E3S Web of Conferences,
Journal Year:
2023,
Volume and Issue:
448, P. 01015 - 01015
Published: Jan. 1, 2023
Rotation
plant
can
in
a
manner
effective
reduce
fragility
system
plant.
need
consider
Lots
factor.
If
happen
error
election
type
plants,
lower
results
next.
moment
This
rotation
planting
is
done
only
based
on
estimate.
exists
artificial
intelligence
technology
with
use
the
Simple
Multi
Attribute
Rating
Technique
(SMART)
method
that
used
for
optimization
scheduling
SMART
weighting
and
calculation
determination
determine
ranking
replacement
criteria
already
determined.
The
namely
botanical
family,
availability
needs
water,
cost.
Addition
culture
land
agriculture
as
research
pilot
project
region
Java
east
“Pranata
Mangsa”
java’s
calendar.
Research
show
application
supporters
decision
has
accuracy
by
90%.
Ranking
sorted
from
percentage
biggest
until
smallest.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(13), P. 10411 - 10411
Published: July 1, 2023
Local
agrobiodiversity
in
remote
areas
such
as
the
Moroccan
High
Atlas
is
poorly
studied,
despite
being
of
great
importance
for
sustainability
and
resilience
mountainous
populations.
This
includes
important
species
wheat
(Triticum
spp.),
barley
(Hordeum
vulgare),
fava
beans
(Vicia
faba),
peas
(Pisum
sativum),
alfalfa
(Medicago
sativa).
study
aimed
to
better
understand
varietal
naming
by
farmers
traits
they
use
assessing
current
diversity
five
species,
22
locations,
distributed
across
three
hubs
Atlas.
The
data
were
provided
282
Amazigh
informants
during
focus-group
discussions,
household
surveys,
market
with
support
Diversity
Assessment
Tool
Agrobiodiversity
Resilience
(DATAR).
local
terminology
variety
names
systematically
collected
morphological,
ecological,
descriptors
appears
be
a
valuable
way
assess
intraspecific
diversity,
further
comparisons
genomic
results
are
recommended.
Furthermore,
also
indicate
low
at
level,
which
contrasts
greater
community
level.
Larger
still
planted
landraces
compared
modern
varieties,
although
levels
richness
(number)
both
varieties
equivalent
overall.
Many
factors
influence
this
diversity:
biophysical
characteristics
sites,
socio-economic
management
practices
farmers,
availability
or
landraces.
Although
selection
processes
have
reduced
available
economically
crops,
we
found
that
rely
greatly
on
landraces,
present
variability
allow
them
adapt
conditions.
Conservation Biology,
Journal Year:
2024,
Volume and Issue:
38(4)
Published: April 29, 2024
We
examined
the
entanglement
of
biodiversity
conservation,
human–animal
interactions,
zootherapy,
and
local
beliefs
among
Sumatran
Healers
their
community
by
completing
an
ethnography
43
Indigenous
across
8
tribes
in
Bengkulu
Province,
Sumatra,
Indonesia.
Data
collection
tools
were
interviews,
observations,
videos,
photographs,
a
researcher
journal.
Of
Healers,
30
used
animals
mentioned
62
species.
identified,
International
Union
for
Conservation
Nature
Red
List
lists
34%
(
n
=
21)
as
endangered,
decreasing,
or
vulnerable,
including
tiger
Panthera
tigris
sumatrae
),
elephant
Elephas
maximus
sumatranus
rhinoceros
Dicerorhinus
sumatrensis
).
using
animals,
50%
15)
practiced
healing
with
at
least
one
vulnerable
animal.
defined
3
personas:
Healer
self‐persona,
Healer‐imposed
persona,
community‐imposed
persona.
A
persona
represented
group's
opinions
sentiments
related
to
killing
medicinal
purposes.
Using
iterative
data
analysis
process,
we
grouped
personas
into
5
themes:
ease
preparing
emotions
animal
value,
relationship
religion,
are
tricksters.
The
complexity
merging
identities
within
actor‐network
embodies
relationality
actions,
feelings
between
community.
Conservationists
should
be
cognizant
Healers’
use
views
zootherapy
from
all
social
emotional
perspectives.
led
defining
ecological
knowledge
components
conservation.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(15), P. e34990 - e34990
Published: July 20, 2024
Rhus
aromatica
inhabits
humid
oak
and
oakpine
forests
in
the
State
of
Michoacán
(Mexico).
The
fruit
R.
is
edible
traditionally
used
preparation
soft
drinks,
ice
pops,
creams
'atole'.
objective
present
investigation
was
to
carry
out
a
physical
chemical
characterization
analysis
antioxidant
capacity
fruit.
For
characterization,
equatorial
longitudinal
diameter,
weight
percentage
pulp
were
determined.
In
proximal
carried
out,
quantification
polyphenols
flavonoids
performed,
results
showed
that
had
diameter
6.58
±
1.02
mm,
an
7.17
0.66,
55.22
5.47
mg,
40
%
proportion.
indicated
8.7
moisture,
30.6
lipids,
proteins,
29.4
total
sugars,
3.8
ashes
18.7
crude
fibre,
3.1
°Brix,
pH
3.1,
1.92
acidity
caloric
intake
4.27
kcal/g.
polyphenol
content
higher
60
ethanol
extracts
with
88.6
50.89
mg
EAG/g;
for
from
100
acetone,
it
26.52
0.65
EQ/g,
carotenoid
46.37
mg/100
g.
activity
80
87.17
inhibition
DPPH
radical
90
ABTS
without
showing
significant
difference
different
solvents
used.
lowest
IC50
values
presented
methanol
extracts.
lipid,
protein,
carotenoid,
contents
as
high
those
other
fruits
consumed
human
diet.
Advances in Agriculture,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
Horticulture,
a
critical
component
of
agriculture,
encounters
various
challenges,
including
crop
loss
stemming
from
factors
like
pests,
diseases,
adverse
weather
conditions,
and
inefficient
farming
practices.
The
introduction
advanced
technologies
such
as
robotics
artificial
intelligence
(AI)
holds
great
promise
in
mitigating
losses
bolstering
productivity
the
field
horticulture.
Robotic
systems
have
been
devised
to
automate
labor‐intensive
tasks
involved
horticulture,
harvesting,
pruning,
weeding.
Equipped
with
sensors,
cameras,
intelligent
algorithms,
these
robots
are
capable
identifying
ripe
fruits,
detecting
removing
weeds,
performing
precise
pruning
operations.
For
example,
Peixoto
et
al.
2015
employed
fuzzy
create
model
for
controlling
soybean
aphids,
significantly
improving
timing
predator
release
enhancing
integrated
pest
management
(IPM).
By
reducing
reliance
on
human
labor
operational
efficiency,
integration
robotic
solutions
contribute
minimization
augmentation
yields.
In
horticulture
reduction,
AI
plays
vital
role
when
coupled
machine
learning
algorithms.
analyzing
extensive
volumes
data
encompassing
patterns,
soil
occurrences
pests
can
provide
farmers
real‐time
insights
predictive
models.
This
allows
proactive
decision‐making
regarding
optimal
pesticide
application,
irrigation
scheduling,
disease
detection.
Consequently,
adopt
preventive
measures,
minimizing
optimizing
resource
utilization.
instance,
Ji
2007
developed
an
neural
network
(ANN)‐based
system
rice
yield
prediction
Fujian,
China,
accuracy
over
traditional
Moreover,
AI‐powered
imaging
techniques,
computer
vision,
enable
early
detection
nutrient
deficiencies
plants.
Early
empowers
take
prompt
action,
averting
further
spread
diseases
losses.
Tobal
Mokthar
2014
pioneered
AI‐assisted
image
processing
method
weed
identification,
introducing
evolutionary
ANN
optimize
parameters
using
genetic
algorithm.
However,
implementation
face
challenges
high
initial
costs,
need
technical
expertise,
sources.
Additionally,
small‐scale
may
find
it
difficult
due
financial
infrastructural
constraints.
harnessing
potential
AI,
sector
overcome
related
caused
by
These
technological
applications
offer
pathway
enhanced
productivity,
reduced
losses,
greater
sustainability
As
we
move
forward,
is
imperative
continue
advancing
integrating
technologies,
fostering
innovation
collaboration
between
technology
developers
community.
SHS Web of Conferences,
Journal Year:
2024,
Volume and Issue:
205, P. 01005 - 01005
Published: Jan. 1, 2024
This
study
aims
to
enhance
students'
critical
thinking
skills
in
selecting
building
materials
based
local
wisdom,
using
Discovery
Learning
model
through
use
of
social
media
as
learning
aid
at
SMKN
3
Tanjungpinang.
The
focus
research
is
improving
selection
that
suitable
for
geographical
conditions
Tanjungpinang
and
their
availability
surrounding
environment,
while
considering
adaptation
natural
disaster
risks.
method
employed
Classroom
Action
Research
with
six
stages
Learning:
stimulation,
problem
statement,
data
collection,
processing,
verification,
generalization.
involves
30
students
from
Building
Modeling
Information
Design
program.
Quantitative
conducted,
collected
observation,
pre-test,
post-test.
results
show
85%
demonstrated
good
thinking,
observation
comparison
pre-test
post-test
outcomes.
approach
proven
effective
facilitating
interactive
relevant
wisdom.
The
productivity
of
yam
in
Ghana
has
been
on
a
constant
decline
recently,
mainly
due
to
weather
extremes
and
nematode
infestations.
This
significantly
affected
the
profitability
production,
with
resultant
effect
livelihoods
thousands
income
dependent
households.
Several
techniques
have
developed
improve
situation.
study
purposes
estimate
production
under
novel
'wrap
plant'
technology
planting
seed
yam,
comparison
traditional
method
three
agro-ecological
zones
using
20
young
male-dominated
randomly
sampled
farmers.
term
refers
wrapping
abamectin
treated
banana
paper
(ABM)
before
soil.
is
prevent
migration
into
during
also
new
that
develops.
Each
farmer
was
supported
farm
four
demonstration
plots
144
mounds
all
(six
rows
six
mounds,
making
36
per
plot).
plots/sites
were
selected
treatments
(ABP)
abamectin,
(BP)
without
control,
representing
Farmer
Practice
(FP),
used
replications
site
for
both
dry
wet
seasons.
their
techniques,
abamectin-treated
(ABP),
untreated
(BP),
practice
(FP)
determined
Benefit
Cost
Ratio
(BCR)
analysis.
found
though
use
yielded
higher
net-benefits
compared
FP,
they
resulted
rather
lower
BCRs.
Using
FP
led
0.916
1.531
BCR
average,
ABP
BP,
respectively.
Although
this
affirms
as
most
profitable
technique,
increased
yields,
but
at
costs.
Farmers
are
willing
adopt
if
cost
further
reduced.
findings
reinforce
importance
lowering
adopting
order
make
such
