Research on Water-Fertilizer Integrated Technology Based On Neural Network Prediction and Fuzzy Control

Water-fertilizer integrated technology based on neural network prediction control and fuzzy control combines fertilization with irrigation precisely. Water- soluble solid or liquid fertilizers are mixed together by irrigation equipment, which can be precisely transported to crop roots and greatly im...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2018-07, Vol.170 (3), p.32168
Main Authors: Sun, Fengshen, Ma, Weishun, Li, Heju, Wang, Songhong
Format: Article
Language:English
Subjects:
Artificial neural networks
Control systems
Fertilization
Fertilizers
Fuzzy control
Fuzzy logic
Integration
Irrigation
Irrigation efficiency
Irrigation water
Liquid fertilizers
Neural networks
Predictions
Technology
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Water-fertilizer integrated technology based on neural network prediction control and fuzzy control combines fertilization with irrigation precisely. Water- soluble solid or liquid fertilizers are mixed together by irrigation equipment, which can be precisely transported to crop roots and greatly improved fertilization and irrigation efficiency. Through the neural network prediction control and fuzzy control, the dynamic management control system of time-varying nonlinear models can be set up to achieve more accurate control. This paper will elaborate the definition of neural network prediction and fuzzy control, the development history and current statues of water-fertilizer integration, the control on irrigation amount, the control on fertilizer amount and the ratio of fertilizer solution, the control on mixed system of fertilizer solution, and the application effect of water-fertilizer integration under the neural network prediction and fuzzy control, to gradually explain how to carry out research on water-fertilizer integration based on neural network prediction and fuzzy control.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/170/3/032168