论文题目 | 刊物名称 | 收录情况 | 卷期 | 排名 |
Retention and efficacy of ultra-low volume pesticide applications on Culex quinquefasciatus (Diptera: Culicidae)
|
Environmental Science and Pollution Research
|
SCI
|
|
1
|
面向林业病虫害防治的生物农药喷施系统研究
|
林业科学
|
EI
|
|
1
|
农药喷施过程中雾滴沉积分布与脱靶飘移研究
|
农业机械学报
|
EI
|
|
1
|
喷头雾化性能及雾滴沉积可视化模型研究
|
林业工程学报
|
|
|
1
|
喷雾飘移的风洞试验和回归模型
|
农业工程学报
|
EI
|
|
1
|
立地类型和定位方式对精确林业GPS定位性能的影响
|
南京林业大学学报
|
|
|
1
|
Testing of GPS Accuracy for Precision Forestry Applications
|
The Arabian Journal for Science and Engineering
|
SCI
|
|
1
|
A comparison of initial spray characteristics produced by agricultural nozzles
|
Crop Protection
|
SCI
|
|
1
|
农药精确施用系统信息流集成关键技术研究
|
农业工程学报
|
EI
|
|
1
|
精确林业GPS信标差分定位精度分析
|
农业工程学报
|
EI
|
|
1
|
基于YOLOv5的植物叶绿素含量估测与可视化
|
农业机械学报
|
EI
|
|
1
|
Research on profiling tracking control optimization of orchard sprayer based on the phenotypic characteristics of tree crown
|
Computers and Electronics in Agriculture
|
SCI
|
|
2
|
Estimating leaf area density of Osmanthus trees using ultrasonic sensing
|
Biosystems Engineering
|
SCI
|
|
2
|
喷雾参数间互作效应对农药雾滴飘移影响的风洞试验
|
排灌机械工程学报
|
|
|
2
|
Comparative analysis of nonlinear growth curve models for Arabidopsis thaliana rosette leaves
|
Acta Physiologiae Plantarum
|
SCI
|
|
2
|
面向植物抗旱性研究的多源表型信息采集和分析技术.
|
农业机械学报
|
EI
|
|
1
|
农药喷雾全过程性能分析及其测试技术研究进展
|
林业工程学报
|
|
|
2
|
基于农林植物表型的智能喷雾机械研究进展
|
世界林业研究
|
|
|
2
|
移动喷雾施药对杂草防治效果的风洞试验.
|
林业工程学报
|
|
|
2
|
表型技术在林木育种和精确林业上的应用
|
林业科学
|
EI
|
|
2
|
一种基于图像处理技术的植物形态表型参数获取方法
|
林业工程学报
|
|
|
2
|
植物表型平台与图像分析技术研究进展与展望
|
农业机械学报
|
EI
|
|
1
|
农药助剂对空中与地面防控林业有害生物的雾滴粒径影响研究
|
林业科学
|
EI
|
|
1
|
基于光学相机的植物表型测量系统与时序生长模型研究
|
农业机械学报
|
EI
|
|
1
|
High-throughput analysis of leaf physiological and chemical traits with VIS NIR SWIR spectroscopy a case study with a maize diversity panel
|
Plant Methods
|
SCI
|
|
2
|
基于圆柱面模型的植物冠层密度超声量化测试
|
农业机械学报
|
EI
|
|
2
|
基于林木病虫害防治的移动喷雾参数对雾滴穿透性影响分析
|
中南林业科技大学学报
|
|
|
2
|
风送转盘式生物农药离心雾化喷头的性能研究
|
浙江农林大学学报
|
|
|
2
|
转笼式生物农药雾化喷头的性能试验
|
农业工程学报
|
EI
|
|
1
|
扇形喷头雾滴粒径分布风洞试验
|
农业机械学报
|
EI
|
|
1
|
Data Fusion Technology for Precision Forestry Applications
|
American Society of Agricultural and Biological Engineers Annual International Meeting
|
EI
|
|
1
|
基于决策树技术的智能植保机械决策支持系统
|
南京林业大学学报
|
|
|
1
|
GPS 林业定位误差分析与野点剔除方法
|
农业机械学报
|
EI
|
|
1
|
智能植保机械专题数据库设计技术研究
|
农业工程学报
|
EI
|
|
1
|
Poplar seedling varieties and drought stress classification based on multi-source, time-series data and deep learning
|
Industrial Crops & Products
|
SCI
|
|
2
|
Phenotyping of drought-stressed poplar saplings using exemplar-based data generation and leaf-level structural analysis
|
Plant Phenomics
|
SCI
|
|
2
|
Evaluating drought stress response of poplar seedlings using a proximal sensing platform via multi-parameter phenotyping and two-stage machine learning
|
Computers and Electronics in Agriculture
|
SCI
|
|
2
|
水肥胁迫对基于时间序列图像的苗木表型信息的影响
|
林业科学
|
EI
|
|
2
|
基于多光谱成像与机器学习的植物叶绿素含量反演研究
|
林业科学
|
EI
|
|
2
|
Low-volume precision spray for plant pest control using profile variable rate spraying and ultrasonic detection
|
Frontiers in Plant Science
|
SCI
|
|
2
|
Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment
|
Computers and Electronics in Agriculture
|
SCI
|
|
2
|
A leaf-level spectral library to support high throughput plant phenotyping: predictive accuracy and model transfer
|
Journal of Experimental Botany
|
SCI
|
|
2
|
High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
|
Crop Journal
|
SCI
|
|
1
|
Intelligent detection of multi-class pitaya fruits in target picking row based on WGB-YOLO network
|
Computers and Electronics in Agriculture
|
SCI
|
|
1
|
零样本深度学习驱动的杨树叶片表型检测方法研究
|
林业工程学报
|
|
|
2
|
基于多视角图像形态颜色纹理特征融合的生物量获取
|
农业机械学报
|
EI
|
|
1
|
基于小样本学习和骨架提取算法的干旱胁迫杨树苗表型解析
|
农业工程学报
|
EI
|
|
2
|
基于1DCNN融合多源表型数据的杨树干旱胁迫评估方法
|
农业机械学报
|
EI
|
|
1
|
Three-dimensional quantification and visualization of leaf chlorophyll content in poplar saplings under drought using SFM-MVS
|
Forests
|
SCI
|
|
2
|
A zero-shot deep learning-supported sensing system for crop seeds and berries phenotyping
|
IEEE Sensors Journal
|
SCI
|
|
2
|