SWAT-MODFLOW Version 3 hydrological modeling software development demands good source code comprehension and navigation tools. This article introduces a thorough Source Code Indexer (SCI) to help comprehend SWAT-MODFLOW Version 3 source code. The SCI uses advanced software visualization techniques to build code element dependency graphs,…[Read more]

Agricultural land systems are the result of human interactions with the natural environment, and subjective evidence of socio‐economic and environmental interactions has been demonstrated. Nevertheless, it is still difficult to analyze empirically the link between agricultural market and policy, as well as the environmental response due to c…[Read more]

Coupling hydrologic and crop models is becoming an increasingly important approach in the development of agro-hydrologic theme. Scientists and decision makers working to address issues in the areas of resource conservation and agricultural productivity are interested in the complementary processing of the two coupled systems. The objective of the…[Read more]

Mismanagement of rangelands worldwide has accelerated processes of overland flow and soil erosion, resulting in extensive land degradation. Wherever self-restoration processes of degraded rangelands are hindered or negated, active recovery efforts, coupled with livestock pressure management, might be needed. The objective of this review paper is…[Read more]

Hyperarid, arid, semiarid, and dry subhumid areas cover approximately 41% of the global land area. The human population in drylands, currently estimated at 2.7 billion, faces limited access to sufficient, affordable, and nutritious food. We discuss the interlinkages among water security, environmental security, energy security, economic security,…[Read more]

Coupling hydrologic and crop models is increasingly becoming an important task when addressing agro-hydrologic systems studies. Either for resources conservation or cropping systems improvement, the complex interactions between hydrologic regime and crop management components requires an integrative approach in order to be fully understood.…[Read more]

Coupling hydrologic and crop models is increasingly becoming an important task when addressing agro-hydrologic systems studies. Either for resources conservation or cropping systems improvement, the complex interactions between hydrologic regime and crop management components requires an integrative approach in order to be fully understood.…[Read more]

Synthetic Aperture Radar (SAR) remote sensing has emerged as a promising tool for soil moisture monitoring, due to its ability to penetrate clouds and measure the moisture content of the soil surface. In recent years, a wide range of SAR-based soil moisture retrieval techniques have been developed, from empirical regression models to…[Read more]

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Gene-based crop modelling is a rapidly evolving field that uses genetic data to improve crop breeding and management. The recent integration of artificial intelligence (AI) in gene-based crop modeling has enabled researchers to analyze large amounts of genetic data and identify patterns that are difficult for humans to detect. In this article…[Read more]

Gene-based crop modelling is a rapidly evolving field that uses genetic data to improve crop breeding and management. The recent integration of artificial intelligence (AI) in gene-based crop modeling has enabled researchers to analyze large amounts of genetic data and identify patterns that are difficult for humans to detect. In this article…[Read more]

Bard is a large language model from Google AI, trained on a massive dataset of text and code. It can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Bard has been shown to be effective in a variety of scientific applications, including data analysis,…[Read more]

There is a recognized need for implementing parallel computing within simulation models. Recently, there has been renewed interest in improving legacy models and their improvement in terms of hardware usage. Several studies have documented applications of environmental models using server, super- and high-performance computer frameworks. They…[Read more]

The core of agro-hydrologic research area is a multi-paradigms subject (i.e.: food security, climate variability, resources conservation, etc.). In order to make progress in understanding these dynamic structures, coupled models are becoming valuable instruments. They result from the sharing of data or processes within a determined system between…[Read more]