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.
Reviews in Aquaculture,
Год журнала:
2025,
Номер
17(2)
Опубликована: Фев. 9, 2025
ABSTRACT
The
aquaculture
industry
is
a
significant
source
of
food
proteins
and
other
essential
nutrients,
providing
the
much‐needed
requirements
for
human
nutrition.
However,
identifying
sustainable
affordable
feed
ingredients
growing
sector
remains
challenge
industry.
African
sector,
in
particular,
developing
discernibly
but
faces
distinct
socioeconomic
infrastructural
challenges.
Elevated
usage
fishmeal
financially
challenging
associated
with
ecological
risks.
This
review
examines
potential
alternative
protein
sources
growth
while
addressing
challenges,
including
lack
processing
technology
investments,
availability,
economic
viability,
policy
regulations,
social
conflicts,
anti‐nutritive
substances.
Alternative
have
considerable
terms
sustainability
viability.
By‐products
from
animals
could
be
most
promising
near
future,
as
they
are
cost‐effective,
available,
do
not
compete
humans
source.
Insect
alternatives
utilization
consumption.
Shortfalls
technology,
infrastructure,
targeted
investments
bottlenecks
that
must
resolved
to
increase
production.
The
innovations
of
the
"Omics
Era"
have
ushered
in
significant
advancements
genetic
improvement
agriculturally
important
animal
species
through
transforming
genetics,
genomics
and
breeding
strategies.
These
were
often
coordinated,
part,
by
support
provided
over
30
years
1993-2023
National
Research
Support
Project
8
(NRSP8,
Animal
Genome
Program,
NAGRP)
affiliate
projects
focused
on
enabling
genomic
discoveries
livestock,
poultry,
aquaculture
species.
parallel
advances
demand
strategic
planning
future
research
priorities.
This
paper,
as
an
output
from
May
2023
Aquaculture
Genomics,
Genetics,
Breeding
Workshop,
provides
updated
status
resources
for
United
States
species,
highlighting
major
achievements
emerging
Finfish
shellfish
genome
omics
enhance
our
understanding
architecture
heritability
performance
production
traits.
Workshop
identified
present
aims
genomics/omics
to
build
this
progress:
(1)
advancing
reference
assembly
quality;
(2)
integrating
multi-omics
data
analysis
traits;
(3)
developing
collection
integration
phenomics
data;
(4)
creating
pathways
applying
information
across
industries;
(5)
providing
training,
extension,
outreach
application
phenome.
focuses
should
emphasize
collection,
artificial
intelligence,
identifying
causative
relationships
between
genotypes
phenotypes,
establishing
apply
tools
industries,
expansion
training
programs
next-generation
workforce
facilitate
sciences
into
operations
productivity,
competitiveness,
sustainability.
collective
vision
with
focus
highlighted
priorities
is
intended
continued
advancement
genomics,
genetics
community
industries.
Critical
challenges
ahead
include
practical
analytical
frameworks
beyond
academic
communities
that
require
collaborative
partnerships
academia,
government,
industry.
scope
review
encompasses
use
applications
study
aquatic
animals
cultivated
human
consumption
settings
throughout
their
life-cycle.
Reviews in Aquaculture,
Год журнала:
2024,
Номер
16(4), С. 1947 - 1980
Опубликована: Июнь 19, 2024
Abstract
The
upsurge
in
the
usage
of
plastics
on
a
global
scale
has
led
to
widespread
occurrence
microplastics
(MPs)
aquatic
environments.
This
review
starts
by
outlining
current
scenario
plastic
production.
It
then
delves
into
various
sources
and
their
entry
systems,
including
impact
fisheries
aquaculture
sector.
detailed
analysis
methods
degradation
small
sized,
MPs
followed
transport,
uptake
trophic
transference
have
been
reviewed
systematically.
Besides,
summarizes
knowledge
impacts
MPs,
additives
associated
contaminants
organisms
living
environment,
particularly
fish
thriving
cultured
conditions.
effects
alone
association
with
other
like
heavy
metals,
organic
pollutants
leachates
reveal
serious
such
as
cytotoxicity,
immune
response,
oxidative
stress,
neurotoxicity,
barrier
attributes
genotoxicity
among
species
particularly,
fish.
In
addition,
present
discusses
invasion
explores
risk
assessment
both
terms
exposure
toxicological
risks
biochemical
nature,
size,
shape
concentration
MPs.
management
strategies
future
prospective
control
hazards
also
highlighted.
summary,
outlines
sources,
fate,
environment
highlighting
need
recognize
pollution
threat
formulate
prevention,
reduce,
reuse
safe
disposal
material.
(1)
Background:
this
study
investigates
the
impact
of
acid
value
changes
on
thermal
degradation
and
fire
risks
palm
oil.
It
emphasizes
need
for
systematic
risk
management
in
food
manufacturing
preparation
processes
to
address
safety
challenges
associated
with
high-temperature
operations.
(2)
Methods:
employed
reproduction
experiments,
characterization
tests,
analyses,
including
differential
scanning
calorimetry
thermogravimetric
analysis.
(3)
Result:
higher
values
oil
significantly
reduce
smoke
points,
ignition
stability,
primarily
due
increased
free
fatty
acids
oxidative
by-products.
These
effects
are
more
pronounced
environments,
highlighting
importance
controlling
mitigate
risks.
(4)
Conclusions:
concludes
that
reduces
its
stability
elevates
accelerated
oxidation
decomposition.
monitoring
implementing
temperature
control
measures
enhance
cooking
processes.
Aquaculture Fish and Fisheries,
Год журнала:
2025,
Номер
5(1)
Опубликована: Янв. 16, 2025
ABSTRACT
Increasing
consideration
of
welfare
in
aquaculture
has
prompted
interest
non‐invasive
methods
monitoring
that
avoid
unnecessary
stress
and
handling.
Machine
vision
(MV)
provides
a
potential
solution
to
these
needs,
as
it
can
be
used
for
animal
health
real‐time.
We
examined
the
practical
applications
MV
aquaculture,
hardware
algorithms
automated
data
collection,
main
challenges
solutions
processing
analysis.
The
most
common
application
been
estimation
size‐related
metrics
(growth,
biomass)
fish,
but
key
aspects
welfare,
such
parasites
disease
or
detection
stress‐related
behaviours,
are
lagging
behind.
Numerous
camera
setups
have
used,
ranging
from
single
stereoscopic
cameras
emersed
submerged
cameras,
often
under
optimal
conditions
may
not
always
reflect
those
prevalent
industry
(high
densities,
low
visibility),
likely
overestimating
performance.
Object
algorithms,
YOLO,
approach
choice
our
review
identified
an
increasing
number
alternatives
help
circumvent
some
posed
by
high
densities
poor
lighting
typical
commercial
farms.
transform
there
still
important
need
overcome
before
become
mainstream,
namely
ability
detect
ectoparasites
diseases,
identify
abnormal
work
across
taxa,
particularly
crustaceans.
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2614 - e2614
Опубликована: Янв. 10, 2025
In
intertidal
mudflat
culture
(IMC),
the
fishing
efficiency
and
degree
of
damage
to
nature
have
always
been
a
pair
irreconcilable
contradictions.
To
improve
razor
clam
at
same
time
reduce
natural
environment,
in
this
study,
burrows
dataset
is
established,
an
intelligent
method
proposed,
which
realizes
accurate
identification
counting
by
introducing
object
detection
technology
into
activity.
A
model
called
culture-You
Only
Look
Once
(IMC-YOLO)
proposed
study
making
improvements
upon
You
version
8
(YOLOv8).
firstly,
end
backbone
network,
Iterative
Attention-based
Intrascale
Feature
Interaction
(IAIFI)
module
was
designed
adopted
model's
focus
on
advanced
features.
Subsequently,
effectiveness
detecting
difficult
targets
such
as
with
small
sizes,
head
network
refactored.
Then,
FasterNet
Block
used
replace
Bottleneck,
achieves
more
effective
feature
extraction
while
balancing
accuracy
size.
Finally,
Three
Branch
Convolution
Attention
Mechanism
(TBCAM)
enables
specific
region
interest
accurately.
After
testing,
IMC-YOLO
achieved
mAP50,
mAP50:95,
F1best
0.963,
0.636,
0.918,
respectively,
representing
2.2%,
3.5%,
2.4%
over
baseline
model.
Comparison
other
mainstream
models
confirmed
that
strikes
good
balance
between
numbers
parameters.