Next Article in Journal
Glyphosate and Saflufenacil: Elucidating Their Combined Action on the Control of Glyphosate-Resistant Conyza bonariensis
Next Article in Special Issue
Corn Grain Yield Estimation from Vegetation Indices, Canopy Cover, Plant Density, and a Neural Network Using Multispectral and RGB Images Acquired with Unmanned Aerial Vehicles
Previous Article in Journal
Microflora in the Reproductive Tract of Cattle: A Review (Running Title: The Microflora and Bovine Reproductive Tract)
Previous Article in Special Issue
ANN-Based Continual Classification in Agriculture
Open AccessArticle

Modeling the Dynamic Response of Plant Growth to Root Zone Temperature in Hydroponic Chili Pepper Plant Using Neural Networks

1
The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama, Ehime 790-8577, Japan
2
Department of Bioresources Technology and Veterinary, Universitas Gadjah Mada, Daerah Istimewa Yogyakarta 55281, Indonesia
3
Faculty of Agriculture, Ehime University, Matsuyama, Ehime 790-8577, Japan
*
Author to whom correspondence should be addressed.
Agriculture 2020, 10(6), 234; https://doi.org/10.3390/agriculture10060234
Received: 25 May 2020 / Revised: 9 June 2020 / Accepted: 16 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Artificial Neural Networks in Agriculture)
One of the essential factors in the root zone environment that affects plant growth is temperature. Determining the optimal root zone temperature condition in a hydroponic system during cultivation could lead to an improvement in plant growth. An optimal control strategy can be determined by identifying the eco-physiological process using a dynamic model. However, it is difficult to develop a dynamic model of the responses of plant growth to root zone temperature because the eco-physiological processes of plants are quite complicated. We propose an intelligent approach that can deal with this complex system. Non-linear autoregressive with exogenous input (NARX) neural networks were used to develop a dynamic model of the responses of plant growth to root zone temperature. The responses of chili pepper plant growth as affected by root zone temperature were measured during 60 days of cultivation inside a growth chamber using a non-destructive and continuous system based on a load cell. Five datasets of dynamic responses of plant growth were obtained for system identification. The results suggest that the application of a neural network is useful for modeling the dynamic response of plant growth to root zone temperature in hydroponic cultivation, with promising performance. View Full-Text
Keywords: plant growth; dynamic response; root zone temperature; dynamic model; NARX neural networks; hydroponics plant growth; dynamic response; root zone temperature; dynamic model; NARX neural networks; hydroponics
Show Figures

Figure 1

MDPI and ACS Style

Aji, G.K.; Hatou, K.; Morimoto, T. Modeling the Dynamic Response of Plant Growth to Root Zone Temperature in Hydroponic Chili Pepper Plant Using Neural Networks. Agriculture 2020, 10, 234.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop