Intelligent Irrigation System Research Articles

An Intelligent Irrigation System with Voice Commands and Remote Monitoring of Field

An Intelligent Irrigation System with Voice Commands and Remote Monitoring of Field

The Design and Implementation of Orchard Long-Distance Intelligent Irrigation System Based on Zigbee and GPRS

Combining with the modern orchards’ large-scale development mode and requirements of precision agriculture construction, we designed an orchard long-distance intelligent irrigation system. GPRS network and ZigBee wireless sensor network composed of microcontroller, soil moisture sensor, zero-pressure solenoid valve and CC2430 are used in this system to transmits and control the data. By analyzing the soil’s water content of the sample and combining the advanced setting threshold, the system can send order to control the zero-pressure solenoid valve so that the long-distance control and intelligent irrigation are achieved. When puts into practice, the system shows a stable performance. It meets the design requirements in data acquisition, data transfer and long-distance control and deserves better promotion.

Intelligent Irrigation System Reliability Simulation

This paper presents the composition and working principle of a intelligent irrigation system, and studies the reliability of system. It analyzes the system's failure modes. It establishes the system simulation model by using fault tree analysis, and it uses Monte Carlo method to carry on reliability simulation. The simulation results are given. Some suggestions on improving and perfecting the system are put forward based on the results. The conclusions provide a reference for reliability and maintainability of intelligent irrigation system. It is of great significance to increase agricultural production.

INTELLIGENT IRRIGATION OF LOWBUSH BLUEBERRIES IN ATLANTIC CANADA

A four-year field study was conducted at two commercial sites in Atlantic Canada: Tracadie, New Brunswick and Debert, Nova Scotia to: 1) evaluate the use of the fully-automated Intelligent Irrigation System in the protection of lowbush blueberry plants from drought stress and spring frosts; and 2) investigate the impact of different irrigation regimes on plant vegetative and reproductive traits, vegetation dynamics and foliar diseases. The rainy conditions of the growing seasons minimized the need for irrigation and mitigated any treatment effects, thus rendering the results of the drought stress portion of the study inconclusive. However, the yield findings suggest that irrigating for frost protection holds promise where late spring frosts are common and coincide with flowering. The advisability of investing in any irrigation system for use in the commercial production of lowbush blueberries in Atlantic Canada will be dependent on emerging regional climate trends.

Intelligent irrigation performance: evaluation and quantifying its ability for conserving water in arid region

Intelligent irrigation technologies have been developed in recent years to apply irrigation to turf and landscape plants. These technologies are an evapotranspiration (ET)-based irrigation controller, which calculates ET for local microclimate. Then, the controller creates a program for loading and communicating automatically with drip or sprinkler system controllers. The main objective of this study was to evaluate the effectiveness of the new ET sensors in ability to irrigate agricultural crops and to conserve water use for crop in arid climatic conditions. This paper presents the case for water conservation using intelligent irrigation system (IIS) application technology. The IIS for automating irrigation scheduling was implemented and tested with sprinkle and drip irrigation systems to irrigate wheat and tomato crops. Another irrigation scheduling system was also installed and operated as another treatment, which is based on weather data that retrieved from an automatic weather station. This irrigation control system was running in parallel to the former system (IIS) to be control experiments for comparison purposes. However, this article discusses the implementation of IIS, its installation, testing and calibration of various components. The experiments conducted for one growing season 2009–2010 and the results were represented and discussed herein. Data from all plots were analyzed, which were including soil water status, water consumption, and crop yield. The initial results indicate that up to 25% water saving by intelligent irrigation compared to control method, while maintaining competing yield. Results show that the crop evapotranspiration values for control experiments were higher than that of ET-System in consistent trend during whole growth season. The analysis points out that the values of the two treatments were somewhat close to each other’s only in the initial development stages. Generally, the ET-System, with some modification was precise in controlling irrigation water and has been proven to be a good mean to determine the water requirements for crops and to schedule irrigation automatically.

The Design of Intelligent Water-Saving Irrigation System for Greenhouse

In the premise of ensuring the high yield of the crops in greenhouse, how to save water has became a research focus in precision agriculture. An intelligent water-saving irrigation system based on fuzzy control is designed in the paper. By the proposed system, the best water consumption can be calculated to meet the goal of high yield but low water-using. In the system, the soil moisture sensor TDR-3 is used to measuring the soil humidity data, whiles the radio frequency identification (RFID) modules, i.e., nRF905, is applied to transmit the data wirelessly. The control interface based on LABVIEW on PC is designed as well. Thus the goal of saving water consumption and querying historical data can be accomplished.

Evaluation of Soil Moisture Sensors under Intelligent Irrigation Systems for Economical Crops in Arid Regions

Problem Statement: In irrigation water management, irrigation water use represents a substantial opportunity for agriculture water savings. Automation of irrigation systems, based on Soil Moisture Sensors Systems (SMSS) has the potential to provide maximum water use efficiency by maintaining soil moisture at optimum levels. Approach: The objective of this research was to evaluate the performance of soil moisture sensors under field conditions during growing season in two different irrigated. This evaluation to be conducted with regard to accuracy; precision; quickness of the response to moisture variation. Moreover to quantify the easiness of use, this encompasses installing and operating the instrument as well as interpreting the readings. Results: The Watermark resulted in higher tension readings than the tensiometers. While Watermark showed a consistent and increasingly drier estimate of water content compared to tensiometers. However, the trend of soil water tension curves that resulted from both treatments was very similar. The linear relationships of the Soil Moisture Content (SMC) obtained from all sensors and gravimetric measurement were observed to be best fit. The correlations (R2) are ranging from 0.96-0.98 and from 0.91-0.95 for tensiometers and watermarks successively. The statistical analyses indicate that changeability existed between soil water contents by the sensors and the gravimetric method. Conclusion: Soil Moisture Sensors Systems (SMSS) can be used: To monitor soil moisture sensors under wheat crop cultivation practices using intelligent irrigation system. The tensiometers and Watermarks were less responsive to the soil drying between irrigations than GM. So, Watermark can operate in a drier range than tensiometers, but with a lower resolution at the wet end of soil water tension. Anyhow, watermark remains a good tool for automatic irrigation scheduling and be integrated with inelegant irrigation systems even the noted drawbacks.