朱月明，工学博士，智慧农业专业教师。研究领域包括人工智能算法研发与应用、智能视觉系统研发、大数据智能处理、无人机低空遥感、智能物联网与智能装备研发。授权发明专利6件，完成核心技术转让1项。主讲《农业大数据理论与实践》、《农业信息学》、《智慧农业综合实习-智能硬件开发》课程。
教育经历
2017.09-2022.09 浙江大学，农业工程，工学博士
2010.09-2013.06 兰州大学，计算机系统结构，硕士
2006.09-2010.06 兰州大学，草业科学，本科
代表性论文
[1] Zhu Y, Xia X, Zhou J, et al. Detection and gradation of sweet potato storage roots by machine vision and deep learning[J]. Smart Agricultural Technology, 2026, 14: 101962.
[2] 朱月明, 陆国权, 吕尊富, 等. 深挖薯类综合潜力，释放新质生产动能[J/OL]. 作物杂志, 2026: 1-13.
[3] Zhu Y, Abdalla A, Tang Z, et al. Improving rice nitrogen stress diagnosis by denoising strips in hyperspectral images via deep learning[J]. Biosystems Engineering, 2022, 219: 165-176.
[4] Zhu Y, Cen H, El-Manawy A I, et al. A feature extraction method based on deep learning using hyperspectral imaging for the evaluation of oilseed rape canopy nitrogen content grades[C]//2019 ASABE Annual International Meeting. Boston: American Society of Agricultural and Biological Engineers, 2019.
[5] Zhu Y, Zhang R, Hu R, et al. An improved Web Service recommendation and consumption approach[C]//2012 Seventh ChinaGrid Annual Conference. Beijing: IEEE, 2012: 115-120.
联系方式
zhuym@zafu.edu.cn
