Indonesian
Journal
of
Electrical
Engineer
ing
and
Computer
Science
V
o
l. 10
, No
. 3, Jun
e
20
18
, pp
. 84
7
~
85
2
ISSN: 2502-4752,
DOI: 10.
11591/ij
eecs.v10
.i3.pp847-852
8
47
Jo
urn
a
l
h
o
me
pa
ge
: http://iaescore.c
om/jo
urnals/index.php/ijeecs
Internet
of
Things
based
Smar
t
Environmental
Monitoring
for
Mushroom
Cultivation
Mohd
Sai
f
ul
Az
imi
Mahm
ud,
Salind
a
B
uyamin
,
Mus
a
Mohd
Mok
j
i,
M.
S.
Z
a
inal
Abidin
Faculty
of Electr
ical
Eng
i
neer
ing
,
Universiti Tekn
ologi Mala
y
s
ia,
81310 Skudai Jo
hor Malay
s
ia
Article
Info
A
BSTRAC
T
Article histo
r
y:
Received
Ja
n 11, 2018
Rev
ised
Mar
20
, 20
18
Accepted
Mar 31, 2018
Environm
enta
l c
ondition is a sig
n
ific
ant fa
ctor th
at needs to be controlled
in
mushroo
m
production
.
Mushrooms are unable to grow if the
temperature
is
higher
than 33°
C or lower
th
an
25°C. T
hus, th
is work focuses o
n developin
g
an
autom
a
t
i
c en
vironm
ental con
t
rol
s
y
stem to pr
ovide optimum condition
to
mushroo
m
production house. En
vironmental
f
a
ctors considered
in the s
y
s
t
em
are temperature, humidity
and carbon
dioxide. For this, DHT11
temperatur
e
humidity
sensor
and MQ135 CO2 sensor
are con
n
ected to th
e ES
P8266 Wi-
Fi module to become IoT (Inter
net of
Things) sensors that send
big amoun
t
of data to
the in
terne
t
for m
onitoring and assessm
ent. This en
ab
le users to
m
onitor the
en
vironm
ental
co
ndition
an
ywhe
re whenev
er
ac
ces
s
i
ng th
e
intern
et. B
a
sed
on the ana
l
y
s
is of the dat
a
, th
e
s
y
stem
will au
to
m
a
tica
l
l
y
on
and off
the
irr
i
ga
tion s
y
s
t
em
to
p
u
t th
e t
e
m
p
eratu
r
e a
t
an opt
im
um lev
e
l
.
K
eyw
ords
:
Inter
n
et of
Thi
n
g
Precision Fa
rm
ing
Env
i
ron
m
en
tal Con
d
ition
Mu
shr
o
o
m
Cu
ltiv
atio
n
Copyright ©
201
8 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
ing
Autho
r
:
Sal
i
nda B
u
y
a
m
i
n,
Depa
rt
m
e
nt
of
C
ont
r
o
l
a
n
d
M
echat
r
oni
cs,
Facu
lty of Electrical Eng
i
n
eerin
g
,
Un
iv
ersiti Tekn
o
l
o
g
i
Mal
a
ysia,
U
T
M Jo
hor
Bah
r
u
,
813
10
Joho
r, Malaysia.
Em
a
il: salin
d
a
@fk
e
.u
tm
.
m
y
1.
INTRODUCTION
Env
i
ron
m
en
t Co
n
t
ro
l Ag
ricu
ltu
re (ECA) is th
e
m
o
d
i
ficatio
n
of th
e n
a
t
u
ral en
v
i
ron
m
e
n
t to
ach
iev
e
o
p
tim
u
m
p
lan
t g
r
owth
. Th
is i
m
p
le
m
en
tati
o
n
is sign
if
ican
tly n
eed
ed
i
n
Malaysia as th
e
d
e
m
a
n
d
fo
r food
in
creases rap
i
dly. By co
n
t
ro
llin
g
t
h
e en
v
i
ron
m
en
t fo
r cu
ltiv
atio
n, th
e prod
u
c
tion
and
q
uality o
f
cro
ps can
be
in
creased
as t
h
e crop
s
ob
tain
o
p
tim
u
m
co
n
d
ition
s
su
ch
as
tem
p
eratu
r
e,
carbo
n
d
i
ox
i
d
e, hu
m
i
d
i
t
y
,
water,
sunl
i
ght
,
n
u
t
ri
e
nt
an
d
p
H. T
h
i
s
m
odi
fi
cat
i
on
can al
s
o
be a
p
pl
i
e
d t
o
any
ki
nd
o
f
pl
ant
-c
u
l
t
i
v
at
i
on t
o
ext
e
nd
t
h
e
gr
owi
n
g seas
o
n
s t
h
at
e
n
a
b
l
e
s pl
ant
s
t
o
g
r
o
w
d
u
r
i
n
g p
e
ri
o
d
s
of t
h
e y
ear
not
c
o
m
m
onl
y use
d
t
o
pl
ant
s
op
e
n
field
cro
p
s. B
y
ap
p
l
yin
g
ECA d
e
v
i
ces, t
h
e in
creasing
d
em
an
d
s
fo
r
m
u
sh
roo
m
ca
n
b
e
fu
l
f
illed
as th
e
pr
o
duct
i
o
n rat
e
i
n
crease
s
.
Env
i
ron
m
en
t Co
n
t
ro
l
Agricu
ltu
re is a sy
ste
m
wh
ere p
l
an
ts are cu
ltivated
und
er
green
hou
se
o
r
pr
o
duct
i
o
n
ho
use
wi
t
h
em
bedde
d a
u
t
o
m
a
t
i
c sy
st
em
s. Th
e en
vi
ro
nm
ent
can
be c
ont
r
o
l
l
e
d aut
o
m
a
t
i
c
al
l
y
t
o
main
tain
op
ti
mal co
nd
ition
s
.
Nev
e
rth
e
less, l
o
cal farm
ers ar
e still n
o
t
fam
iliar with
t
h
is syste
m
d
u
e
to lack
o
f
kn
o
w
l
e
d
g
e an
d ex
p
o
su
re. B
e
si
des,
not
m
a
ny
i
n
f
o
rm
at
i
on an
d re
searc
h
has bee
n
do
n
e
on t
h
e ef
fec
t
s and
bene
fi
t
s
o
f
E
C
A i
n
M
a
l
a
y
s
i
a
especi
al
l
y
for
oy
st
er m
u
shr
o
om
. In m
u
shr
o
om
prod
u
c
t
i
on s
u
ch as
oy
st
er
m
u
sh
roo
m
, te
m
p
eratu
r
e is th
e m
a
in
facto
r
th
at n
e
ed
s to
b
e
con
t
ro
lled
.
Th
is is b
e
cau
s
e g
r
een
m
o
ld
[1
] will
appea
r
i
f
t
h
e
m
u
sh
r
oom
bag
t
e
m
p
erat
ur
e i
s
l
e
ss t
h
a
n
25
°C
.
Vari
o
u
s
p
l
an
t was
p
l
an
ted u
s
ing
env
i
ron
m
en
t co
n
t
ro
l
ag
ricu
ltu
re su
ch as to
m
a
to
es, lettu
ces,
strawberries,
m
u
shroom
s and spi
n
ach. For these crops,
t
h
e production
has incre
a
sed
proportionally because
th
e env
i
ron
m
e
n
t factor was
co
n
t
ro
lled
au
to
m
a
t
i
cally
to
i
t
s o
p
tim
u
m
co
n
d
ition
[2
]. The rate o
f
pro
d
u
c
tions
and
quality of the crop incre
a
ses if optim
um
environm
ent condition is provide
d
to
ensure
perfect growt
h
.
Usi
n
g EC
A de
vi
ce, t
h
e dat
a
f
o
r eac
h envi
ro
nm
ent
a
l
fact
ors can be det
e
r
m
i
n
ed by
usi
n
g sens
or
s [3]
.
The dat
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
502
-47
52
I
ndo
n
e
sian
J Elec Eng
& Com
p
Sci, V
o
l. 10
,
No
.
3
,
Jun
e
2
018
:
84
7 – 85
2
84
8
will b
e
p
r
o
cessed
b
y
th
e m
i
c
r
o
c
on
tro
ller to d
ecid
e
th
e actio
n
s
n
eed
ed
to b
e
tak
e
n
in
ord
e
r to
m
a
in
tai
n
th
e
o
p
tim
u
m
co
nd
itio
n
s
.
Th
ere are several m
e
th
o
d
s
o
f
p
l
an
ts cu
ltiv
atio
n
su
ch
as h
ydropo
n
ics,
p
o
ly b
a
g
s
, cap
illary
m
a
t,
aeroponics and open
field. These
m
e
t
h
o
d
s exce
pt
o
p
e
n
fi
el
d, are
u
s
ual
l
y
do
ne u
nde
r g
r
een
h
o
u
s
e or
p
r
od
u
ction
h
o
u
s
e.
Hydropo
nics is a syste
m
wh
ere
p
l
an
t
s
are cu
ltiv
ated
u
s
i
n
g
water co
n
t
ain
i
n
g
nutrien
ts.
Water fl
o
w
s in
sid
e t
h
e water tub
e and
th
e p
l
an
t roo
t
s
are i
mmersed
into
th
e so
l
u
tion. Th
is m
e
th
o
d
u
s
es
n
u
t
rien
t so
lu
tio
n to
rep
lace so
il. In
the m
e
a
n
ti
m
e
, water is b
e
ing
pu
m
p
ed
th
ro
ugh
the tub
e
an
d recycled
all
ove
r agai
n in
a closed syste
m
.Capillary
mat is also us
ed to replace s
o
il because th
e
mat is able
to abs
o
rb
nut
rient wate
r.
This m
e
thod i
s
us
ually used
to pla
n
t lettuce since lettuce
needs la
rger s
p
ace for
growt
h
. The
syste
m
s u
s
e timer in
th
e pu
mp
to trigg
e
r th
e wateri
n
g
au
t
o
matical
ly.
Greenh
ou
se is also
a n
e
w syste
m
in
wh
ich
cro
p
s
are cultiv
ated
fu
lly u
n
d
e
r syste
m
co
n
t
ro
l. Th
e
cont
rol
l
e
d
fact
ors a
re
wat
e
r, t
e
m
p
erat
ur
e,
hu
m
i
di
t
y
, C
O2 l
e
vel
, l
i
ght
i
n
t
e
n
s
i
t
y
, ai
r fl
ow
, p
H an
d
nut
ri
ent
l
e
vel
.
All of t
h
ese
factors
are
bei
n
g c
ontro
lled
au
to
m
a
tical
ly
with
t
h
e
u
s
e
of an
au
to
m
a
tic
system
co
n
tro
l wit
h
sui
t
a
bl
e se
ns
or
s [
4
]
.
Th
is pro
j
ect is an
im
p
l
e
m
en
tatio
n
of sm
art farm
in
g
fo
r
m
u
sh
roo
m
cu
l
tiv
atio
n
.
Sm
art farm
in
g
is
about real-time data collect
ion, proces
sing and analysis,
as well as
au
tomatio
n
tech
no
lo
g
i
es
o
n
th
e
farm
in
g
p
r
o
c
ed
ures to
ach
iev
e
im
p
r
ov
em
en
t o
n
th
e farm
in
g
activ
ities. In
conj
uctio
n
with
4
.
0 in
du
strial revo
lu
tion,
Int
e
r
n
et
of
Thi
ngs
(
I
o
T
)
sens
i
ng a
n
d m
obi
l
e
t
echn
o
l
o
gi
es
has
n
o
w
bec
o
m
i
ng a
dai
l
y
assi
st
ant
t
o
n
u
m
erou
s
activ
ities, s
m
a
r
t farm
in
g
h
a
s also
im
p
r
o
v
ed
to
a
n
e
w lev
e
l. An
IoT tech
no
log
i
es h
a
s
b
e
en
wid
e
ly
i
m
p
l
e
m
en
ted
in
m
easu
r
ing
h
u
m
an
aciv
ities [5
] sm
art
g
r
i
d
[6
], sm
art h
o
m
e system
[7
] an
d
ag
ricu
ltu
ral
m
o
n
ito
rin
g
syste
m
[8
]. Mob
ile app
licatio
n
s
in
teractin
g
wi
t
h
t
h
e
I
o
T
base
d a
g
ri
c
u
l
t
u
ral
s
e
ns
ors
are
n
o
w
us
e
d
to
facilitate man
a
g
e
m
e
n
t o
f
cu
ltiv
atio
n an
d
/
o
r
liv
es
to
ck
[9
]. For
ex
am
p
l
es, Herd
watch
[10
]
is h
e
rd
man
ag
em
en
t
s
y
ste
m
wh
ich
allo
ws cattle farm
ers to
m
an
a
g
e th
eir b
eef via a s
m
artp
h
one o
r
tab
l
et. Ano
t
h
e
r
ex
am
p
le o
n
li
v
e
sto
c
k
is M
o
o
M
on
ito
r+ [11] th
at m
o
n
ito
rs cow’s h
ealth
an
d fertility b
y
m
ean
s of
wearab
le
co
llars, all
o
wi
n
g
farm
ers to
m
o
n
ito
r th
eir en
tire
h
erd
,
from
th
eir pho
n
e
.
In cu
ltiv
ation
activ
ities, ex
am
p
l
e is su
ch
i
n
[12
]
wh
ere
an
Ardu
ino
-
b
a
sed
env
i
ron
m
en
tal con
t
ro
l
sy
st
em
was de
vel
o
ped
wi
t
h
ESP8
2
66 (
W
I
F
I
m
odul
e) as t
h
e sy
st
em
IoT d
e
vi
ce t
h
at
send
envi
r
onm
ent
a
l
sense
dat
a
t
o
t
h
e serve
r
f
o
r p
r
oc
essi
ng
. A
p
art
from
t
h
e ESP8
26
6,
wo
rk
i
n
[1
3]
use zi
gbee t
ech
nol
ogy
t
o
comm
unicate the se
nsors t
o
the se
rve
r
. Th
en,
d
ecision
is m
a
d
e
to
con
tro
l th
e i
rrigatio
n
system
o
f
th
e
cu
ltiv
atio
n house. Sim
ilar syst
e
m
s w
e
re also
p
r
esen
ted in
[14
]
and
[15
]
.
C
o
m
p
ari
ng
WI
FI m
odul
e
ver
s
us t
h
e zi
g
b
ee
m
odul
e, ge
ner
a
l
l
y
zi
gbee i
s
pr
om
ot
ed as h
a
vi
n
g
l
o
w
e
r
po
we
r usa
g
e.
Ho
we
ver
, i
t
s
p
r
ot
ocol
i
s
m
o
re com
p
l
i
cat
ed t
h
an
WI
FI.
Si
n
ce ESP
8
2
6
6
, i
f
con
f
i
g
ure
d
pr
ope
rl
y
,
al
so co
nsum
e
t
o
l
e
rabl
e l
o
w po
we
r, i
t
i
s
a
go
o
d
pi
ck i
f
WI
FI m
odul
e i
s
t
o
be used
. Th
us, t
h
i
s
w
o
r
k
wi
l
l
expl
ore
h
o
w
t
o
o
p
t
i
m
a
l
l
y
im
p
l
em
ent
t
h
e ES
P8
26
6 as
t
h
e
I
o
T
de
vi
ce o
n
t
h
e e
nvi
ro
nm
ent
a
l
cont
r
o
l
sy
st
em
.
Al
t
h
o
u
gh
pr
o
v
en t
o
be w
o
rki
ng p
r
ope
rl
y
,
wo
rk
s i
n
[1
2-
1
5
]
were as
sum
e
d t
o
wor
k
fo
r any
g
r
eenh
ou
se env
i
ro
n
m
en
tal co
n
t
ro
l syste
m
wh
ere
no
n, h
a
v
e
b
een im
p
l
e
m
e
n
ted
at th
e m
u
sh
roo
m
cu
ltiv
atio
n
h
o
u
s
e. Th
u
s
, t
h
is work
will stu
d
y
th
e env
i
ron
m
en
tal b
e
hav
i
ou
r i
n
sid
e
th
e m
u
sh
roo
m
cu
ltiv
atio
n
hou
se to
o
p
tim
all
y
co
n
t
ro
l th
e te
m
p
erature
and
hum
i
dity.
2.
R
ESEARC
H
M
ETHOD
The
basi
s
fo
r
t
h
e p
r
op
ose
d
aut
o
m
a
t
i
c
sy
stem
i
s
t
h
e I
o
T
W
i
-
F
i
m
odul
e de
vi
ce cal
l
e
d
No
deM
C
U
ESP8266
V
2.0, wh
ich is
u
s
ed
to co
llect env
i
ro
m
e
n
t
al d
a
ta (
s
en
so
r nod
e)
an
d sen
d it to
the in
ter
n
et
fo
r d
a
ta
m
o
n
ito
rin
g
and
an
alysis. The Io
T d
e
v
i
ce
is also
u
s
ed
as th
e con
t
ro
ller to
m
a
in
tain
th
e env
i
ro
n
m
en
tal
con
d
i
t
i
on at
re
qui
red l
e
vel
. T
h
i
s
ESP
8
2
6
6
i
s
po
were
d by
bat
t
e
ry
and ca
n l
a
st
for fe
w m
ont
hs i
f conf
i
g
u
re
d
pr
o
p
erl
y
.
Th
e
f
low
p
r
o
c
ess of
th
e syste
m
is sh
own
by Fig
u
r
e
1
.
Ref
e
rr
ing
to
Figur
e 1, th
e m
o
n
ito
r
ing
and
assessm
ent
pro
cess are d
o
n
e t
h
r
o
ug
h T
h
i
n
gS
peak
.com
base
d o
n
dat
a
pass
ed by
t
h
e se
ns
or
no
de.
In t
o
t
a
l
, si
x
sets of the E
S
P8266, eac
h c
o
nnected t
o
the environm
en
tal sen
s
or
s (D
HT11
te
m
p
er
atur
e/hu
m
id
it
y
se
n
s
or
an
d
MQ13
5
C
O
2
g
as sen
s
or) were u
s
ed
as th
e sen
s
or n
o
d
e
s. Th
en
, ano
t
her ESP8
266
(sin
g
l
e un
it) will g
e
t
in
fo
rm
atio
n
from
th
e Th
i
n
gSpeak
.co
m
to
contro
l th
e
actu
a
tor to ach
iev
e
o
p
ti
m
u
m
en
v
i
ronmen
tal co
nd
itio
n.
Th
e con
t
ro
ller o
f
th
e system is co
n
n
ected
to
th
e irrig
a
tion
syste
m
to
a
u
to
m
a
tical
ly
watering
th
e
p
r
od
u
c
tion
hou
se in
con
t
ro
llin
g
its te
m
p
eratu
r
e and
hu
mid
ity to
b
e
b
e
lo
w a requ
ired
lev
e
l. Th
is irri
g
a
tion
sy
st
em
consi
s
t
s
of i
rri
gat
i
on
pi
pi
n
g
wi
t
h
d
ri
ppe
rs an
d m
i
st no
des, an
d a wat
e
r p
u
m
p
whi
c
h i
t
s
ope
rat
i
on i
s
co
n
t
ro
lled b
y
t
h
e co
n
t
ro
ller throug
h conn
ectio
n with relay.
As al
ready
m
e
nt
i
n
ed
, t
w
o t
y
pes of e
n
vi
ro
nm
ent
a
l
senso
r
s are us
ed i
n
t
h
e pr
op
ose
d
sy
st
em
;
t
h
e
DHT
1
1
an
d
M
Q
1
35 t
o
re
ad i
n
t
e
r
n
al
p
r
od
uct
i
o
n h
o
u
s
e
t
e
m
p
erat
ure/
hum
i
d
i
t
y
and C
O
2 c
once
n
t
r
at
i
o
n
respectively. T
h
ese three e
n
vironm
en
tal fac
t
ors are chose
n
beca
use thes
e are widely measured in
various
precisio
n
a
g
ri
culture
sy
stem
[1
4]
. F
u
rt
her
m
ore, th
ese three environm
e
n
tal f
actors are also the c
o
mmon
Evaluation Warning : The document was created with Spire.PDF for Python.
In
d
onesi
a
n
J
E
l
ec En
g &
C
o
m
p
Sci
ISS
N
:
2
5
0
2
-
47
52
In
tern
et o
f
Th
i
n
g
s
ba
sed
Smart En
viro
nmen
ta
l Mo
n
ito
ri
n
g
fo
r Mu
sh
ro
om… (Mo
h
d
Sa
iful Azimi Ma
hmud
)
84
9
conce
r
n from
the local m
u
sroom
growe
r
s di
rectly and in
directly involved in this work.
The
o
ritically,
CO2 is
pr
o
duce
d
d
u
ri
ng
t
h
e
m
u
shr
o
om
'
s
gro
w
t
h
i
n
c
o
m
post
,
w
h
i
c
h
ne
gat
i
v
el
y
affect
s
m
u
shr
o
om
gro
w
t
h
d
u
ri
ng
pi
n
n
i
n
g. Pi
n
n
i
ng i
s
t
h
e t
r
i
c
k
i
est
part
for a
m
u
shr
oom
growe
r
, si
nce a
com
b
i
n
at
i
on o
f
C
O
2 c
once
n
t
r
at
i
o
n
,
te
m
p
eratu
r
e, lig
h
t
, and
hu
m
i
d
ity trig
g
e
rs m
u
sh
roo
m
s to
ward
s
fru
itin
g.
I
n con
f
i
g
ur
ing th
e ESP8
266 as sen
s
o
r
nodes and
con
tro
ller
,
A
r
d
u
i
n
o ID
E
w
a
s
u
s
ed
to
f
lash
t
h
e
pr
o
g
ram
m
i
ng
code t
o
t
h
e E
SP8
2
66 m
o
d
u
l
e
. Th
us, i
m
pl
em
ent
a
t
i
on o
f
t
h
e sy
st
em
i
s
qui
t
e
easy
. Ot
h
e
r t
h
a
n
t
h
at
, NO
DEM
C
U Fi
rm
ware Pro
g
r
am
m
e
r i
s
al
so used i
n
u
pdat
i
n
g t
h
e fi
r
m
ware of t
h
e m
odul
e. The fi
rm
ware
use
d
i
n
t
h
i
s
wo
rk
i
s
ve
rsi
o
n ‘
p
reb
u
i
l
d
n
odem
c
u 20
1
5
0
1
2
7
.
b
i
n’.
Fi
gu
re
1.
The
s
y
st
em
fl
ow
pr
o
cess
3.
R
ESU
LTS
AN
D
ANA
LY
SIS
The p
r
op
ose
d
sy
st
em
has been t
e
st
ed u
s
i
n
g m
u
shr
oom
pr
o
duct
i
o
n h
o
u
se re
pl
i
ca an
d t
w
o act
ual
production
houses at Kota Ti
nggi a
n
d Be
nut, Johor. T
h
e re
plica was
placed
at UTM
Agric
u
lture
fa
rm
to have
act
ual
out
do
or
envi
r
o
nm
ent
a
l con
d
i
t
i
on. Fi
g
u
re
2 sh
ow
s t
h
e repl
i
ca and t
h
e ESP
8
26
6 i
n
st
al
l
e
d at
t
h
e act
u
al
pr
o
duct
i
o
n h
o
u
s
e.
(a) R
e
pl
i
ca o
f
t
h
e
pr
o
duct
i
o
n
ho
use
(
b
)
Sens
o
r
no
d
e
at
act
ual
pr
od
uct
i
o
n
h
o
u
se
Fi
gu
re
2.
M
u
s
h
ro
om
pro
d
u
ct
i
o
n
h
o
u
se
repl
i
c
a
Send data to cloud
&
continue r
ead
M
onitor
i
ng and
Analysis
Co
n
t
ro
ller
Start
Establish
connection with
Connection
Success
Get value f
r
o
m
cloud
Sensor
Node Star
t
Establish
connection with
Connection
Success
Read the sensor
value T
,
H,
and C
T/H
exceed
Do the r
e
quir
e
d
actuation
YES
YES
YES
NO
NO
NO
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
502
-47
52
I
ndo
n
e
sian
J Elec Eng
& Com
p
Sci, V
o
l. 10
,
No
.
3
,
Jun
e
2
018
:
84
7 – 85
2
85
0
I
n
th
e act
u
a
l
mu
shro
o
m
p
r
oductio
n
hou
se test, th
e six
sen
s
or
no
d
e
s ar
e in
stalled
at r
a
n
dom p
o
s
itio
n
and run until
the
battery power
dried.
The
n
, an internet c
o
nnection is est
a
blishe
d by set
ting up
nearby
access
poi
nt
an
d m
oni
t
o
ri
n
g
t
o
t
h
e sy
st
em
i
s
done t
h
ro
u
gh T
h
i
n
gS
p
eak. T
h
i
s
i
s
sh
ow
n i
n
Fi
gu
re
3. Fi
g
u
r
e 4
gi
ves a
n
in
itial set
o
f
d
a
ta th
at was co
llected
fro
m
1
0
.
0
0
p
m
to
1
2
.
00 a
m
to
see th
e p
erform
an
ce o
f
th
e syste
m
.
Fig
u
re
5
s
h
ows
a
n
ex
am
pl
e of one
peri
od o
f dat
a
di
spl
a
y
e
d o
n
Thi
n
gS
pea
k
. W
i
t
h
t
h
e Io
T im
pl
em
ent
a
t
i
o
n, l
e
ss
m
o
b
ili
ty req
u
i
red
in ord
e
r t
o
co
llect th
e
d
a
ta
an
d to
m
o
n
itor
th
e cond
itio
n of th
e produ
ction
h
o
u
s
e.
B
a
sed f
r
o
m
t
h
e dat
a
obt
ai
ne
d
,
t
h
e sy
st
em
m
a
nage
d t
o
c
o
l
l
ect
t
h
e en
vi
r
o
n
m
ent
dat
a
an
d
t
h
e dat
a
was
com
p
ared using HT-2000
Dat
a
Logge
r
de
vice to check
for its accuracy and
reliability. For e
x
am
ple, the data
f
r
o
m
th
e p
r
oposed
syste
m
d
u
r
in
g
2.00
p
.
m
.
w
e
r
e
33
°C
, 6
2
% RH
an
d
451 p
p
m
. Th
e r
ead
ing
wh
en
usin
g
HT-
2
000
w
e
r
e
32
°C, 6
4
%
R
H
and
470
pp
m
.
Th
e d
i
f
f
e
r
e
n
c
es b
e
tw
een
th
e
r
ead
i
n
g
s
f
r
o
m
ECA
d
e
v
i
ce
w
ith
HT-
200
devi
ce,
t
h
e
dat
a
fr
om
t
h
e pr
o
pos
ed
sy
ste
m
is expected
bec
a
use the se
nsors
use
d
ha
ve offset readi
n
g as
stated
in
th
e
d
a
tash
eet. Ho
wev
e
r, t
h
e d
i
ff
ere
n
ce is
considere
d
t
o
o
sm
a
ll.
Fi
gu
re
3.
The
c
o
n
n
ect
i
o
n
of
e
ach
devi
ces
Figure 4.
Data collected
for
s
h
ort period of
t
i
m
e
From
3 m
ont
h
s
of
readi
n
g t
h
e envi
ro
nm
ent
dat
a
, i
t
sh
ows
t
h
at
wat
e
ri
n
g
t
h
e m
u
shro
om
pr
od
uct
i
o
n
house
did lower down the te
m
p
erature
and in
crease th
e
hu
m
i
d
i
t
y
. Battery u
s
ag
e fo
r the syste
m
is
mo
d
e
rate
whe
r
e i
t
ca
n s
t
and
u
p
t
o
10
day
s
bef
o
re t
h
e
bat
t
e
ry
i
s
f
u
l
l
y
dri
e
d.
Ge
neral
l
y
, t
h
e
ba
t
t
e
ry
usag
e ca
n
b
e
im
pro
v
ed
by
p
r
o
p
erl
y
c
o
n
f
i
g
uri
ng t
h
e
deep
sl
eep m
ode.
An
ot
he
r
opt
i
o
n i
s
t
o
c
o
nn
ec
t
a R
eal
-Tim
e C
l
oc
k
(
RTC)
ch
ip to
sh
u
t
do
wn th
e
ESP8266
an
d
p
o
w
e
r
it on
when
n
eed
ed
(a
) Tem
p
er
ature
(
b
)
Hum
i
dity
Fi
gu
re
5.
M
o
ni
t
o
ri
n
g
t
h
r
o
u
g
h
Thi
n
gS
pea
k
f
o
r
one
pe
ri
o
d
Evaluation Warning : The document was created with Spire.PDF for Python.
In
d
onesi
a
n
J
E
l
ec En
g &
C
o
m
p
Sci
ISS
N
:
2
5
0
2
-
47
52
I
n
tern
et o
f
Th
i
n
g
s
ba
sed
Sm
art En
viro
nm
en
ta
l M
o
n
ito
ri
n
g fo
r Mu
sh
ro
om… (Mo
hd
Sa
iful Azimi Ma
hmud
)
85
1
4.
CO
NCL
USI
O
N
En
vi
ro
nm
ent
a
l
con
d
i
t
i
on i
s
a si
gni
fi
ca
nt
fact
or t
h
at
nee
d
s t
o
be c
ont
r
o
l
l
e
d
i
n
m
u
shr
o
om
pr
o
duct
i
o
n.
Th
e
d
e
v
i
ce is ab
le to
d
e
v
e
l
o
p
an
env
i
ron
m
en
tal co
n
t
ro
l agricu
ltu
re
syste
m
th
at will in
crease th
e pro
d
u
c
tio
n
of
cro
p
s.
It
i
s
d
o
n
e by
t
a
ki
ng t
h
e en
vi
r
o
nm
ent
a
l
dat
a
a
nd st
ore it usi
ng t
h
e internet.
The
data collected are
t
e
m
p
erat
ure
,
h
u
m
i
di
ty
and
C
O
2
l
e
vel
.
T
h
e
sy
st
em
m
a
naged t
o
c
o
l
l
ect
t
h
e en
vi
r
onm
ent
dat
a
a
n
d
t
h
e
da
t
a
was
com
p
ared using HT-2000 Da
ta
Logge
r
devi
ce to c
h
eck for its accuracy
a
n
d reliability. The sm
all differenc
e
as l
o
w as
3
%
were s
h
ow
n. T
h
e c
ont
r
o
l
sy
st
em
i
n
si
d
e
th
e
d
e
v
i
ce is au
to
m
a
tic
ally trig
g
e
red if th
e
en
v
i
ron
m
en
tal
co
nd
itio
n
s
are n
o
t
in
op
tim
u
m
co
n
d
ition
.
Th
is system h
o
w
ev
er req
u
i
res a stab
le in
tern
et
co
nn
ection
to
en
su
re th
at th
e d
a
ta is sen
t
to
th
e in
tern
et.
Th
e co
m
b
in
atio
n
o
f
th
is sytem with
water d
r
i
p
p
e
r
an
d
m
i
st d
e
v
i
ce, will g
i
v
e
b
e
t
t
er effect to
t
h
e en
v
i
ron
m
en
tal co
nd
itio
n
i
n
sid
e
th
e cu
ltiv
atio
n
farm
. Other th
an
that, this syste
m
has succes
sfully im
ple
m
ented the
c
oncept IoT and
autom
a
ted
control in the
pre
c
ision
alg
r
icu
lture.
ACKNOWLE
DGE
M
ENTS
The aut
h
ors
gratefully
acknowledged the Ministry of
Hi
g
h
er
Educat
i
o
n (
V
ot
e N
o
.
Q
.
J1
300
00
.252
3.1
1
H3
1) and
Un
i
v
ersiti Tekn
o
l
o
g
i
Malays
ia fo
r th
e
finan
cial su
ppo
rt
s th
ro
ugh
Un
iv
ersity
Research Grant Schem
e.uthors
REFERE
NC
ES
[1]
D.
J.
Roy
se,
K.
Boomer,
Y.
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2
BIOGRAP
HI
ES
OF
AUTH
ORS
Mohd Saiful Azimi Mahmud
rec
e
ived
his B
.
Eng
in
Ele
c
tr
ica
l
En
gineer
ing,
m
a
jor
e
d in
Control
and Mechatron
i
cs from Universiti Teknologi Mal
a
y
s
i
a
(UTM) in 2015. Currentl
y
,
he is pursuing
his studies in Doctor of Philosoph
y
of Ele
c
tr
ica
l
Engine
erin
g and his inter
e
st is in m
u
lti-
objec
tive
optim
i
zat
ion for
agri
cu
ltura
l mobile rob
ot nav
i
gation s
y
s
t
em.
Salinda
Bu
yam
i
n
rec
e
iv
ed h
e
r B
.
Eng
in
El
ec
tric
al
Engine
ering
fr
om
Universit
y
o
f
Tol
e
do,
USA
in 1998, Msc in Automation and Control (Distin
ctio) from University
of Newcastle, United
Kingdom in 200
3 and PhD in Co
ntrol of Electrical
Drives from
University
of Newcastle, United
Kingdom
in 2007. Current
l
y
, s
h
e is an Associ
ate
Professor at
Universiti
Tek
nologi Mal
a
y
s
ia
(UTM) in Cont
rol and Mechatr
onics Department
, F
acult
y of
Ele
c
tri
cal Eng
in
eering and her
current r
e
sear
ch
inter
e
st involv
e
the Modelling
an
d Simulation of
D
y
namic S
y
s
t
ems, Control and
Developm
ent of
Elect
ric Drives
Sy
st
em
, S
y
ste
m
Identifica
tion
and Estim
ation
,
Optim
isation,
Intell
igen
t Contr
o
l, Sensorl
e
ss Cont
rol
and S
m
art
Agricul
t
ure
S
y
s
t
em
.
Musa Mohd Mokji receiv
e
d his B. Eng in El
ectr
i
cal Engin
e
ering in 2000,
Msc in Image
Processing in 2002 and PhD in Im
age Processing in 2008 from
Universiti T
e
kn
ologi Malay
s
i
a
.
Currently
, h
e
is a Senior Lectur
er at Universi
ti Teknologi Malay
s
ia (U
TM) in
Electronics and
Computer Engineering Depar
t
ment, Faculty
of El
ec
tric
al Engin
e
ering and his
current res
ear
ch
inter
e
st invo
lve
the Pa
ttern
Re
c
ognition,
Im
ag
e
Processing,
Co
gnitive
Processi
ng, IoT
Sensor
and Sm
art Agri
c
u
lture
S
y
st
em
.
Mohamad Shukri Zainal Abidin
received h
i
s B.
Eng in
Electr
i
cal Engin
eer
ing fr
om Universiti
Teknologi Malay
s
ia (UTM) in
1998, Msc in Elect
r
i
cal Engin
e
ering from
Universiti Tekno
logi
Malay
s
ia (UTM
) in 2001 and
PhD in Agricultu
re Engin
eerin
g from Toky
o
University
of
Techno
log
y
, Jap
a
n in 2014. Curr
entl
y
,
he is
a Se
nior Lecturer at
Universiti
Tekn
ologi Mal
a
y
s
i
a
(UTM) in Control and Mech
atronics Departm
e
nt
,
Faculty
of Electrical Engin
eering and
his
current res
e
arch
interes
t
invo
lve
the adapt
i
ve c
ontrol strategies
in fibrous capillar
y
irr
i
gation
s
y
stem and
agr
i
cultural robotics.
Evaluation Warning : The document was created with Spire.PDF for Python.