Automatic Irrigation System Using Wsn

Is there at least something good about Yuma ? The soil, our soil is the best. Living out in the desert is crucial when it comes to summer but our irrigation system helps out with that. Without that soil we probably wouldn’t be #1 for growing the best lettuce. Not just lettuce that is the best we grow, all sorts of other vegetables and fruits. Our irrigation system is also good here. We may use up a lot of water but that’s what gets us to making our produce, good and ripe for the seasons.

The main goal of this essay is to understand the impacts of the water irrigation system, within California, United Sates. And discuss solutions that could reduce the impact on the biophysical and socio-economic environment.

Irrigation systems account for 70% of water usage in the world. By creating a new irrigation system for agriculture, the system will be focusing on using as little water necessary per plant. Farming uses a large amount of unnecessary water per plant as their current system lacks efficiency. The typical irrigation system, flood irrigation, is one of the most common irrigation systems used despite being one of the oldest. The problem with this

The automatic fire sprinkler system was one of the earliest sprinkler systems placed into effect. The origin of the modern day automatic sprinkler system dates back to the early 1800’s. The first automatic sprinkler system was created in England in the 1806 by John Carey. It consisted of a pipe with valves held closed by counterweights attached by string. When flames burned through the string the counterweight dropped to the floor, which opened the valve that released the water and extinguished the fire. As the 1800’s progressed, the basic pipe system for sprinklers was becoming more prevalent across England. It began to pop up in textile mills all through out the country. In 1864, as sprinkler system use grew, Major Stewart Harrison of

To test the water usage of the smart agricultural system, data was collected for the three different types of algorithms implemented for this project: timed based, reactive, and proactive control of the environment. The timed based algorithm turns the water pump on based only on the time of the day. The reactive algorithm turns the water pump on only if the soil moisture falls below a certain threshold. The first two algorithms only consider one type of data for their algorithms, either time or soil moisture. Comparatively, the proactive algorithm actively monitors the environmental conditions to determine the best time to turn the water pump on. The proactive algorithm monitors the soil moisture, temperature, humidity, pressure, time

Honeywell technology leads the way with their Hart and One Wireless Networks. They use asset management solutions to provide customers with ultimate flexibility. Honeywell brings immediate benefits to the industry by cost-effectiveness, empowering a mobile workforce, plant security with wireless cameras and connects remote controllers to the central control systems (3). Honeywell has always offered free and simple access to application upgrades from their websites (4). Its technology has been implemented from the field to the control room. The one wireless device has a self-discovering and self-organizing managed and secure wireless field instrument mesh network. They talk to each other and bridge the wireless network together. They use the IEEE 802.11 standard that increases the network performance and improve air quality. The instruments in the field send data through neighboring instruments back to the gateway device. This is used for non-critical monitoring and they do not require a fast update rate. The more the instruments the faster the update rate, this could be as fast as one a second. There is a pitfall to these devices and that is battery life, but this can be alleviated with adding more access points. Most of the time users get three years battery life from their field instruments while using a one second update rates.

Radio Frequency Identification (RFID) technology is commonly used for object identification and tracking. In this study we explore the feasibility of its use in wireless monitoring of water level that will serve as an early warning system for flood occurrence. To measure the level of water, water detecting sensors monitors the signal and sends it to

Water is naturally occurring, water is essential to life and every activity carried out requires water. Friis (2012) reported that humans can only survive approximately one week without water, with the average daily consumption about 2.5 liters and overall daily usage about 400 liters (Friis, 2012). Water is employed for a variety of reasons, ranging from domestic to agricultural, to industrial, to thermoelectric and so much more. Two sources of water were identified by Kenny et al. (2009) of the United States Geographical Survey (USGS), they include; surface water and groundwater, both fresh and saline. According to Kenny et al. (2009) of the USGS, water supplies and their uses are affected by factors such as demographics, economic trends, legal decisions, and climatic fluctuations. For this paper, I will focus on irrigation, one of the ways which water is used.

Abstract- Wireless sensor networks have many advantages over traditional wired sensing technology, due to their embedded construction. This technology has been used in agricultural scenario because of the need for enhancing precision, quality and quantity in farming. This paper is about developing a prototype for the system which utilized a real time wireless sensor network to communicate wirelessly with a pest management system that measures the various parameters like air temperature, air humidity and leaf wetness duration in an Apple and Picrorhiza Kurroa (Kutki) farm for the prediction of disease, Apple Scab in Apple and Powdery Mildew in Kutki. For this purpose an application software has been developed to derive a relation among

Abstract— Wireless Sensor Network broadly used for observing the environmental constraint. An automated irrigation system is developed to improve water use for agriculture yields. Energy conservation is a very critical issue in wireless sensor networks. For monitoring the energy consumption MAC protocols plays a very major role. With the help sensors and simple circuitry this work purposes low-cost product, which can be bought even by a poor farmer. The structure has a dispersed sensor nodes (SN) comprising of soil moisture, humidity and temperature sensors located in the soil and base station (BS). BS will gather data from SN. If the collected data in the BS is less than threshold value then BS will perform a needed action for irrigation. In this project, a TDMA based algorithm and single hop wireless communication are used to provide better energy efficiency. Network Simulator-3 (NS-3) has been used for the exploration of the algorithm.

The webpages are served from the Webserver and consist of HTML, CSS, JS, and JSON files. The HTML and CSS files are used for the webpages content and layout, the Javascript performs the webpages backend processing, and JSON is used for data. The Web Application performs most of its interaction with the Sensor Network through JSON files are passed between the Webserver and the Web Application. The JSON files contain labeled data that can be displayed as plots or text information. The plots are updated once every second by requesting new sensor data from the Webserver.

Abstract—Soil-Moisture sensing and automated system is an automatically water releasing system in agriculture and green house area. Here in this paper, it proposes the new structures of sensors for high sensitivity and three types of moisture level indication systems which can be easily used in fields to save the power and crop. The performance comparison made for homemade sensors and readily available sensors, sensitivity improved to the homemade sensors. The high sensitivity and consistency achieved by tin coating to the sensor electrodes. The system monitors the land moisture every time and maintains the fixed water levels by turning on and off the water motor. According to the security aspects and repeatability it is good. Its implementation is easy and low cost for affording the system

The Sensor will function during the entire growing season for any type of crop or house plant, having the potential to save between 30% and 50% of irrigation water by reducing irrigation from once every 24 hours to about every 2 to 2.5 days by sensing impending water deficit stress, the technology decreases dramatically at the start of leaf dehydration (Seelig, 2010). In a farming circumstance, one device every 8-12 hectares could precisely communicate the entire crops need for water, then with the information the user can turn on or off irrigation equipment.

In crop production the irrigation water is the most critical factor to enhance its productivity and also effective use of other non-water inputs. There is inefficient use of available resources in agriculture field in Punjab province and on other hand Punjab is encountering severe shortage of irrigation water from many decades. It is causing much lower agriculture productivity while Punjab is highly productive resource base of Pakistan. High efficiency irrigation systems (HEIS) resulted in finding water and nutrient efficient options and most appropriate ways to address various crop production related issues.

The irrigated land area of the county is more than 5700 km3. About 65% this area under major irrigation schemes managed by the Ministry if Irrigation, the rest categorised under minor irrigation schemes and responsibility is vested on the ministry of Agriculture and provincial level government. The focus of the case study