Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran
S. Hojati,Asim Biswas,Mojtaba Norouzi Masir
2023 · DOI: 10.1007/s11119-023-10099-5
Precision Agriculture · 7 Citations
TLDR
Predict and digitally map the spatial distribution and related uncertainty of SAP while also assessing the impact of environmental factors on SAP variability in the topsoils to suggest that the RF algorithm had the least tendency to overestimate or underestimate SAP contents compared to other methods.