Crop - wireless sensor network for precision agriculture

Luís Batista, 1011844Pedro Reis, 1008705Paulo Fernandes, 1011931

Redes de Sensores

6 de Junho de 2015

Crop - wireless sensor network for precision agriculture

What is CROP?

Redes de SensoresCrop - wireless sensor network

for precision agriculture

Objective?



Hourly measurements of temperature and soil moisture levels.

Architecture



Tecnology Used



Hardware Software

- Base de dados Oracle- Web Service VB- Client C#- Waspmote C- Arduino C

- Waspmote- Xbee- Arduino- Humidity Sensor- Temperature Sensor- Solar Panel- Base station

Tecnology Used



Hardware

- Waspmote

MCU ATmega1281SRAM 8KBEEPROM 1KB reserved and 4KB availableElectrical data

Battery voltage: 3.3 - 4.2VSolar panel charging: 6 - 12V - 280mA

Tecnology Used



Hardware- XBEE

Tecnology Used



Hardware- XBEE

Tecnology Used



Hardware

- Temperature sensor

Tecnology Used



Hardware- Solar Panel

Tecnology Used



Hardware- Arduino Mega ADK

Tecnology Used



Hardware

- Moisture sensor



Designed Architecture

and

Implemented Architecture



Designed Architecture



Implemented architecture



Solution for humidity sensor readings



- Moisture sensor

Solution for humidity sensor readings

Tecnology Used



Software

Waspmote Programming

Waspmote Program Flow (1st layer node)

Waspmote Program Flow (2nd layer node)



Software




Software




Software




Software

Waspmote Programing



SoftwareWaspmote Programming



SoftwareWaspmote Programming



Tecnology Used



Software

- Arduino Programming

Arduino Program Flow

Tecnology Used



Software- Arduino Programing

Tecnology Used



Hardware- Gateway

Tecnology Used



Software

C# client

Tecnology Used



Software- Cliente C#

Web Service



Tecnology Used



Software

- Base Dados Oracle

Tecnology Used



Software

- Base Dados Oracle

Sensor calibration



Procedures

Sensor calibration



Procedures

Sensor calibration



Procedures

Sensor calibration



Procedures

Sensor calibration



Procedures

Results



Energy Consumption Readings%

Ba

tte

ry le

vel

% B

att

tery

le

vel

ID_Reading in DB

ID_Reading in Data Base

% B

att

tery

le

vel

ID_Reading in DB

During evening (no sunlight)

Around noon

Around noon

Soil Moisture Sensor Results

Grit Humus

Soil Moisture Sensor Calibration

Grit Humus

% S

oil

Mo

istu

re

% S

oil

Mo

istu

re

Temperature Sensor Results

-50

-45

-40

-35

-30

-25

-20

-15

-10

-5

0

20ºC

Sens

or R

eadi

ngs

-50

-45

-40

-35

-30

-25

-20

-15

-10

-5

0

30ºC

Sen

sor

Rea

ding

s

-60

-50

-40

-30

-20

-10

0

40ºC

Sen

sor

Rea

ding

s

-60

-50

-40

-30

-20

-10

0

50ºC

Sen

sor

Rea

ding

s

Temperature Sensor CalibrationºC

Sensor Reading

Conclusions



The final results proved that is possible to develop and implement an economic

and functional solution to monitor an agriculture field at distance,

but still not yet fully reliable.

The solution proposed could help professionals of the agriculture area

to have greater control over their productions without the necessity of

their physical presence.

However, the use of the Waspmote kits are not yet recommended due to

irregularity and inconstancy of the board's performances.

Technology

Crop - wireless sensor network for precision agriculture