Fertigation: A Paradigm Shift in Nutrient Delivery for Sustainable Agriculture
Опубликована: Янв. 1, 2025
Язык: Английский
Harvesting sustainability: Innovations and practices in modern agriculture
Green Technologies and Sustainability,
Год журнала:
2025,
Номер
3(3), С. 100192 - 100192
Опубликована: Фев. 25, 2025
Язык: Английский
Agriculture: the next machine-learning frontier
Al-Maadeed Somaya,
Akbari Younes
Elsevier eBooks,
Год журнала:
2025,
Номер
unknown, С. 363 - 380
Опубликована: Янв. 1, 2025
Язык: Английский
Plant Disease Epidemiology in the Age of Artificial Intelligence and Machine Learning
Agriculture Communications,
Год журнала:
2025,
Номер
unknown, С. 100089 - 100089
Опубликована: Май 1, 2025
Язык: Английский
Adapting Vision Foundation Models for Plant Phenotyping
Опубликована: Окт. 2, 2023
Foundation
models
are
large
pre-trained
on
tremendous
amount
of
data.
They
can
be
typically
adapted
to
diverse
downstream
tasks
with
minimal
effort.
However,
as
foundation
usually
images
or
texts
sourced
from
the
Internet,
their
performance
in
specialized
domains,
such
plant
phenotyping,
comes
into
question.
In
addition,
fully
fine-tuning
is
time-consuming
and
requires
high
computational
power.
This
paper
investigates
efficient
adaptation
for
phenotyping
settings
tasks.
We
perform
extensive
experiments
three
models,
MAE,
DINO,
DINOv2
essential
tasks:
leaf
counting,
instance
segmentation,
disease
classification.
particular,
pretrained
backbones
kept
frozen,
while
two
distinct
methods
evaluated,
namely
adapter
tuning
(using
LoRA)
decoder
tuning.
The
experimental
results
show
that
a
model
efficiently
multiple
tasks,
yielding
similar
state-of-the-art
(SoTA)
specifically
designed
trained
each
task.
Despite
exhibiting
great
transferability
over
different
fine-tuned
slightly
worse
than
SoTA
task-specific
some
scenarios,
which
further
investigation.
Язык: Английский
GIS spatial optimization for agricultural crop allocation using NSGA-II
Information Processing in Agriculture,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 1, 2024
This
study
focuses
on
the
shift
from
traditional
farming
methods,
reliant
farmer
intuition
and
manual
processes,
to
modern,
automated
approaches
crucial
for
Thailand's
agricultural
sustainability.
Despite
its
vital
role
in
country's
economy,
outdated
practices
lead
supply
imbalances
perpetuate
poverty
among
smallholder
farmers.
Using
geographic
information
systems
(GIS)
mathematical
optimization,
present
aims
determine
optimal
crop
allocation.
A
multi-objective
optimization
spatial
allocation
model
leverages
geospatial
data,
including
crop,
soil
climate
suitability,
enhance
accuracy
of
our
model.
Additionally,
we
incorporate
economics
such
as
market
price,
yield,
production
cost,
distances
secondary
producers,
budget
limitations,
minimum
requirements.
To
speedup
convergence
algorithm,
introduce
more
suitable
crossover
mutation
operators
NSGA-II,
aiming
direct
search
towards
Pareto
solutions.
We
demonstrate
effectiveness
approach
a
case
area
Chiang
Mai
province,
Thailand,
focusing
three
major
industrial
crops:
corn,
cane,
rice.
Our
suggests
land
that
adheres
both
constraint
requirements,
while
retaining
only
small
surplus
each
crop.
The
successful
implementation
this
marks
significant
advancement
Thai
research,
paving
way
long-term
economic
environmental
Язык: Английский
Change in geo-environmental conditions and crop productivity
Advances in food security and sustainability,
Год журнала:
2024,
Номер
unknown, С. 33 - 57
Опубликована: Янв. 1, 2024
Язык: Английский
Identification of drought and heat tolerant tepary beans in a multi‐environment trial study
Crop Science,
Год журнала:
2024,
Номер
64(6), С. 3399 - 3416
Опубликована: Сен. 29, 2024
Abstract
Abiotic
constraints,
such
as
drought
and
heat
driven
by
climate
change,
negatively
impact
the
production
of
common
bean
(
Phaseolus
vulgaris
L.),
an
essential
grain
legume
worldwide.
The
ability
to
tolerate
stress
in
can
be
improved
introducing
genetic
variation
from
related
species,
tepary
acutifolius
A.
Gray),
which
has
recently
gained
attention
because
its
adaptation
stresses
potential
use
a
resource
alternative
crop.
To
better
understand
phenotypic
response
multiple
environments
trials
select
highly
adapted
beans,
we
conducted
two
field
experiments.
In
Experiment
1,
compared
n
=
10),
Lima
lunatus
L.;
9)
assessing
reduction
yield
under
terminal
well‐irrigated
conditions
California
locations
with
arid
summer
conditions.
Of
three
showed
statistically
strongest
drought,
followed
bean.
2,
evaluated
set
22
beans
contrasting
origins
for
across
multi‐environment
(METs)
California,
Nebraska,
Colombia,
control.
We
found
considerable
these
MET
conditions,
result
strong
genotype
×
environment
interaction.
Also,
identified
accessions
heat,
zones.
Understanding
performance
identifying
broad
target‐specific
will
maximize
species.
Язык: Английский
Resilient soils for a changing climate: Navigating the future of sustainable agriculture
M. A. Rashmi,
M Gopalakrishnan,
R. Rajeswari
и другие.
Plant Science Today,
Год журнала:
2024,
Номер
11(sp4)
Опубликована: Дек. 31, 2024
Climate
change
poses
a
critical
threat
to
global
food
security
and
ecosystem
sustainability,
with
soils
serving
as
the
backbone
of
Earth’s
ecosystems.
This
comprehensive
review
synthesizes
current
understanding
how
climate
impacts
soil
health,
emphasizing
intricate
interactions
between
soil’s
physical,
chemical,
biological
properties.
Rising
temperatures,
altered
precipitation
patterns,
increasingly
frequent
extreme
weather
events
severely
degrade
structure,
reduce
fertility,
disrupt
biodiversity.
These
changes
accelerate
erosion,
nutrient
depletion,
significantly
diminish
agricultural
productivity.
explores
innovative
strategies
enhance
resilience,
focus
on
conservation
agriculture,
cover
cropping,
integrated
management.
Conservation
agriculture
practices
improve
structure
water
retention,
while
cropping
increases
organic
matter
supports
cycling
processes.
Integrated
management
ensures
balanced
supply
essential
nutrients
promotes
beneficial
microbial
activity,
further
bolstering
health
resilience.
The
importance
adopting
holistic,
resilience-based
approach
is
vital
mitigate
adverse
effects
change,
preserve
services,
secure
sustainable
productivity
for
future
generations.
provides
insights
policymakers,
researchers,
practitioners,
offering
practical
solutions
safeguard
ensure
in
face
challenges
posed
by
rapidly
changing
climate.
Язык: Английский
ABA-responsive small RNAs contribute to drought stress memory by regulating antioxidant activity and lignification
Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 4, 2023
Abstract
Previously
we
showed
that
a
single
exogenous
application
of
Abscisic
acid
(ABA)
on
Arabidopsis
in
early
developmental
stages
results
enhanced
plant
biomass
and
drought
tolerance
the
adult
plants.
Here
tested
hypothesis
small
RNAs
(sRNAs),
including
micro
(miRNAs)
interfering
(siRNAs),
contribute
to
observed
ABA
effects.
We
sequenced
sRNA
populations
plants
were
sprayed
with
or
water
at
cotyledonary
stage
two
time-points,
4
hours
14
days
after
spraying.
Analyses
sRNAs
revealed
hours,
four
miRNA
families,
miR408,
miR398,
miR397,
miR393,
significantly
down-regulated
by
application.
These
miRNAs
are
all
copper-induced
miRNAs,
which
known
be
involved
regulation
antioxidant
enzymes
lignification
metabolic
pathways.
After
days,
miR395
miR169
families
up-regulated,
while
miR399
miR827
ABA-treated
mostly
characterized
as
regulators
macronutrient
uptake.
identified
77
30
differentially
expressed
siRNA
loci
first
second
time-points
respectively.
Interestingly,
majority
these
ABA-responsive
siRNAs
found
mainly
associated
non-coding
regions
genome,
well
genes
related
photosynthesis,
particularly
those
encoding
light-harvesting
complex
proteins.
In
summary,
our
data
suggest
positive
effects
increasing
capacity
short-term
nutrient
uptake
long
term.
Язык: Английский