Design and Implementation of Automated Irrigation Control System using WSN: An overview

Agriculture plays an important role in Indian economy. It is the biggest water user with the irrigation accounting for 70 percent of global water usage. It is assumed that without improved efficiency of water usage, the consumption of agriculture water can increase by 20 percent by 2050 at global level. In our country rainfall controls the agriculture; but the rainfall is non-uniform and irregular. This creates hassle in irrigation which badly affects the agriculture produce. This paper reviews different smart irrigation methods to achieve the efficiency in water use, higher production levels, low cost, decreased manpower requirements, higher reliability in water supply and certainly higher profits to farmers. The smart irrigation system should be cost effective so that the farmers can use it in the farm field

Cloud based Smart Irrigation for Agricultural Area of Pakistan

A beneficial product of Smart Irrigation for Agricultural Area of Pakistan has been presented in this paper. Pakistan stands in need of a participatory solution that is efficiently workable, sustainable, and profitable, to develop the way for the agricultural sector by improving crop productivity with minimum water loss. The goal of this project is to introduce Cloud support to the Smart Irrigation System for Agricultural Area of Pakistan. To achieve this objective Wireless Sensor Network (WSN) is used to determine how much water to apply and when to irrigate. The system is divided into four main modules, i.e. Sensor node, Coordinator node, Server Module and Web Application. On the basis of acquired parameters from the WSN, the software application is programmed to take intelligent decisions increase the efficiency of the agricultural system

Smart Farming- Drip Irrigation Controlled using LR-WPAN with hybrid Power

Agricultural sectors always need technology to get higher yields. Wireless Sensor Technology with LR-WPAN gives the opportunity to control the plat with minimum cost. In this paper, we developed a system that optimally waters agricultural crops based on a wireless sensor network technology. The scope in this paper consists of two main components: a hybrid power source and a communication system between end nodes with the gateway. The first component was designed and implemented in control box hardware using PLC (Programmable Logic Controller) to generate the power to all components (microcontroller, sensor, and actuator). The second is transmission data from end node to gateway by utilizing Zigbee protocol. The automation uses data from three soil moisture sensors as a trigger to the ON/OFF solenoid valve for watering the field. It may conclude that the system can work properly, the data from the field was sent real-time. Also, the hybrid power was working properly to supply power

A fuzzy logic micro-controller enabled system for the monitoring of micro climatic parameters of a greenhouse

Motivation behind this master dissertation is to introduce a novel study called " A fuzzy logic micro-controller enabled system for the monitoring of micro-climatic parameters of a greenhouse" which is capable of intelligently monitoring and controlling the greenhouse climate conditions in a preprogrammed manner. The proposed system consists of three stations: Sensor Station, Coordinator Station, and Central Station. To allow for better monitoring of the climate condition in the greenhouse, fuzzy logic controller is embedded in the system as the system becomes more intelligent with fuzzy decision making. The sensor station is equipped with several sensor elements such as MQ-7 (Carbon monoxide sensor), DHT11 (Temperature and humidity sensor), LDR (light sensor), grove moisture sensor (soil moisture sensor). The communication between the sensor station and the coordinator station is achieved through XBee wireless modules connected to the Arduino Mega and the communication between coordinator station and the central station is also achieved via XBee wireless modules connected to the Arduino Mega. The experiments and tests of the system were carried out at one of IKHALA TVET COLLEGE’s greenhouses that is used for learning purposes by students studying agriculture at the college. The purpose of conducting the experiments at the college’s green house was to determine the functionality and reliability of the designed wireless sensor network using ZigBee wireless technology. The experiment result indicated that XBee modules could be used as one solution to lower the installation cost, increase flexibility and reliability and create a greenhouse management system that is only based on wireless nodes. The experiment result also showed that the system became more intelligent if fuzzy logic was used by the system for decision making. The overall system design showed advantages in cost, size, power, flexibility and intelligence. It is trusted that the results of the project will give the chance for further research and development of a low cost greenhouse monitoring system for commercial use.Electrical and Mining EngineeringM. Tech. (Electrical Engineering

Arduino Based Automatic Irrigation System

In the present days, the farmers are suffering from severe drought like condition throughout the year. The main objective of this paper is to provide a system leads to automatic irrigation thereby saving time, money & power of the farmers, gardeners in greenhouses etc. Manual intervention is common in traditional farm-land irrigation techniques. This paper presents a technique for Arduino based Automatic Irrigation System. With this automated technology of irrigation, human intervention can be minimized. The moisture sensors will be bedded in on the field. Whenever there is a change in water concentration, these sensors will sense the change and gives an interrupt signal to the microcontroller. Soil is one of the most fragile resources whose soil pH property used to describe the degree of the acidity or basicity, which affects nutrient availability and ultimately plant growth. Thus, the system will provide automation, remote controlling and increased efficiency. The humidity sensor is connected to internal ports of microcontroller via comparator; whenever there is a fluctuation in temperature and humidity of the environment, these sensors sense the change in temperature and humidity and give an interrupt signal to the micro-controller and thus the motor is activated. A buzzer is used to indicate that the pump is on

A New Method for Battery Lifetime Estimation Using Experimental Testbed for Zigbee Wireless Technology

Many Zigbee-based wireless sensor networks have been developed for outdoor applications such as agriculture monitoring. The main attractiveness of Zigbee wireless module is in its potential to set up self-organizing network that requires no network backbone and extremely low cost with low-power wireless networking. Many simulations have been performed for testing the capabilities of wireless communication device and the battery lifetime. However, the results from the simulation do not capture the actual environment effects and the simulators allow users to isolate certain factors by tuning to different parameters. This paper provides experimental results on actual voltage drop using Zigbee protocol devices when communicating temperature, humidity and soil moisture data using a 900mAh battery both in indoor and outdoor environments. It is observed that the wireless nodes are capable of relaying data up to 143 meters on unobstructed line of sights in an outdoor environment with some observation of packet drop. The results differ from previous researches that perform the experiments on shorter range which only covers 50 cm distance between transmitter node and receiver node for 2 bytes of data transfer. The paper proposes a new method for battery lifetime estimation which is derived from number of times data packet can be transmitted. This study also suggests to conduct experiment by including the environmental factors to capture the actual performance of wireless device and the impact to packet drop. The experiment concludes the suitability of Zigbee wireless communication for short-range applications of up to 143 meters which is significantly farther than other reported experiments

WSN based Automated Irrigation Control System

The main aim of this work is to provide an automated irrigation system for the farmer on the basis of wireless sensor network. The challenge is to develop such an irrigation control system that makes efficient usage of water and also must be cost effective. To calculate plant’s water requirement, it is important to measure different parameters. This system continuously monitors the parameters- temperature, humidity, and moisture of soil to which crops are susceptiveAn algorithm was developed with threshold values of soil moisture to be maintained continuously. System starts or stops irrigation based on moisture content of the soil. The tests were conducted on three crops- green chili, marigold and tomato. With the help of this system, water supply was reduced by 20- 30%, while crop yield was found to be slightly increased

Literature Review on IOT Based Smart Security and Monitoring Devices for Agriculture

A smart way of automating farming process can be called as Smart Agriculture. By implying an automated system it possible to eliminate threats to the crops by reducing the human intervention. The major emphasize will be on providing favorable atmosphere for plants. These agricultural automated systems will help in managing and maintain safe environment especially the agricultural areas. Environment real time monitoring is an important factor in smart farming. Graphical User Interface based software will be provided to control the hardware system and the system will be entirely isolated environment, equipped with sensors like temperature sensor, humidity sensor. The controllers will be managed by a master station which will communicate with the human interactive software. The system will provide smart interface to the farmers. This smart system can increase the level of production than the current scenario. This system will realize smart solution for agriculture and efficientlysolve the issues related to farmers. The environment will not be the barrier for production and growth of any plant and can overcome the problem of scarcity of farming production

Cloud-based Internet of Things Approach for SmartIrrigation System: Design and Implementation

Water plays a significant role in the economic de-velopment of countries. The agriculture sector is the most water-consuming; this sector consumes 69% of the freshwater. However,farmers often use traditional irrigation systems to water theircrops. These systems are ineffective and consume a lot of timeand effort, especially when there are several fields distributedin different geographical regions. Therefore, employing smartirrigation techniques will significantly overcome these problems.In this paper, we propose an intelligent irrigation frameworkbased on Wireless Sensor Network (WSN) and Internet of Things(IoT) cloud services. The proposed system consists of three maincomponents; the WSN, the control unit, and cloud services.Arduino Uno and XBee ZigBee modules are combined to gathersensors data and send them wirelessly to the control unit. YL-69 sensor is used to monitor the soil moisture. Raspberry Pi isutilized to gather data, process them, provide the proper decision,and transfer them to ThingSpeak IoT cloud. In the cloud, the datacollected from the system is stored to create instance visualizationof live data and send alerts. This allows farmers to monitor thestatus of crops and make the required decisions. After inspectingthe prototype, many challenges are posed for future work

A low power IoT network for smart agriculture

Traditional agriculture is transforming into smart agriculture due to the prominence of the Internet of Things (IoT). Low-cost and low-power are the key factors to make any IoT network useful and acceptable to the farmers. In this paper, we have proposed a low-power, low-cost IoT network for smart agriculture. For monitoring the soil moisture content, we have used an in-house developed sensor. In the proposed network, the IITH mote is used as a sink and sensor node which provides low-power communication. We have evaluated our network with state of the art networks, proposed for agriculture monitoring. Power and cost are the two metrics used for evaluation of these networks. Results show that the proposed network consumes less power and has prolonged lifetime in the agriculture field