Agricultura y alimentación

Beyond the Performance Illusion: Structure-Aware Stratified Partitioning and Curriculum Distributionally Robust Optimization for Spatially Correlated Domains

- Performance evaluation in AI systems commonly assumes that random dataset splits produce independent and identically distributed (i.i.d.) subsets. We show that this assumption often breaks down in...

Robust Image Processing Techniques for Construction Environment Monitoring Using Underwater Robots

- This paper proposes a robust image processing framework for underwater robot-based construction environment monitoring, targeting complex degradations observed in real marine environments. Unlike...

AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting

- 3D Gaussian Splatting (3DGS) has emerged as a powerful representation for high-fidelity rendering. However, existing assets often suffer from quality bottlenecks such as missing details and texture...

A Synthetic-Driven Vision System for Assembly Step Recognition

- Quality control in industrial assembly is essential, and real-time monitoring of the assembly process is crucial for preventing costly defects and ensuring production reliability. Vision-based...

AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography

- We present Aegis, a joint-embedding predictive architecture for breast cancer detection and density assessment in mammography. We train three Vision Transformer variants (Small/Base/Large) using...

Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation

- Agricultural advisory systems face a fundamental tension: static agronomic guidelines offer consistent, evidence-based recommendations, yet remain blind to in-season variability and dynamic...

Robust Base Station Placement in Agricultural IoT via Bayesian Optimization

- Precision-agriculture networks based on private 5G NR should ensure reliable connectivity for IoT sensor nodes throughout the crop growing season, yet the propagation environment changes dramatically...

Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance

- Near-Infrared (NIR) spectroscopy has emerged as a promising alternative to traditional soil analysis methods, offering advantages such as speed, low cost, and non-destructive testing. This work...

Food web complexity underlies biodiversity effects on ecosystem functioning

01/07/2026

A type of fibre that stimulates GLP-1 release approved for use in food

01/07/2026 - A form of fibre that boosts the release of the hunger-reducing hormone GLP-1 has been approved as safe by a European regulator, and could be added to foods within a year

From farm to market: institutional pathways to food safety in the Bangladeshi dairy sector

Immigration, cultural trade networks, and food system diversity in South Korea

Improving path-tracking performance of an articulated tractor-trailer system using a non-linear kinematic model

- This paper presents a novel non-linear mathematical model of an articulated tractor-trailer system that can be used, in combination with receding horizon techniques, to improve the performance of...

LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields

- Unstructured navigational features, such as irregular planting or discontinuities, remain the primary failure mode for under-canopy agricultural robots. Existing geometric approaches often fail in...

TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert Rules and Vision-Language Models

- Human-labeled data are widely used as reference annotations in ML, despite known variability across annotators in many expert-driven domains. In addition, expert annotation is slow, inconsistent, and...

LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment

- Fueled by increasing model scale and multimodal inputs, Multimodal Large Language Models (MLLMs) have emerged as a promising paradigm for Spoken Language Assessment (SLA). While effective, this...

Due-to-Heatwaves Faults in Urban Distribution System: An Identification Approach

- Distribution system faults occurring during heatwaves (HWs) are not all caused by the HW itself: concurrent factors such as asset ageing, mechanical defects, soil contamination, and operational...

GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis

- Prototype-based medical image classifiers present three clinical limitations: they treat findings as independent, silently amplify unsafe physician feedback, and require full retraining whenever a...

Near-Optimal Nitrogen Recommendations for Precision Agriculture via Sequential Screening and Hierarchical Refinement

- Nitrogen fertilizer management plays a central role in balancing agricultural productivity and environmental sustainability, yet identifying optimal application strategies remains difficult because...

Improving Efficiency of Regression Analyses by Integrating Data from Population-Representative Surveys: A Model-Assisted Calibration Approach

- The increasing availability of diverse data sources has motivated great interest in data integration for improving regression efficiency. Existing data integration methods primarily focus on...

Nutrition status among adults in the face of household food insecurity: a cross-sectional study in five different regions in senegal