A review on monitoring and advanced control strategies for precision irrigation

EA Abioye, MSZ Abidin, MSA Mahmud… - … and Electronics in …, 2020 - Elsevier
The demand for freshwater is on the increase due to the rapid growth in the world's
population while the effect of global warming and climate change cause severe threat to …

Irrigation scheduling approaches and applications: A review

Z Gu, Z Qi, R Burghate, S Yuan, X Jiao… - Journal of Irrigation and …, 2020 - ascelibrary.org
In an effort to improve plant growth and to achieve high yield and/or quality, irrigation
scheduling (IS) seeks to provide plants with appropriate quantities of water at appropriate …

Towards precision agriculture: IoT-enabled intelligent irrigation systems using deep learning neural network

PK Kashyap, S Kumar, A Jaiswal, M Prasad… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Recently, precision agriculture has gained substantial attention due to the ever-growing
world population demands for food and water. Consequently, farmers will need water and …

[HTML][HTML] Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling

O Adeyemi, I Grove, S Peets, Y Domun, T Norton - Sensors, 2018 - mdpi.com
Sustainable freshwater management is underpinned by technologies which improve the
efficiency of agricultural irrigation systems. Irrigation scheduling has the potential to …

Research on automatic irrigation control: State of the art and recent results

R Romero, JL Muriel, I García, DM de la Peña - Agricultural water …, 2012 - Elsevier
Availability of fresh water is one of the elementary conditions for life on Earth, however,
water is a limited resource, which is now under an unprecedented pressure by global …

Irrigation control based on model predictive control (MPC): Formulation of theory and validation using weather forecast data and AQUACROP model

D Delgoda, H Malano, SK Saleem… - … Modelling & Software, 2016 - Elsevier
This research proposes A THEORETICAL FRAMEWORK based on model predictive control
(MPC) for irrigation control to minimize both root zone soil moisture deficit (RZSMD) and …

Simulation of irrigation control strategies for cotton using Model Predictive Control within the VARIwise simulation framework

AC McCarthy, NH Hancock, SR Raine - Computers and electronics in …, 2014 - Elsevier
Abstract Model-based control strategies applied to irrigation make decisions (on water
application and/or timing) using a crop and/or soil production model. Decisions are made …

Soil moisture regulation of agro-hydrological systems using zone model predictive control

Y Mao, S Liu, J Nahar, J Liu, F Ding - Computers and Electronics in …, 2018 - Elsevier
In this paper, we consider input-output model identification and zone model predictive
control of agro-hydrological systems. Specifically, we consider an agro-hydrological system …

Model predictive control for real-time irrigation scheduling

SK Saleem, DK Delgoda, SK Ooi… - IFAC Proceedings …, 2013 - Elsevier
Irrigation underpins agricultural productivity. The purpose of irrigation is to match water
supply to crop water demand. The effectiveness of irrigation depends on the quality of the …

Advanced process control of irrigation: the current state and an analysis to aid future development

AC McCarthy, NH Hancock, SR Raine - Irrigation Science, 2013 - Springer
Control engineering approaches may be applied to irrigation management to make better
use of available irrigation water. These methods of irrigation decision-making are being …