EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...
IEEE

Disease Detection in Grape Cultivation Using Strategically Placed Cameras and Machine Learning Algorithms With a Focus on Powdery Mildew and Blotches

Abstract: Grape cultivation faces various challenges, such as pests, management, fertilizer quality, and diseases caused by bacteria, fungi, and viruses. Notably, powdery mildew and blotches are ...
GitHub

scikit-learn-contrib/scikit-learn-extra

scikit-learn-extra is a Python module for machine learning that extends scikit-learn. It includes algorithms that are useful but do not satisfy the scikit-learn inclusion criteria, for instance due to ...
IEEE

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

Abstract: Developments in space-based hyperspectral sensors, advanced remote sensing, and machine learning can help crop yield measurement, modelling, prediction, and crop monitoring for loss ...