位置：成果数据库 > 会议 > 会议详情页
Application of artifical neural network on relationship analysis of crop yield and soil spatial dist
  • 所属机构名称：浙江大学
  • 会议名称：Proceedings of the 33. international symposium on agricultural engineering. Opatija,Croatia
  • 作者或编辑：3448
  • 第一作者单位：浙江大学
  • 语言：英文
  • 成果类型：会议
  • 相关项目：基于GPS和GIS的农田信息快速采集及管理系统研究
作者： Y. He|Y. Zhang|H. Fang|
同会议论文项目
基于GPS和GIS的农田信息快速采集及管理系统研究
期刊论文 46 会议论文 22 著作 3
同项目会议论文
The adoption of precision agriculture in eastern China. Actual Tasks on Agricultural Engineering
Study farm information acquisition by using wireless remote methods and treatment systems
Specrtal feature characterizing and nitrogen content predition in a soil with different particle siz
A New Approach to Predict N, P, K and OM Content in a Loamy Mixed Soil by Using Near Infrared Reflec
Study of Application Model on BP Neural Network Optimized by Fuzzy Clustering
Study on crop Irrigation system based on the virtual instrument technology
Study on Field Information Fast Collection System
Study on Farm Field Information on-line Measurement Instrument
A New Approach to Detect Soil Nutrient Content Based on NIR Spectroscopy Technique
Study of Rough Set Based Grey Relational BP Neural Network on Grain Yield Forecasting.
Nitrogen stress measurement of rape based on charged coupled device imaging sensor
Application of Artificial Neural Network on Relationship Analysis between Wheat Yield and Soil Nutri
Study on Gps measurement accuracy and improving methods
Gps accuracy analysis and the study of accuracy improving method
Development of a portable instrument for measuring soil water content with GPS
Improved Reconstruction Algorithm from Weighted Sampling Points in Shift-Invariant Signal Spaces
Study on the Spatial Variability and the Sampling Scheme of Soil Nutrients in the Field Based on GPS
Application of artificial neural network on analyzing relationship between soil spatial distribution
Measurement of leaf area index using image-processing technology
Study on Farm Information Acquisition by Using Wireless Remote Methods and Treatment Systems
Evaluating Soil Organic Matter with visible spectroscopy