3 papers
eess.IV2020
Volumetric based mass flow estimation on sugarcane harvesters
Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr +1
Yield monitors on harvesters are a key component of precision agriculture. Mass flow estimation is the critical factor to measure, and having this allows for field productivity ana…
cs.CV2020
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images
Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr +1
Mass flow estimation is of great importance to several industries, and it can be quite challenging to obtain accurate estimates due to limitation in expense or general infeasibilit…
cs.CV2019
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth
Muhammad K A Hamdan, Daine T. Rover, Matthew J. Darr +1
Supervised learning is the workhorse for regression and classification tasks, but the standard approach presumes ground truth for every measurement. In real world applications, lim…