Review History for Machine learning based estimation of field-scale daily, high resolution, multi-depth soil moisture for the Western and Midwestern United States [PeerJ]

The results of high-resolution machine learning-based estimation of daily soil moisture for the western and midwestern United States are eligible for PeerJ submission. The article is written in high-quality English and is well structured. A consistent and logical presentation of the material contributes to the reader's perception of information. Also, the article is well filled with illustrative material that enhances its informativeness. The tested research algorithm made it possible to qualitatively reveal the essence of the problem of soil moisture assessment using machine learning methods.