Before revision:  However, the acquisition of high-resolution (HR) imagery of roots in situ remains a challenge. 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:  However, the acquisition of high-resolution (HR) imagery of plant roots is more challenging than above-ground data collection. Thus, an effective super-resolution (SR) convolutional neural networks (CNNs) to boost the resolution capability of a backscatter X-ray system designed to image buried roots.