Wireless Sensor Network’s Application

By Venkat Meruva

S02823506

OutlineOutline Introduction Applications of Wireless Sensor Networks Applications of Wireless Sensor Networks in

Agriculture Types of Sensors used in Agriculture Field Parameters to measure using Sensors Examples of applications of Wireless sensor

Network Conclusion

Introduction: A wireless sensor network (WSN) = various wireless

nodes communicating with base stations via radio link.

It is an ad-hoc network: nodes act as forwarder, relaying data to a base station.

AgricultureAgriculture Area monitoringArea monitoring Battel FieldBattel Field Environmental monitoringEnvironmental monitoring Industrial monitoringIndustrial monitoring Medical ApplicationsMedical Applications Radio frequency identificationRadio frequency identification Smart homeSmart home Under Water Sensor NetworkUnder Water Sensor Network

Harvest Variability of Quality Measuring Vegetation Indices Monitoring Temporal Stability Geostatistical analysis by interpolation of

the measured points Distributed Valley irrigation

Light Sensor Air RH Sensor Leaf and Air Temperature Sensor Temperature Module with built-in MICA2 Leaf RH Sensor Soil Moisture Sensors Humidity Module with built-in MICA2DOT

Detail Local Environment :Temperature Measurement GreenhousesHumiditySoil MoistureWind speed, directionRain FallSunshineCO2

iButton :

A 16mm computer chip armoured in a stainless steel can Up-to-date information can travel with a person or object

>> Can record temperature with ease

Simputer : Agri-information : It acts an interactive assistant with access to relevant information regarding weather, crop, seed, fertilizer and farming practice information.

Greenhouse Monitoring:

WSNs used to control the temperature and humidity levels in greenhouses

Fall of temperature or humidity below a specific level → information transmitted by the node to the base station which can send a notification to the greenhouse manager

WSNs easy to move → ideal for this kind of application

Precision Agriculture : Precision agriculture aims at

making cultural operations more efficient, while reducing environmental impact.

The information collected from sensors is used to evaluate optimum sowing density, estimate fertilizers and other inputs needs, and to more accurately predict crop yields.

KrishiSense sensing system field layout: >> This sensing system has been designed toprecisely monitor Citrus crop resources (soil, water andweather) requirements and management

Analysis of Soil Moisture

Test set up for FEF soil moisture sensor.

Analyzing of the soil moisture

sensor due to the effects of the electrode size

and number ofground electrode.

Applications : The best way to solve the

agricultural problems related to farming resources optimization, decision making support, and land monitoring

Increasing production efficiency, improve product quality, improve the efficiency of crop chemical use Conserve energy , and to protect the environment .

Temperature sensors to help protect their crops from frost damage

The temperature motes will help Farms target specific plants for frost-control measures, such as misting the plants with water.

Analysing long-term data from the sensors, they'll also be able to harvest crops more productively, and cut their use of pesticides and fungicides

Applications :

Reducing the level of the pesticides while ensuring a high quality productionDetermining the disease development

during the growing season.

Contd.,

Conclusion : Sensor Networks are emerging as a great aid in

improving agricultural productivity, quality and resource optimization

Very application dependent and close interaction between agriculture scientist and ICT researchers will help

Many other technologies (such as iButton, Simputer) have become available which can help improve agriculture and Rural quality of life