Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
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 ...
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 ...
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 ...