Today's data-driven agriculture demands access to high-resolution spatial and temporal soil data streams. Soil spectroscopy can help fill this data gap. Diffuse reflectance spectroscopy is becoming an indispensable tool in soil science; however, several technical challenges still limit its broader application outside of research projects.
SoilSpec4GG is a USDA-funded Food and Agriculture Cyberinformatics Tools Coordinated Innovation Network. This project will bring together soil scientists, spectroscopists, informaticians, data scientists and software engineers to overcome some of the current bottlenecks preventing wider and more efficient use of soil spectroscopy. A series of working groups will be formed to address topics including calibration transfer, model choice, outreach & demonstration, and use of spectroscopy to inform global carbon cycle modeling.
Data and software / computing will be served through robust and easy to use web-services and API. Users should be able to upload their soil spectroscopy readings and obtain callibrations in near-to-real time.
SoilSpec4GG wants to hear from you. Please complete this survey if you are interested in learning more about or participating in various soil spectroscopy related community science efforts: https://forms.gle/P7EsuzL4hf9zjDXw9
Interesting multistep modeling process using VNIR data on Moroccan soils - clustering, classification then ensemble modeling within each class. Slightly outperforms PLSR, NN and MBL for some properties but not for all.