Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning
Assessment of Soil Fertility Using Induced Fluorescence and Machine Learning is a scholarly work by Dipankar Mandal, published in 2022 in ''Sensors''. The main subjects of the publication include chemistry, organic matter, soil organic matter, soil test, soil science, fertilizer, remote sensing, environmental science, soil fertility, chemometrics, digital soil mapping, machine learning, -, and sampling. Results showed that important soil properties such as soil organic matter, pH, and CEC can be estimated with a correlation of 0.74, 0.75, and 0.75, respectively.