afsis-soil-chem-tutorial | usage tutorial for the AWS Public Dataset

afsis-soil-chem-tutorial is a HTML library. afsis-soil-chem-tutorial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The dataset hosted at arn:aws:s3:::afsis contains field and laboratory measurements of soil samples collected through the Africa Soil Information Service (AfSIS) project, which spanned from 2009 through 2018. Georeferenced soil samples were collected from many countries throughout Sub-Saharan Africa, and their nutrient content was analyzed using both wet chemistry (e.g. Mehlich-3) and dry chemistry (e.g., infrared spectroscopy, x-ray fluorescence). The two types of data can be paired to form a training dataset for machine learning, such that certain nutrients measured by wet chemical analyses can be well predicted from dry chemistry.