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Design and Implementation of the Wheat Population Nutrition Detection System

  • 2019
  • OriginalPaper
  • Chapter
Published in:
Authors
Lei Shi
Qiguo Duan
Mingyang Xiong
Juanjuan Zhang
Lihong Song
Xinming Ma
Published in
Computer and Computing Technologies in Agriculture XI
Publisher
Springer International Publishing

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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.

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previous chapter Comparison of Remote Sensing Estimation Methods for Winter Wheat Leaf Nitrogen Content
next chapter Hyperspectral Estimation Methods for Chlorophyll Content of Apple Based on Random Forest
Title
Design and Implementation of the Wheat Population Nutrition Detection System
Authors
Lei Shi
Qiguo Duan
Mingyang Xiong
Juanjuan Zhang
Lihong Song
Xinming Ma
Copyright Year
2019
Book
Computer and Computing Technologies in Agriculture XI

Print ISBN: 978-3-030-06178-4

Electronic ISBN: 978-3-030-06179-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-06179-1_19
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