Results 161 to 170 of about 780,643 (285)

A Coupled AquaCrop–Richards Model for Improved Crop Yield Prediction Through Physically Based Soil Water Dynamics

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi   +2 more
wiley   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

open access: yesInternational Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque   +10 more
wiley   +1 more source

Bromelain as the enzyme of the future: A global bibliometric mapping of its applications and emerging trends

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract INTRODUCTION Bromelain, a complex mixture of proteolytic enzymes primarily extracted from plants of the Bromeliaceae family, has gained prominence because of its broad industrial applicability, particularly in the food, pharmaceutical and cosmetic sectors.
Genésio José da Silva Neto   +6 more
wiley   +1 more source

Assessing plant water status: Part 1 – Classical methods

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq   +7 more
wiley   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li   +5 more
wiley   +1 more source

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