The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Land Use and Land Cover Classification with Sentinel-1 Time Series and Sentinel-2 Imagery Using ViT-U-Net Dual-Branch Network This repository contains the code for the thesis "Evaluating Vision ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: Accurate land use and land cover (LULC) classification from remote sensing images (RSIs) is a challenging task due to issues such as the coexistence of multiple objects, scale differences, ...

ABSTRACT: Waste generation in Kenya has been increasing with the rapid urbanization (Haregu et al., 2017; Okot-Okumu, 2012). Almost 50% of the waste is generated in urban centers, and 0.5 kg per ...

Abstract: Remote sensing for land use and land cover (LULC) classification using satellite imagery provides valuable insights to the prediction of the dynamical change of land use, the risk ...

ABSTRACT: Rapid peri-urbanization in agricultural highland corridors can erode natural capital and undermine water security, yet few studies provide spatially explicit, multi-decadal valuations of ...