1 / 15

Infrared Spectroscopy Keith D Shepherd

Infrared Spectroscopy Keith D Shepherd. Optimizing Fertilizer Recommendations for Africa (OFRA) Project Inception 25-27 November 2013. Surveillance Science.

sabine
Télécharger la présentation

Infrared Spectroscopy Keith D Shepherd

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Infrared Spectroscopy Keith D Shepherd Optimizing Fertilizer Recommendations for Africa (OFRA) Project Inception 25-27 November 2013

  2. Surveillance Science UNEP. 2012. Land Health Surveillance: An Evidence-Based Approach to Land Ecosystem Management. Illustrated with a Case Study in the West Africa Sahel. United Nations Environment Programme, Nairobi. http://www.unep.org/dewa/Portals/67/pdf/LHS_Report_lowres.pdf • Increase sample density in landscapes • Direct prediction of soil-plant responses to management • Measure frequency of problems and associated risk factors in populations using statistical sampling designs & standardized measurement protocols Shepherd KD and Walsh MG (2007) Infrared spectroscopy—enabling an evidence-based diagnostic surveillance approach to agricultural and environmental management in developing countries. Journal of Near Infrared Spectroscopy 15: 1-19.

  3. Spectral shape relates to basic soil properties • Mineral composition • Iron oxides • Organic matter • Water (hydration, hygroscopic, free) • Carbonates • Soluble salts • Particle size distribution  Functional properties

  4. Infrared spectroscopy Dispersive VNIR FT-NIR FT-MIR Robotic FT-MIR Portable Brown D, Shepherd KD, Walsh MG (2006). Global soil characterization using a VNIR diffuse reflectance library and boosted regression trees. Geoderma 132:273–290. Shepherd KD and Walsh MG (2007) Infrared spectroscopy—enabling an evidence-based diagnostic surveillance approach to agricultural and environmental management in developing countries. Journal of Near Infrared Spectroscopy 15: 1-19. Terhoeven-Urselmans T, Vagen T-G, Spaargaren O, Shepherd KD. 2010. Prediction of soil fertility properties from a globally distributed soil mid-infrared spectral library. Soil Sci. Soc. Am. J. 74:1792–1799 Handheld MIR ? Mobile phone cameras ?

  5. Calibration Soil organic carbon • Spectralpretreatments • Derivatives, smoothing • Data miningalgorithms: • PLS + • SupportVectorMachines • Neural networks • MultivariateAdaptiveRegressionSplines • BoostedRegressionTrees • RandomForests • BayesianAdditiveRegressionTrees Training Out-of-bag validation Soil pH R package soil.spec Soil spectral file conversion, data exploration and regression functions

  6. Spectral prediction performance

  7. Spectral libraries

  8. Submit batch of spectra online • Uncertainties estimated for each sample • Samples with large error submitted for reference analysis • Calibration models improve as more samples submitted • All subscribers benefit

  9. Spectral fingerprinting X-ray diffraction spectroscopy Total X-ray fluorescence spectroscopy Infrared spectroscopy

  10. Spectral Lab Network • Planned • Eggerton University, Kenya • MoA, Liberia • IER, Arusha, Tanzania • FMARD, Nigeria • NIFOR, Nigeria • CNLS, Nairobi • BLGG, Kenya (mobile labs) • IAMM, Mozambique • AfSIS, Sotuba, Mali • AfSIS, Salien, Tanzania • AfSIS, Chitedze, Malawi • CNLS, Nairobi, Kenya • ICRAF, Nairobi, Kenya • CNRA, Abidjan, Cote D’Ivoire • KARI, Nairobi, Kenya • ICRAF, Yaounde, Cameroon • ObafemiAwolowo University, Ibadan, Nigeria • IAR, Zaria, Nigeria • ATA, Addis Ababa, Ethiopia (+ 5 on order) • IITA, Ibadan, Nigeria • IITA, Yaounde, Cameroon • ICRAF, Nairobi, Kenya

  11. Plant, compost, fertilizer analysis • IR for plant N/protein, organic resource quality/decomposition • Handheld XRF for plant P, K, Ca, Mg, micronutrients (in progress) • Handheld XRF for fertilizer quality control (in progress) Shepherd KD, Palm CA, Gachengo CN and Vanlauwe B (2003) Rapid characterization of organic resource quality for soil and livestock management in tropical agroecosystems using near infrared spectroscopy. Agronomy Journal 95:1314-1322. Shepherd, KD, Vanlauwe B, Gachengo CN Palm CA (2005) Decomposition and mineralization of organic residues predicted using near infrared spectroscopy. Plant and Soil 277:315-333.

  12. Calibrating plant response to IR http://afsis-dt.ciat.cgiar.org

  13. MTT-Finland FoodAfricaSoil Micronutrients Evidence-based micronutrient management Healthy crops Healthy livestock Healthy soils Healthy people

  14. Land HealthSurveillance Out-scaling Global-Continental Monitoring Systems Vital signs CRP pan-tropical sites AfSIS Regional Information Systems National surveillance systems Tibetan Plateau/ Mekong Evergreen Ag / Horn of Africa Ethiosis Project baselines SLM Cameroon Parklands Malawi Rangelands E/W Africa Cocoa - CDI MICCA EAfrica

  15. Critical success factors • Consistent field sampling protocol • Soil-Plant sample labeling, drying, preparation, sub-sampling, shipping, back-up storage • Data management, linking • Judicious selection of samples for reference analysis • Consistency of reference analyses • Use MIR as a soil covariate • Direct calibration of MIR to plant/soil response http://worldagroforestry.org/research/land-health/spectral-diagnostics-laboratory

More Related