Smart irrigation system for outdoor environment using Tiny OS

Alagupandi, P.; Ramesh, R.; Gayathri, S.

doi:10.1109/iccpeic.2014.6915348

Cited by 16 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This study proved that the automated system exhibited more promising results compared to the other system. However, WSNs consist of batterypowered nodes known for limited energy capacity [26]; as a result, several studies about solar powered nodes in irrigation were proposed as a solution to the energy constraint [20,27].…”

Section: Introductionmentioning

confidence: 99%

Linear Optimization Model for Efficient Use of Irrigation Water

Difallah

Benahmed

Draoui

et al. 2017

International Journal of Agronomy

View full text Add to dashboard Cite

The implementation of innovative and efficient irrigation techniques is among the greatest challenges facing agriculture. In this regard, a linear programming model is presented in order to optimize water use. The idea behind this model is to assess the effectiveness or ineffectiveness of precipitation to determine the amount of irrigation water required to optimize water use. To achieve this idea, the "knapsack" problem decisional form was used, and the combination of the linear programming and the above-mentioned form proved satisfactory. Field experiments were conducted in Algeria. Based on calculated budgets a model using linear programming was developed. A comparison between the model results and the field findings suggests that the model could reduce water consumption by 28.5%.

show abstract

Section: Introductionmentioning

confidence: 99%

Linear Optimization Model for Efficient Use of Irrigation Water

Difallah

Benahmed

Draoui

et al. 2017

International Journal of Agronomy

View full text Add to dashboard Cite

show abstract

“…In (5), Kp is a constant that depends on the type of soil (sandy, clay, silt, loamy, etc) Substituting (3) and (5) in (2) we get a difference equation which leads to a model of the water balance dynamic in the form:…”

Section: Deep Percolationmentioning

confidence: 99%

Optimal Irrigation Strategy using Economic Model Predictive Control

Balbis¹

2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

In many countries, irrigation water is one of the major contributors to water scarcity. In the present study, a novel optimized irrigation system which minimizes water consumption in irrigation is presented. The system is based on a predictive control algorithm, which foresees the water need of the crop, and regulates the time and amount of irrigation to maintain the soil moisture around an optimal level, while taking into account system constraints. The predictive feature of the algorithm requires a model of the soil moisture, which is obtained from the actual meteorological data of the Kingdom of Bahrain. The optimization problem is formulated as an Economic Model Predictive Control (EMPC) problem and implemented using MATLAB. The simulation experiments show that the novel system yields a reduction of water consumption around 8% and 16% compared with the PID and On-off controllers, respectively, while maintaining an optimal soil moisture level.

show abstract

“…Therefore, the microcontroller keeps its check for the environmental conditions in respect of the pre-set time most especially when the humidity drops below developed a sensor-based M2M agriculture monitoring systems for developing countries citing high level of automation and control as one of the challenges to be addressed. Also, Alagupandi et al [24] developed a smart irrigation system for outdoor environment using TinyOS while Gutierrez [25] developed an automated irrigation system using a wireless sensor network and GPRS module. These works provided a convenient platform for automation, control and tracking of irrigation activities.…”

Section: Fig 2 Ds1307 Timing Systemmentioning

confidence: 99%

Development and Optimization of an Automated Irrigation System

Daniyan¹,

Nwachukwu²,

Daniyan³

et al. 2019

JAMRIS

View full text Add to dashboard Cite

The deployment of appropriate technologies to enhance modern agricultural practices and improve crop yields is imperative for sustainability. This paper presents the development of a standalone automated irrigation system. The system design features good automation and control, which was achieved using an array of electronic timing system, soil feedback sensor and wireless communication system. Autonomous irrigation events are based on the states of the timing system, the soil feedback system and the wireless communication system. The control and automation of these systems was done using an AVR microcontroller, which was programmed to trigger intelligent and independent farm irrigation operation through a water pump attached to the system. The system also operates remotely via SMS command from mobile device and sends operational status feedback via SMS to preprogrammed mobile user(s). It also sends soil moisture condition to a remote user upon query. The system package was produced using additive manufacturing technique. The power supply system was implemented using solar power system in order to achieve a standalone, autonomous and reliable power supply necessary for an independent operation. The performance evaluation of the developed system show impressive response time, good reliability and excellent stability. Furthermore, the numerical experiment conducted using the Response Surface Methodology (RSM) produced a mathematical model for the optimization of the irrigation process for optimum performance and cost effectiveness.

show abstract

Smart irrigation system for outdoor environment using Tiny OS

Cited by 16 publications

References 1 publication

Linear Optimization Model for Efficient Use of Irrigation Water

Linear Optimization Model for Efficient Use of Irrigation Water

Optimal Irrigation Strategy using Economic Model Predictive Control

Development and Optimization of an Automated Irrigation System

Contact Info

Product

Resources

About