Assessment of importance-based machine learning feature selection methods for aggregate size distribution measurement in a 3D binocular vision system

Z Sun, H Liu, J Huyan, W Li, M Guo, X Hao… - Construction and Building …, 2021 - Elsevier
Aggregate size is usually measured by manual sampling and sieving. Machine vision
techniques can provide fast, non-invasive measurement. However, the traditional imaging …

Farmland Soil Block Identification and Distribution Statistics Based on Deep Learning

L Liu, Q Bi, J Liang, Z Li, W Wang, Q Zheng - Agriculture, 2022 - mdpi.com
Soil block distribution is one of the important indexes to evaluate the tillage performance of
agricultural machinery. The traditional manual screening methods have the problems of low …

Estimating soil aggregate size distribution from images using pattern spectra

P Bosilj, I Gould, T Duckett, G Cielniak - Biosystems Engineering, 2020 - Elsevier
Highlights•Trained regression models able to predict soil aggregate size distribution from
images.•Identification of the most suitable hierarchical representation for attribute pattern …