Before revision:  We apply super-resolution (SR)  convolutional neural networks (CNNs) to boost the resolution capability of a backscatter X-ray system designed to image buried roots.
After revision:  We apply super-resolution (SR) algorithm is desired for overcoming resolution limitations of sensors, reducing storage space requirements, and boosting the performance of later analysis, such as automatic segmentation. We propose a SR framework for enhancing images of plant roots by using convolutional neural networks (CNNs) to boost the resolution capability of a backscatter X-ray system designed to image buried roots.