I want to directly measure soil organic matter. There are devices that depend on the amount of light reflected from the soil to measure organic matter. Is there a simple sensor that can be associated with microcontrollers?
@ Mustafa, electromagnetic sensors can measure the various components of soil properties such as soil texture, cation exchange capacity (CEC), drainage conditions, organic matter level, salinity, and subsoil characteristics.
Optical sensors measure the reflectance, absorption, or transmittance characteristics of the soil. They use light reflectance to measure soil organic matter, soil moisture, mineral composition, clay content, soil color, organic carbon, pH, and cation exchange capacity. n this study, a soil organic matter measuring method based on an artificial olfactory system (AOS) has been designed.An array composed of 10 identical gas sensors controlled at different temperatures are used to collect soil gases. From the response curve of each sensor, four features were extracted (maximum value, mean differential coefficient value, response area value, and the transient value at the 20th second). Then, soil organic matter regression prediction models were built based on back-propagation neural network (BPNN), support vector regression (SVR), and partial least squares regression (PLSR). The prediction performance of each model is evaluated using the coefficient of determination (R2), root-mean-square error (RMSE), and the ratio of performance to deviation (RPD). It was found that the R2 values between prediction (from BPNN, SVR, and PLSR) and observation were 0.880, 0.895, and 0.808. RMSEs are 14.916, 14.094, and 18.890, and RPDs are 2.837, 3.003, and 2.240, respectively. SVR had higher prediction ability than BPNN and PLSR and can be used to accurately predict organic matter contents. Thus, our findings offer brand new methods for predicting SOM.