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3321
Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions
Published 2025-01-01“…The rapid growth of the human population has significantly increased the demand for food, leading to the intensification of agricultural practices that negatively impact the environment. Climate change poses a significant threat to global food production, as it can disrupt crop yields and modify the lifecycle stages of phytopathogens and pests. …”
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3322
Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal
Published 2025-02-01“…Additionally, increasing trends in drought severity and duration suggest evolving climate change effects. These findings emphasize the urgent need for sustainable interventions to mitigate drought impacts on agricultural productivity. …”
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3323
Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework
Published 2025-01-01“…<p>There is evidence that climate change and human activities are changing ecohydrological systems, yet the complex relationships among ecological (normalized difference vegetation index, gross primary productivity, and water use efficiency) and hydrological variables (runoff, soil water storage, groundwater storage, etc.) remain understudied. …”
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3324
Experimental Performance Analysis of a Pilot-Scale Biomass-Assisted Recirculating Mixed-Flow Dryer for Drying Paddy
Published 2022-01-01“…However, fossil fuels cause air pollution, climate change, and disruption of ecological balance. …”
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3325
Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach.
Published 2025-01-01“…<h4>Background</h4>Leptospirosis is a neglected zoonotic disease prevalent worldwide, particularly in tropical regions experiencing frequent rainfall and severe cyclones, which are further aggravated by climate change. This bacterial zoonosis, caused by the Leptospira genus, can be transmitted through contaminated water and soil. …”
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3326
Weather identification using models based on deep learning
Published 2025-01-01“…Accurate weather forecasting is increasingly crucial as climate change intensifies the unpredictability of weather patterns, posing challenges to traditional forecasting models reliant on human observation or numerical methods. …”
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3327
Genotypic variability in stress responses of Sorghum bicolor under drought and salinity conditions
Published 2025-01-01“…IntroductionSorghum bicolor: widely cultivated in Asia and Africa, faces increasing challenges from climate change, specifically from abiotic stresses like drought and salinity. …”
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3328
Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models
Published 2025-01-01“…The future changes in EREs projected by these models for four climate change scenarios—Shared Socioeconomic Pathways (SSPs), 1–2.6, 2–4.5, 3–7.0 and 5–8.5 were estimated using percentile thresholds. …”
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3329
How to Achieve a 50% Reduction in Nutrient Losses From Agricultural Catchments Under Different Climate Trajectories?
Published 2024-07-01“…Overall, this study successfully demonstrated a modeling approach for evaluating best‐management practices under diverging climate change trajectories, tailored to the catchment characteristics and specific nutrient reduction targets.…”
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3330
Exploring household water conservation behaviors in Saudi Arabia: A structural equation modeling approach
Published 2025-03-01“…Water conservation is crucial for human sustainable development, particularly in the face of increasing global challenges such as freshwater scarcity, rapid urbanization, and climate change. This study employs structural equation modeling (SEM) to investigate water conservation behaviors among households in Saudi Arabia. …”
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3331
A globalizáció és a kohéziós politika hatása Magyarországon a 2014-2020-as időszakban (Globalisation and the Effect of the Cohesion Policy in Hungary in 2014-2020)
Published 2016-08-01“…According to the EU budget for 2014-2020 the cohesion policy invests 325 billion euros in member states in order to be able to accomplish the aims related to growth and the creation of workplaces and deal with the challenges of climate change, energy dependency and social exclusion. …”
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3332
Evaluation and Analysis of Soil Temperature Data over Poyang Lake Basin, China
Published 2020-01-01Get full text
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3333
Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions
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3334
Spatiotemporal Variability and Change of the South China Spring Precipitation during 1961–2012
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3335
Assessing Critical Raw Materials and Their Supply Risk in Energy Technologies—A Literature Review
Published 2024-12-01“…Climate change is leading modern society to seek innovative solutions for sustainable development and a zero-carbon economy. …”
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3336
“Pillaring Effects” in Cross-Linked Cellulose Biopolymers: A Study of Structure and Properties
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3337
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3338
DETERMINATIONS OF THE SOWING TIME OF GRASS PEA IN TEF- GRASS PEA RELAY INTERCROPPING SYSTEMS
Published 2024-12-01“…However, the productivity of grass pea in the tef-grass pea double cropping system is extremely unreliable due to the shortening of the growing period as a result of climate change. Tef-grass pea relay intercropping has practiced without a defined planting date for grass peas after tef sowing. …”
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3339
Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem
Published 2021-01-01“…The artificial intelligence (AI) algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. A new model is developed in this study for prediction of daily rainfall for different lead times based on sea level pressure (SLP) which is physically related to rainfall on land and thus able to predict unseen rainfall events. …”
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3340
Validation of DSDs of GPM DPR with Ground-Based Disdrometers over the Tianshan Region, China
Published 2024-12-01“…Accurately monitoring the spatiotemporal distribution of precipitation in the Tianshan Mountains is crucial for understanding global water cycles and climate change. Raindrop Size Distribution (DSD) parameters play an important role in improving quantitative precipitation estimation with radar and understanding microphysical precipitation processes. …”
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