Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Machine learning methods for land use and land cover (LULC) classification are vital for monitoring environmental changes. Remote sensing advancements increase the potential for classifying land cover ...

Machine learning unlocks secrets of soil contamination via satellites The findings come at a critical time. Traditional soil sampling, which relies on discrete data points, struggles to provide ...

Soil Type Classification Through Image Processing and Machine Learning This project is in development process for our Thesis Project.

Estimation of soil water content based on simulated multi-spectral broadband reflectance and machine learning 1 Estimativa do conteúdo de água do solo com base na reflectância simulada de banda larga ...

Moreover, the inversion accuracy of soil salinization monitoring models built using different feature combinations was compared across five machine learning algorithms: Support Vector Machine (SVM), ...

Soil Health Monitoring through Microbiome-Based Machine Learning: Soil health is critical for maintaining agroecosystems’ ecological and commercial value, requiring the assessment of biological, ...

The application of machine learning (ML) has accelerated the development of laser-induced breakdown spectroscopy (LIBS) in soil analysis. However, analyzing remote LIBS data in real time using ML is ...

Understanding the soil level settings on your washing machine can help you achieve better cleaning results and save resources, such as laundry detergent.