设计——基于MCGS嵌入式组态软件

玉米高通量自动考种装置设计与试验

红外热成像技术在作物胁迫检测方面的应用

玉米单倍体种子胚部特征提取及动态识别方法

基于图像形态学的骏枣果梗检测方法

研究方向