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 …

A review on smart irrigation management strategies and their effect on water savings and crop yield

S Touil, A Richa, M Fizir… - Irrigation and …, 2022 - Wiley Online Library
Appropriate irrigation water management has attracted a considerable degree of attention
because it is crucial to guarantee water and food security worldwide. A smart irrigation …

[HTML][HTML] A comprehensive and systematic study in smart drip and sprinkler irrigation systems

D Bhavsar, B Limbasia, Y Mori, MI Aglodiya… - Smart Agricultural …, 2023 - Elsevier
Many regions of the world have unpredictable rainfall, making agriculture impossible to
sustain without diverse irrigation technologies. Irrigation has a huge impact on crop …

IoT-based smart drip irrigation scheduling and wireless monitoring of microclimate in sweet corn crop under plastic mulching

S Vinod Kumar, CD Singh, KVR Rao, YA Rajwade… - Irrigation Science, 2024 - Springer
Precision irrigation with IoT-based decision-making technologies has proven effective in
optimizing agricultural production irrigation. The Internet of Things (IoT) is crucial for …

Drlic: Deep reinforcement learning for irrigation control

X Ding, W Du - 2022 21st ACM/IEEE International Conference …, 2022 - ieeexplore.ieee.org
Agricultural irrigation is a major consumer of freshwater. Current irrigation systems used in
the field are not efficient, since they are mainly based on soil moisture sensors' …

An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration

H Zhao, L Di, L Guo, C Zhang, L Lin - Sustainability, 2023 - mdpi.com
Given the increasing prevalence of droughts, unpredictable rainfall patterns, and limited
access to dependable water sources in the United States and worldwide, it has become …

Climate change impact assessment on hydrology of a small watershed using semi-distributed model

BK Pandey, AK Gosain, G Paul, D Khare - Applied Water Science, 2017 - Springer
This study is an attempt to quantify the impact of climate change on the hydrology of Armur
watershed in Godavari river basin, India. A GIS-based semi-distributed hydrological model …

Optimizing irrigation efficiency using deep reinforcement learning in the field

X Ding, W Du - ACM Transactions on Sensor Networks, 2024 - dl.acm.org
Agricultural irrigation is a significant contributor to freshwater consumption. However, the
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …

[HTML][HTML] Implementation of an in-field IoT system for precision irrigation management

Y Dong, B Werling, Z Cao, G Li - Frontiers in Water, 2024 - frontiersin.org
Due to the impact of climate change on agriculture and the emergence of water security
issues, proper irrigation management has become increasingly important to overcome the …

Insights into efficient irrigation of urban landscapes: Analysis using remote sensing, parcel data, water use, and tiered rates

KM Shurtz, E Dicataldo, RB Sowby, GP Williams - Sustainability, 2022 - mdpi.com
To understand how landscape irrigation can be better managed, we selected two urban
irrigation systems in northern Utah, USA, and performed a statistical analysis of relationships …