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 …

Model predictive control and its application in agriculture: A review

Y Ding, L Wang, Y Li, D Li - Computers and Electronics in Agriculture, 2018 - Elsevier
Agriculture plays a decisive role in the survival of humankind. The efficient and precise
regulation of agriculture will ensure the welfare of people throughout the world. However …

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 …

Advanced monitoring and management systems for improving sustainability in precision irrigation

O Adeyemi, I Grove, S Peets, T Norton - Sustainability, 2017 - mdpi.com
Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity
is increasing worldwide, resulting in tighter regulation of its use for agriculture. This …

A data-driven robust optimization approach to scenario-based stochastic model predictive control

C Shang, F You - Journal of Process Control, 2019 - Elsevier
Stochastic model predictive control (SMPC) has been a promising solution to complex
control problems under uncertain disturbances. However, traditional SMPC approaches …

[HTML][HTML] Data-driven model predictive control for precision irrigation management

E Bwambale, FK Abagale, GK Anornu - Smart Agricultural Technology, 2023 - Elsevier
The future of agriculture faces a threat from a changing climate and a rapidly growing
population. This has put enormous pressure on water and land resources as more food is …

Data-driven water need estimation for IoT-based smart irrigation: A survey

R Togneri, R Prati, H Nagano, C Kamienski - Expert Systems with …, 2023 - Elsevier
Precision irrigation plays an important socio-economic and environmental role in our
society, reducing water and electricity consumption and increasing food production. An …

Smart farm irrigation: Model predictive control for economic optimal irrigation in agriculture

G Cáceres, P Millán, M Pereira, D Lozano - Agronomy, 2021 - mdpi.com
The growth of the global population, together with climate change and water scarcity, has
made the shift towards efficient and sustainable agriculture increasingly important …

Robust model predictive control of irrigation systems with active uncertainty learning and data analytics

C Shang, WH Chen, AD Stroock… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We develop a novel data-driven robust model predictive control (DDRMPC) approach for
automatic control of irrigation systems. The fundamental idea is to integrate both mechanistic …