Sensor based technology for predicting soil organic carbon organic matter kent martin
Download
1 / 13

Sensor Based Technology for Predicting Soil Organic Carbon Organic Matter Kent Martin - PowerPoint PPT Presentation


  • 272 Views
  • Uploaded on

Sensor Based Technology for Predicting Soil Organic Carbon (Organic Matter) Kent Martin.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Sensor Based Technology for Predicting Soil Organic Carbon Organic Matter Kent Martin' - neona


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

Soil organic matter analysis and interpretation

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


3H soil component.2 + N2 2NH3

GLOBAL WARMING

ATMOSPHERE

N2O

NO

N2

INDUSTRIAL

FIXATION

LIGHTNING,

RAINFALL

N2 FIXATION

PLANT AND ANIMAL

RESIDUES

HABER BOSCH

(1200°C, 500 atm)

SYMBIOTIC

NON-SYMBIOTIC

MESQUITE

RHIZOBIUM

ALFALFA

SOYBEAN

BLUE-GREEN ALGAE

AZOTOBACTER

CLOSTRIDIUM

MATERIALS WITH N

CONTENT > 1.5%

(COW MANURE)

MATERIALS WITH N

CONTENT < 1.5%

(WHEAT STRAW)

FERTILIZATION

PLANT

LOSS

AMINO

ACIDS

MICROBIAL

DECOMPOSITION

NH3

AMMONIA

VOLATILIZATION

IMMOBILIZATION

AMINIZATION

HETEROTROPHIC

ORGANIC

MATTER

R-NH2 + ENERGY + CO2

BACTERIA (pH>6.0)

FUNGI (pH<6.0)

pH>7.0

R-NH2 + H2O

AMMONIFICATION

NH2OH

IMMOBILIZATION

R-OH + ENERGY + 2NH3

N2O2-

Pseudomonas, Bacillus,

Thiobacillus Denitrificans,

and T. thioparus

2NH4+ + 2OH-

MICROBIAL/PLANT

SINK

MINERALIZATION

+ NITRIFICATION

FIXED ON

EXCHANGE

SITES

+O2

NO2-

Nitrosomonas

DENITRIFICATION

NO3-

POOL

NITRIFICATION

2NO2- + H2O + 4H+

OXIDATION STATES

Nitrobacter

+ O2

DENITRIFICATION

LEACHING

LEACHING

VOLATILIZATION

NITRIFICATION

ADDITIONS

NH3 AMMONIA -3

NH4+ AMMONIUM -3

N2 DIATOMIC N 0

N2O NITROUS OXIDE 1

NO NITRIC OXIDE 2

NO2- NITRITE 3

NO3- NITRATE 5

TEMP 50°F

LEACHING

LEACHING

LOSSES

OXIDATION REACTIONS

LEACHING

REDUCTION REACTIONS

pH 7.0


Sudduth

(SSCM) Site-specific Crop Management soil component.Hummel and SudduthAims to improve production efficiency by adjusting crop treatments to varying local conditions within the field.

Sudduth


Optical Sensor soil component.Uses 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 operation soil component.1. Emit light using fiber optics2. Light is reflected from soil surface3. Light is captured by photodetector4. Data is sent to PC




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


Benefits
Benefits variable moisture contents.

  • Gives a way to measure soil organic matter

  • Measures soil moisture

  • Can be added to data layers for specific fields to generate maps


Negative points
Negative Points variable moisture contents.

  • Expensive

  • Low durability

  • Not yet acceptable for use in field


Possible uses of sensor estimation of soil organic matter
Possible uses of sensor variable moisture contents.Estimation of soil organic matter

  • Soil structure

  • Water holding capacity

  • Infiltration of water and air

  • Reduction of soil erosion


References
References variable moisture contents.

  • Hummel, John W. Within-field Location and Sensing Technology. 04/18/01 www. odyssey.maine.edu/gisweb/spatdb/acsm/ac94071

  • OSU. Oklahoma Soil Fertility Handbook. 2000

  • Magdoff, F. R. Soil Organic Matter: Analysis and Interpretation. 1996


ad