个人简介
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副教授，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20余篇（中科院一区，TOP论文12篇），授权国家发明专利5项。
教育经历
2012.09.01-2016.07.01，工学博士学位，中国农业大学，农业信息化技术
2010.09.01-2012.06.25，农业推广硕士专业学位，中国农业大学，农业信息化
2006.09.01-2010.07.01，管理学学士学位，中国农业大学，土地资源管理
工作经历
2023.05.29，中国农业大学
2016.07.05-2023.05.29，中国农业科学院农业环境与可持续发展研究所
学术奖励
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
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
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
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
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
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
近期论文
查看导师最新文章
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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., Liu, B., Ji, L., Zhu, Z., Wu, Y., Jiao, W. CAAS 1
Estimating daily minimum grass temperature to quantify frost damage to winter wheat during stem elongation in the central area of Huang-Huai plain in China Environmental Science and Pollution Research SCI 2023 Wu, Y., Gong, Z., Ji, L., Ma, J CAAS 通讯
Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severity Plant Methods SCI 2022 Li, K., Zhang, L., Li, B., Li, S., Ma, J. 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., Liu, B., Gong, Z., Hu, X., Ma, J., Ren, D., Liu, H., Ni, 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., Li, Y., Liu, H., Wu, Y., Zhang, L. 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., Liu, H., Ma, J., Zhang, L. 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., Ma, Y., Hu, X., Ma, J., Zhao, H., Ren, D. 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., Li, Y., Liu, H., Du, K., Zheng, F., Wu, Y., Zhang, L. CAAS 1
Growth monitoring of greenhouse lettuce based on a convolutional neural network Horticulture Research SCI 2020 Zhang, L., Xu, Z., Xu, D., Ma, J. 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., Li, Y., Du, K., Zheng, F., Zhang, L., Gong, Z., Jiao, W. 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., Li, Y., Chen, Y., Du, K., Zheng, F., Zhang, L., Sun, Z. 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., Du, K., Zheng, F., Zhang, L., Gong, Z., Sun, Z. 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., Du, K., Zhang, L., Zheng, F., Chu, J., Sun, Z. CAAS 1
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