Data for: Development and experimental analysis of an intelligent sensor for monitoring seed flow rate based on a seed flow reconstruction technique
Published: 29 July 2019| Version 2 | DOI: 10.17632/jzkmdvtdkd.2
Contributors:
Jianping Hu, Imran ali Lakhiar, xingsheng Zhao, Wei Liu, Wei Wang, Haoran PanDescription
The Zip. file contains two subsection files: one is the programs and raw data to a proposed seed flow rate detection algorithm and the other is that to a conventional algorithm. Reviews can download the file to check detailed information we collected. The Zip. file also contains a README doc. file., which interpret the format of the raw data. The xls. file is make up of five subsection tables.Moreover, all raw and processed data corresponding to the detection information are included in it.
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Categories
Agricultural Engineering, Measurement Technique in Agriculture, Monitoring in Agriculture, Agricultural Mechanization