马浚诚

马浚诚，男，博士，中国科协第四届青年托举人才，2023年中国农业大学青年研究员引进，现任中国农业大学水利与土木工程学院研究员，硕士生导师，主要从事农业生物信息智能感知方法研究；2016年毕业于中国农业大学信息与电气工程学院，获工学博士学位，2014年9月-2015年9月，获得国家留学基金委资助，赴Oklahoma State University进行联合培养，师从国际知名华人农业工程专家Ning Wang教授；以第一/通讯作者在《Computers and Electronics in Agriculture》、《Expert Systems With Applications》、《Horticulture Research》、《Field Crops Research》、《European Journal of Agronomy》和《农业工程学报》等期刊发表SCI/EI论文30余篇（中科院一区，TOP论文17篇，单篇最高引用超过600次），授权国家发明专利6项。

1、科研与学术工作经历

（1）2023-06至今，中国农业大学水利与土木工程学院，农业建筑与环境工程系，副教授

（2）2021-01至2023-05，中国农业科学院农业环境与可持续发展研究所，农业减灾研究室，副研究员

（3）2017-07至2020-12，中国农业科学院农业环境与可持续发展研究所，农业减灾研究室，助理研究员

2、主持的科研项目/课题

（1）宁夏回族自治区重点研发计划，重点项目课题，2024BBF02027，奶牛典型传染病智能识别模型与预警系统，2025.1-2027.12，33万，在研，主持

（2）国家自然科学基金委员会，面上项目，32371998，农田尺度具有场景自适应能力的冬小麦产量预测方法研究，2024-01-01至2027-12-31，50万元，在研，主持

（3）国家自然科学基金委员会，青年科学基金项目，31801264，基于时序图像分析的冬小麦苗期冠层生长动态监测方法研究，2019-01-01至2021-12-31，23万元，结题，主持

（4）中国科学技术协会，人才项目，2018QNRC001，中国科协青年人才托举工程第四届项目，2018-07至2021-12，45万元，结题，主持

（5）农业农村部农业信息化标准化重点实验室，纵向项目，AIS2018-01，设施蔬菜病害识别与诊断物联网技术标准研究，2018-06至2020-05，2万元，结题，主持

3、代表性论著

（1）On field recognition of pig cough based on multimodal audio representation and fusion with contrastive learning [J]. Computers and Electronics in Agriculture, 2025,238: 110842. （第一作者，中科院一区，TOP，IF=8.9）

（2）Multi-posture RGB-D image fusion for weight estimation of unconstrained pigs in group housing conditions[J]. Computers and Electronics in Agriculture, 2026, 246, 111598. （第一作者，中科院一区，TOP，IF=8.9）

（3）Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103292. (第一作者，中科院一区，TOP，IF=8.6)

（4）Growth monitoring of greenhouse lettuce based on a convolutional neural network. Horticulture Research, 2020, 7: 124, 2020-12.（通讯作者，中科院一区，TOP，JCR Horticulture类排名第一，IF=8.5）

（5）A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network. Computers and Electronics in Agriculture, 2018, 154: 18–24, 2018-11. （第一作者，中科院一区，TOP，JCR Agriculture Multidisciplinary类排名第一，IF=8.9，ESI计算机类高被引论文）

4、学术奖励

（1）马浚诚（7/11），面向移动终端的农业信息智能获取关键技术及应用，教育部，科技进步，省部级二等奖，2015

（2）马浚诚（10/20），蔬菜病害识别诊断与预警物联网关键技术研究与示范，大北农集团，创新奖，其他，2015

（3）马浚诚（1/5），《基于卷积神经网络的温室黄瓜病害识别系统》，科技部中国科技信息研究所，2021年度中国精品科技期刊顶尖论文—领跑者5000，2021

（4）马浚诚（1/5），《基于卷积神经网络的温室黄瓜病害识别系》，中国科学文献计量评价中心，学术精要（2022年10-11月）高PCSI论文、高被引论文、高下载论文，2022

（5）马浚诚（通讯作者，4/5）,《基于卷积神经网络的冬小麦麦穗检测计数系统》，农业机械学报杂志社，优秀论文奖，2022

（6）马浚诚（1/6）,《基于图像处理的温室黄瓜霜霉病诊断系统》，农业机械学报杂志社，优秀论文奖，2019

 国际期刊《Agronomy》专刊 "Computer Vision and Deep Learning Technology in Agriculture"客座编辑

（1）畜禽多模态信息动态融合理论方法

（2）畜禽生理行为主动感知、健康异常“早发现”技术

（3）智能巡检机器人与畜禽养殖大模型

本科生课程：近十年课程数据
研究生课程：近十年课程数据

论文题目	刊物名称	收录类别	发表年月	第一作者或全部作者	第一作者单位	排名
Towards Smart Health Monitoring: Multimodal Sensing and Intelligent Disease Diagnosis in Poultry and Livestock	Animal Frontiers	SCI	2026	Ma, J.	China Agricultural University	1
Multi-posture RGB-D image fusion for weight estimation of unconstrained pigs in group housing conditions	Computers and Electronics in Agriculture	SCI	2026	Ma, J.	China Agricultural University	1
On field recognition of pig cough based on multimodal audio representation and fusion with contrastive learning	Computers and Electronics in Agriculture	SCI	2025	Ma, J.	China Agricultural University	1
Dual cross-modality fusion boosts the RGBD-based lettuce fresh weight estimation	Computers and Electronics in Agriculture	SCI	2025	Ma, J.	China Agricultural University	1
Rule-based year-round model predictive control of greenhouse tomato cultivation: A simulation study	Information Processing in Agriculture	SCI	2024	Xu, D.	China Agricultural University	通讯
Rapid evaluation of drought tolerance of winter wheat cultivars under water-deficit conditions using multi-criteria comprehensive evaluation based on UAV multispectral and thermal images and automatic noise removal	Computers and Electronics in Agriculture	SCI	2024	Wu, Y.	CAAS	通讯
Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery	International Journal of Applied Earth Observation and Geoinformation	SCI	2023	Ma, J.	CAAS	1
Attention-optimized DeepLab V3+ for automatic estimation of cucumber disease severity	Plant Methods	SCI	2022	Li, K	China Agricultural University	通讯
Predicting yield loss in winter wheat due to frost damage during stem elongation in the central area of Huang-huai plain in China	Field Crops Research	SCI	2021	Wu, Y.	CAAS	通讯
Towards improved accuracy of UAV-based wheat ears counting: A transfer learning method of the ground-based fully convolutional network	Expert Systems with Applications	SCI	2021	Ma, J.	CAAS	1
Estimation of leaf area index for winter wheat at early stages based on convolutional neural networks	Computers and Electronics in Agriculture	SCI	2021	Li, Y.	China Agricultural University	通讯
Narrow-waveband spectral indices for prediction of yield loss in frost-damaged winter wheat during stem elongation	European Journal of Agronomy	SCI	2020	Wu, Y.	CAAS	通讯
Improving segmentation accuracy for ears of winter wheat at flowering stage by semantic segmentation	Computers and Electronics in Agriculture	SCI	2020	Ma, J.	CAAS	1
Growth monitoring of greenhouse lettuce based on a convolutional neural network	Horticulture Research	SCI	2020	Zhang, L.	China Agricultural University	通讯
Segmenting ears of winter wheat at flowering stage using digital images and deep learning	Computers and Electronics in Agriculture	SCI	2019	Ma, J.	CAAS	1
Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network	European Journal of Agronomy	SCI	2018	Ma, J.	CAAS	1
A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network	Computers and Electronics in Agriculture	SCI	2018	Ma, J.	CAAS	1
A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing	Computers and Electronics in Agriculture	SCI	2017	Ma, J.	CAAS	1
A segmentation method for processing greenhouse vegetable foliar disease symptom images	Information Processing in Agriculture	SCI	2018	Ma, J.	CAAS	1
A key frame extraction method for processing greenhouse vegetables production monitoring video	Computers andlectronics in Agriculture	SCI	2015	Ma, J.	China Agricultural University	1

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