Machine learning in the evaluation and prediction models of biochar application: A review.

This article reviews recent studies applying machine learning (ML) approaches to biochar applications. We first briefly introduce the general biochar production process. Various aspects are contained, including the biochar application in the elimination of heavy metals and/or organic compounds and the biochar application in environmental and economic scopes, for instance, food security, energy, and carbon emission.

[RAPD analysis for the genetic diversity of Brassica rapa in Tibet].

Tibet, a most beautiful place, locating in southwestern China. She has been called as the third pole of the earth. Unique geological history, complex land surface and climatic zones, various soil types, all different wild vegetations etc.