Development of Mathematical and Computational Models for Predicting Agricultural Soil–Water Management Properties (ASWMPs) to Optimize Intelligent Irrigation Systems and Enhance Crop Resilience

Agronomy, Год журнала: 2025, Номер 15(4), С. 942 - 942

Опубликована: Апрель 12, 2025

Soil–water management is fundamental to plant ecophysiology, directly affecting resilience under both anthropogenic and natural stresses. Understanding Agricultural Soil–Water Management Properties (ASWMPs) therefore essential for optimizing water availability, enhancing harvest resilience, enabling informed decision-making in intelligent irrigation systems, particularly the face of climate variability soil degradation. In this regard, present research develops predictive models ASWMPs based on grain size distribution dry bulk density soils, integrating traditional mathematical approaches advanced computational techniques. By examining 900 samples from NaneSoil database, spanning diverse crop species (Avena sativa L., Daucus carota Hordeum vulgare Medicago Phaseolus vulgaris Sorghum Pers., Triticum aestivum Zea mays L.), several are proposed three key ASWMPs: soil-saturated hydraulic conductivity, field capacity, permanent wilting point. Mathematical demonstrate high accuracy (71.7–96.4%) serve as practical agronomic tools but limited capturing complex soil–plant-water interactions. Meanwhile, a Deep Neural Network (DNN)-based model significantly enhances performance (91.4–99.7% accuracy) by uncovering nonlinear relationships that govern moisture retention availability. These findings contribute precision agriculture providing robust soil–water management, ultimately supporting against environmental challenges such drought, salinization, compaction.

Язык: Английский

Production of Highway Landslide Susceptibility Map with Machine Learning Techniques: A Local Study from Türkiye, Artvin-Ardanuç Road Line

International Journal of Computational and Experimental Science and Engineering, Год журнала: 2025, Номер 11(2)

Опубликована: Май 14, 2025

Landslide (landslide) is a natural event that occurs when the upper layer of soil slips away certain parameters are met. This in many places world. In Turkey, landslides observed especially Eastern Black Sea Region. Therefore, landslide susceptibility map was tried to be produced order investigate question how sensitive piece land can as region. particular, it important determining highway line. our study, taxonomy 35 km road line between Ardanuç District Artvin Province, 65.36 km2 region area determined by considering 11 elements such altitude, aspect, moisture index, precipitation, curvature, curvature angle, cover, lithology, distance drainage networks, fault lines, and slope. The maps were divided into five classes very high, medium, low low. predictive skills models examined supervised algorithms machine learning linear regression, logistic support vector machine, decision tree random forest XG Boost (extreme gradient boosting) which would most suitable model.

Язык: Английский