杨峰
教授、博士生导师
农业农村部西南作物生理生态与耕作重点实验室主任,中国作物学会智慧农业专业委员会副会长,中国农学会智慧农业分会副秘书长,四川省作物学会智慧农业专委会主任。主要从事作物精准栽培与智慧农业教学科研工作,承担了《智慧农业技术与应用》《作物信息技术与智慧农业》等本科生和研究生课程;以第一或通讯作者在国内外期刊上发表论文80余篇,主持国家自然科学基金面上项目、重点研发计划课题等项目10余项;参与制定国家/地方农业行业标准3项和专著2部;获四川省科技进步一等奖和神农中华农业科技奖一等奖各1项、四川省教学成果一等奖和二等奖各1项。
研究方向:作物精准栽培与智慧农业
电子邮箱:f.yang@sicau.edu.cn
【教学工作】
承担本科生《智慧农业技术与应用》等和研究生《作物信息技术与智慧农业》等课程讲授。主持省级教改项目4项,获四川省高等教育教学成果奖一等奖1项,二等奖2项,指导多项大学生科研兴趣项目和国家级大学生创新创业项目。
【科研项目】
1.国家自然科学基金面上项目“间套作大豆光合作用对光强波动环境的适应性及调控机理研究”(2021-2024),主持
2.国家自然科学基金国际合作项目任务:“带状复合种植大豆-玉米作物成熟特性辨识与目标收获产量协同评估”(2025-2027),主持
3.国家重点研究计划子课题:“植物工厂环境多模态融合的大豆快速加代与生产力监测模型构建”(2023-2028),主持
【科研成果】
1、玉米-大豆带状复合种植技术体系创建与应用,获四川省科技进步一等奖,四川省人民政府,2019年,主研。
2、多熟农作制丰产增效关键技术与集成应用,获神农中华农业科技一等奖,农业农村部,2018-2019年,主研。
3、耐荫高产高蛋白套作大豆新品种的选育及配套技术研究与应用,获中华农业科技奖一等奖,农业农村部,2015年,主研。
4、玉米大豆带状复合种植技术研究与应用,获中国作物科技奖,中国作物学会,2017年,主研。
【代表性论文】
Zhaohong Lu, Chenyao Yang, Zhonglin Wang, Xianming Tan, Jiawei Zhang, Junxu Chen, Jing Gao, Qi Wang, Jie Zhang, Xintong Wei, Jiaqi Zou, Feng Yang*, Wenyu Yang. Synergistic estimation of photosynthetic pigments in maize based on leaf area index: from leaf spectrum to canopy spectrum[J]. Precision Agriculture, 2026, 27:3.
Chenyao Yang, Na Lei, Christoph Menz, Andrej Ceglar, Jairo Arturo Torres-Matallana, Siqi Li, Yanling Jiang, Xianming Tan, Lei Tao, Fang He , Shigui Li, Bing Liu, Feng Yang*, Helder Fraga, João A. Santos. Regional uncertainty analysis between crop phenology model structures and optimal parameters[J]. Agricultural and Forest Meteorology, 2024, 355: 110137.
Zhonglin Wang, Junxu Chen, Jiawei Zhang, Xianming Tan, Muhammad Ali Raza, Jun Ma, Yan Zhu, Feng Yang*, Wenyu Yang. Assessing canopy nitrogen and carbon content in maize by canopy spectral reflectance and uninformative variable elimination. The Crop Journal, 2022.
Tingting Tan, Shenglan Li, Yuanfang Fan, Zhonglin Wang, Muhammad Ali Raza, Iram Shafiq, Beibei Wang, Xiaoling Wu, Taiwen Yong, Xiaochun Wang, Yushan Wu, Feng Yang, Wenyu Yang. Far-red light: A regulator of plant morphology and photosynthetic capacity. The Crop Journal, 2022, 10: 300-309.
Wang Zhonglin, Chen Junxu, Zhang Jiawei, Fan Yuanfang, Cheng Yajiao, Wang Beibei, Wu Xiaoling, Tan Tingting, Li Shenglan, Muhammad Ali Raza, Wang Xiaochun, Yong Taiwen, Liu Weiguo, Liu Jiang, Du Junbo, Wu Yushan, Yang Wenyu*, Yang Feng*. Predicting grain yield and protein content using canopy reflectance in maize grown under different water and nitrogen levels [J]. Field Crops Research, 2021, 260: 107988.
Iram Shafiq, Yang Wenyu, Yang Feng*. Crop photosynthetic response to light quality and light intensity. Journal of Integrative Agriculture, 2021, 20: 4-23.
Muhammad Ali Raza, Hina Gul, Jun Wang, Hassan Shehryar Yasin, Ruijun Qin, Muhammad Hayder Bin Khalid, Muhammd Naeem, Ling Yang Feng, Nasir Iqbal, Harun Gitari, Shakeel Ahmad, Martin Battaglia, Muhammad Ansar, Feng Yang*, Wenyu Yang*. Land productivity and water use efficiency of maize-soybean strip intercropping systems in semi-arid areas: A case study in Punjab Province, Pakistan. Journal of Cleaner Production, 2021, 308, 127282.
Iram Shafiq, Yang wenyu, Yang Feng*. Effect of simultaneous shade and drought stress on morphology, leaf gas exchange, and yield parameters of different soybean cultivars. Photosynthetica, 2020, 58(5): 1200-1209.
Yuanfang Fan, Zhonglin Wang, Dunping Liao, Muhammad Ali Raza, Beibei Wang, Jiawei Zhang, Junxu Chen, Lingyang Feng, Xiaoling Wu, Chunyan Liu, Wenyu Yang*, Feng Yang*. Uptake and utilization of nitrogen, phosphorus and potassium as related to yield advantage in maize-soybean intercropping under different row configurations. Scientific Report, 2020, 10: 9504.
Zhonglin Wang, Junxu Chen, Yuanfang Fan, Yajiao Cheng, Xiaoling Wu, Jiawei Zhang, Beibei Wang, Xiaochun Wang, Taiwen Yong, Weiguo Liu, Jiang Liu, Junbo Du, Wenyu Yang, Feng Yang*. Evaluating photosynthetic pigment contents of maize using UVE-PLS based on continuous wavelet transform. Computers and Electronics in Agriculture, 2020, 169: 105160.
Feng Yang, Qinlin Liu, Yajiao Cheng, Lingyang Feng, Xiaoling Wu, Yuanfang Fan, Muhammad Ali Raza, Xiaochun Wang, Taiwen Yong, Weiguo Liu, Jiang Liu, Junbo Du, Kai Shu, Wenyu Yang*. Low red/far-red ratio as a signal promotes carbon assimilation of soybean seedlings by increasing the photosynthetic capacity. BMC Plant Biology, 2020, 20:148.
谭先明,张佳伟,王仲林,谌俊旭,杨峰*,杨文钰. 基于PLS的不同水氮条件下带状套作玉米产量预测[J]. 中国农业科学,2022,55(6):1127-1138.
张佳伟,王仲林,谭先明,王贝贝,杨文钰,杨峰*.基于小波变换的带状套作玉米叶面积指数光谱估测[J].四川农业大学学报,2021,3 9(2):149-156.
【授权专利】
1. 发明专利:一种基于玉米大豆本体信息的精准施肥灌溉方法及系统。杨峰,鲁兆宏,谭先明,张洁,王磊,韦新彤,杨宸尧,杨文钰. ZL202510160796.5
2. 发明专利:一种智能化茶芽检测系统与管理方法。杨峰,张洁,彭海林,朱亚宁,朱肖阳,谭礼强,汤丹丹,李坤鸿,谭先明,吴雨珊,张植焰、蓝艺,杨宸尧. ZL202510202719.1.
3. 发明专利:一种组装式田间移动遥感监测系统。杨峰,谌俊旭,王仲林,范元芳,程亚娇,杨文钰. ZL20171422602.6.
4. 发明专利:一种大豆叶片的光合色素测定方法及系统。杨峰,杨文钰,张勇,黄山,武晓玲,雍太文,王小春,刘卫国,刘江,杜俊波. ZL201410355544.X.
5. 发明专利:用于测定间套作大豆冠层光谱数据的测定装置。杨峰,杨文钰,黄山,武晓玲,刘卫国,雍太文,王小春,王锐,杜俊波,刘江. ZL201410100597.7.
6. 软件著作权:玉米和大豆病虫害识别与预警预报系统, 2025SR0645603.
7. 软件著作权:水稻病虫害动态智能识别与预警系统, 2025SR0653062.
8. 软件著作权:基于物联网和无人机视觉技术的作物表型分析系统, 2024SR0530265.
9. 软件著作权:基于多源数据的大豆生育时期识别系统, 2024SR0530317.
10. 软件著作权:玉米大豆植株混合信息盖度提取软件, 2017SR726135.
11. 软件著作权:玉米产量品质光谱估测分析软件, 2020SR1750206.
12. 软件著作权:基于物联网图像数据的作物养分监测软, 2022SR0976677