Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 11801 - 11801
Опубликована: Дек. 17, 2024
The
impact
of
artificial
intelligence
(AI)
in
biotechnology
has
become
increasingly
significant,
driving
advancements
across
multiple
subfields
several
areas
science.
demand
for
faster
data
analysis,
integration
extensive
databases,
pattern
recognition,
problem
solving,
and
even
hypothesis
generation
fueled
the
development
AI
technologies
subjects
like
modern
biotechnology,
which
revolutionized,
where
main
goal
is
to
develop
new
advanced
products
through
manipulation
biological
organisms.
impacts
observed
are
focused
on
four
colors
biotechnology:
green
(agricultural
sector);
red
(health
white
(industries);
blue
(marine
sector).
Numerous
tools
have
been
developed
made
freely
available,
significantly
reducing
researchers’
workloads.
However,
application
also
raises
questions
that
must
be
addressed.
This
review
exhibits
discusses
advantages
disadvantages
its
current
presence,
potential
ethical
issues
social
impacts.
Agronomy,
Год журнала:
2024,
Номер
14(4), С. 811 - 811
Опубликована: Апрель 13, 2024
The
shiitake
mushroom
(Lentinula
edodes)
is
globally
valued
for
its
nutrition
and
medicinal
properties.
New
technologies
aim
to
increase
production
with
less
environmental
impact,
considering
materials
such
as
charcoal
substrate
enrichment.
This
manuscript
evaluated
the
effect
of
fine
(FC)
on
formulation
two
L.
edodes
strains
(LED
20/11
LED
20/12).
consisted
72%
eucalyptus
sawdust,
12.5%
rice
bran,
wheat
3%
calcium
carbonate
(control
treatment
without
charcoal).
Treatments
FC
proportionally
reduced
use
doses
1%,
2%,
4%,
8%,
16%
(relative
material).
Yield,
number,
weight
were
evaluated.
concentration
significantly
affected
parameters
analyzed,
especially
at
4%
dose.
A
negative
correlation
between
number
was
observed.
For
yield,
control
lowest
dose
(1%)
had
highest
yields
first
harvest.
Strain
20/12
showed
lower
yield
variability
due
percentage
applied
substrate.
incorporation
into
cultivation
demonstrates
efficacy;
however,
both
strain
used
are
limiting
factors
applicability.
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(6), С. 1012 - 1012
Опубликована: Июнь 18, 2024
The
rapid
and
disordered
expansion
of
artificial
marine
aquaculture
areas
has
caused
severe
ecological
environmental
problems.
Accurate
monitoring
offshore
is
urgent
significant
in
order
to
support
the
scientific
sustainable
management
protection
coastal
resources.
Artificial
intelligence
provides
a
valuable
tool
improve
resource
monitoring.
Deep
learning
methods
have
been
widely
used
for
object
detection,
but
You
Only
Look
Once
(YOLO)
models
not
employed
area
This
study
therefore
evaluated
capacity
two
well-known
YOLO
models,
YOLOv5
YOLOv7,
detect
based
on
different
high-resolution
optical
remote
sensing
imagery.
Compared
with
YOLOv7
satellite
dataset,
increased
Precision
value
by
approximately
3.29%
(to
95.33%),
Recall
3.02%
93.02%),
mAP_0.5
2.03%
96.22%),
F1
score
2.65%
94.16%).
Based
Google
Earth
showed
similar
results.
We
found
that
spatial
resolution
could
affect
deep
models’
performances.
Real-ESRGAN
method
enhance
dataset
investigated
whether
super-resolution
(SR)
improved
detection
accuracy
models.
results
indicated
despite
improving
image
clarity
resolution,
SR
negatively
affected
performance
detection.
suggests
attention
should
be
paid
use
before
application
using
Annals of Animal Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 29, 2024
Abstract
The
current
work
investigates
the
prospective
applications
of
Artificial
Intelligence
(AI)
in
aquaculture
industry.
AI
depends
on
collecting,
validating,
and
analyzing
data
from
several
aspects
using
sensor
readings,
feeding
sheets.
is
an
essential
tool
that
can
monitor
fish
behavior
increase
resilience
quality
seafood
products.
Furthermore,
algorithms
early
detect
potential
pathogen
infections
disease
outbreaks,
allowing
stakeholders
to
take
timely
preventive
measures
subsequently
make
proper
decision
appropriate
time.
predict
ecological
conditions
should
help
farmers
adopt
strategies
plans
avoid
negative
impacts
farms
create
easy
safe
environment
for
production.
In
addition,
aids
analyze
collect
regarding
nutritional
requirements,
nutrient
availability,
price
could
adjust
modify
their
diets
optimize
feed
formulations.
Thus,
reduce
labor
costs,
aquatic
animal’s
growth,
health,
formulation
waste
output
detection
outbreaks.
Overall,
this
review
highlights
importance
achieve
sustainability
boost
net
profits
This
work
mapped
the
research
chronology
and
conceptual
trends
on
conservation
agriculture-soil
health-sustainable
development
goals
nexus
by
analyzing
data
from
related
literature.
is
first-time
different
bibliometric
methods
such
as
VOSviewer,
Flourish,
well
Bibliometrix
Biblioshiny
models
in
RStudio
were
simultaneously
used
to
investigate
impacts
and/or
interactions
between
agriculture
(CA),
soil
health
sustainable
at
global
scale.
On
20th
February
2024,
a
search
was
launched
web
of
science
core
collection
using
terms
extract
relevant
data.
After
screening
elimination,
produced
835
papers
which
analysis.
The
revealed
that
USA
(31%),
India
(27%),
Australia
(7%),
England
(6%),
China
Canada
(5%),
other
countries
had
below
5%
published
documents.
Many
covered
zero
hunger
(38%),
climate
action
(30%),
life
land
(26%),
while
SDGs
relatively
low
coverage.
study
found
adoption
no
till,
cover
cropping,
organic
amendments
authors
common
CA
practices.
hybrid
approach
provided
clear
roadmap
understanding
trajectory
CA-soil
nexus,
roles
countries,
authors,
institutions,
publishing
journals.
knowledge
could
support
championing
future
debates
potential
for
effective
discussion
policies,
especially
developing
where
there
have
been
publications.
