Sensor Based Technology for Predicting Soil Organic Carbon (Organic Matter) Kent Martin.
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Sensor Based Technology for Predicting Soil Organic Carbon (Organic Matter)Kent Martin
Organic matter is the most complex, dynamic, and reactive soil component.Because of the importance of organic matter in soils, its estimation is important in disciplines ranging from soil fertility, chemistry, and physics to land planning and soil productivity.
Soil Organic Matter: Analysis and Interpretation
3H2 + N2 2NH3
PLANT AND ANIMAL
(1200°C, 500 atm)
MATERIALS WITH N
CONTENT > 1.5%
MATERIALS WITH N
CONTENT < 1.5%
R-NH2 + ENERGY + CO2
R-NH2 + H2O
R-OH + ENERGY + 2NH3
and T. thioparus
2NH4+ + 2OH-
2NO2- + H2O + 4H+
N2 DIATOMIC N0
N2O NITROUS OXIDE1
NO NITRIC OXIDE2
(SSCM) Site-specific Crop ManagementHummel and SudduthAims to improve production efficiency by adjusting crop treatments to varying local conditions within the field.
Optical SensorUses NIR reflectance data at many different narrow-banded wavelengthsMore complex, but more expensive and less durable than single-band sensorIntended use: soil organic matter
Steps of sensor operation1.Emit light using fiber optics2. Light is reflected from soil surface3.Light is captured by photodetector4.Data is sent to PC
Effective Sensing Range 1630- 2650nm
Prediction of organic carbon in the laboratory
Prediction was based on many variable soil types and variable moisture contents.Accuracy for SOM r^2= 0.89Accuracy for moisture r^2= 0.94