Design and Implementation of the Wheat Population Nutrition Detection System - Computer and Computing Technologies in Agriculture XI Access content directly
Conference Papers Year : 2019

Design and Implementation of the Wheat Population Nutrition Detection System

Lei Shi
  • Function : Author
  • PersonId : 988321
Qiguo Duan
  • Function : Author
  • PersonId : 988322
Mingyang Xiong
  • Function : Author
  • PersonId : 1046202
Juanjuan Zhang
  • Function : Author
  • PersonId : 1046203
Lihong Song
  • Function : Author
  • PersonId : 1046204
Xinming Ma
  • Function : Author
  • PersonId : 986517

Abstract

It will impact the overall yield and quality of wheat if the malnutrition in the wheat growing season is not timely found. Thus, it is necessary to carry out timely nutrition detection of the wheat population in the field. Based on the techniques of Java web development and image processing, this paper constructs the estimation model of the field wheat population condition, designs and implements the automatic nutrition detection and analysis system based on field wheat population images. By using the received images of crop growth group, the system detects the nutrition condition of wheat population cultivated in the field quickly, and gives assisted fertilization decision to farmers for reducing the effect of wheat malnutrition on the yield and quality of wheat.
Fichier principal
Vignette du fichier
478293_1_En_19_Chapter.pdf (429.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02111541 , version 1 (26-04-2019)

Licence

Attribution

Identifiers

Cite

Lei Shi, Qiguo Duan, Mingyang Xiong, Juanjuan Zhang, Lihong Song, et al.. Design and Implementation of the Wheat Population Nutrition Detection System. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.185-193, ⟨10.1007/978-3-030-06179-1_19⟩. ⟨hal-02111541⟩
28 View
18 Download

Altmetric

Share

Gmail Facebook X LinkedIn More