Remote Sensing and Optical Imaging/Sensing -- Introduction -- Sarun - - PowerPoint PPT Presentation

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Remote Sensing and Optical Imaging/Sensing -- Introduction -- Sarun - - PowerPoint PPT Presentation

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Remote Sensing and Optical Imaging/Sensing -- Introduction -- Sarun Sumriddetchkajorn NSTDA Research Fellow National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Ministry of

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Sarun Sumriddetchkajorn, Feb. 13, 2019: Winter College on Applications of Optics and Photonics in Food Science

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Remote Sensing and Optical Imaging/Sensing

  • - Introduction --

Sarun Sumriddetchkajorn

NSTDA Research Fellow

National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Ministry of Science and Technology, Thailand

E-mail: sarun.sumriddetchkajorn@nectec.or.th

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Sarun Sumriddetchkajorn, Feb. 13, 2019: Winter College on Applications of Optics and Photonics in Food Science

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Outlines

  • Brief Introduction about NSTDA, NECTEC
  • (Far) Remote Sensing and Optical Imaging -- Satellites
  • (Not Far) Remote Sensing and Optical Imaging -- Drones
  • (Near you) Local Sensors and Systems
  • Conclusion
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  • Thailand Science Park (47 Acres)
  • 30 km from downtown Bangkok
  • 440 research staff and 227 support staff

NECTEC

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Demand nd

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Speech and Text Understanding

AI & Computing Advanced Electronic Sensing Intelligent Systems & Networks

Language and Semantic Technology Image Processing and Understanding Data-Driven Simulation and Systems Knowledge Elicitation and Archiving Neural Signal Processing Human Behavior Analytics Opto-Electrochemical Sensing Photonics Technology Terahertz Technology Design, Simulation, Characterization, and Circuit Design Silicon Technology Industrial Fabrication Machines and Power Conversions Intelligent SCADA Embedded System Technology Smart Machine and Mixed Reality Machine Vision

AI Data Science and Analytics Spectroscopic and Sensing Devices Thai Microelectronics Center Intelligent Systems

Strategic Analytics Networks with Machine Learning and AI

Data Communication and Networks

Internet Innovation Location and Automatic Identification Systems Intelligent Transportation Systems Information Security RF Electronics

NSTDA-Supercomputer Center Center for Cyber-Physical Systems

National S&T Infrastructure

Solar Technology Engineering Surface and Microfluidic Device Innovation

National Computing and Cyber-Physical Infrastructure

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Optics and Photonics in Food Science We want to do Food Science in a more Precise Way

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Precision Agriculture is about whole farm management with the

goal of optimizing returns on inputs while preserving resources

http://en.wikipedia.org/wiki/Precision_agriculture Precision agriculture aims to optimize field-level management with regard to: Crop Science: by matching farming practices more closely to crop needs (e.g. fertilizer inputs); Environmental Protection: by reducing environmental risks and footprint of farming (e.g. limiting leaching of nitrogen); Economics: by boosting competitiveness through more efficient practices (e.g. improved management of fertilizer usage and other inputs).

  • Collection of real-time data on weather, soil and air quality, crop maturity

and even equipment and labor costs and availability

  • Predictive analytics for smarter decision making

http://www.research.ibm.com/articles/precision_agriculture.shtml

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  • Sa

Satellit ites es

  • Airplan

anes/ s/Dr Dron

  • nes

es

  • Local Se

Sensors

Closer and Better Resolution

Customers Farms

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Photonics in Precision Agriculture

  • It helps carry information (optical, chemical, physical, biological properties).
  • Its module/system can process the information at a very fast speed via high-

speed large-data-packet communications or parallel processing.

  • Real module/system involves other disciplinary such as Chemistry, Biology,

Electronics, Computer Sciences, Mechanics,… Non Contact High Sensitivity High Resolution High Specificity High Dynamic Range Robustness

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http://www.newworldencyclopedia.org/entry/Image:EM_Spectrum3-new.jpg

Reflection, Refraction, Absorption, Scattering Interference, Diffraction, Polarization, Quantum

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dedunn.edublogs.org

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VHI: Vegetation Health Index

Laser Focus World, p. 51-57, Apr. 2014

Normalized Difference Vegetation Index (NDVI)

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Panchr nchromati tic c and Multispectra

ctral 4 Bands (nm): Blue (450-520), Green (520-600), Red (630-690), IR (760-900)

Point nt Target: et: 16.5 km Panchr nchromati tic c and Multispectra

ctral 8 Bands (nm): Blue (400-450), Blue (450-510), Green (510-580), Yellow (585-625), Red (630- 690), IR (705-745), (770-895), (895-1040)

Panchr nchromati tic c and Multispectra

ctral 11 Bands (nm): Blue (430-450), Blue (450-515), Blue (500-680), Green (530-590), Red (640-670), IR (850-880), IR (1570-1650), IR (1360-1380), IR (2110-2290), IR (10600-11190), IR (11150-12510)

Panchr nchromati tic c and Multispectra

ctral 7 Bands (nm): Blue (450-520), Green (520-600), Red (600-690), IR (770-900), IR (1550-1750), IR (10400-12500), IR (20800-23500)

Point nt Target: et: 80 m

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Blue (450-515) Green (525-605) Red (630-69 690) IR (775-900) IR (1550-17 1750) 0) IR (10400-12500) IR (20900-23500)

Coastal, Type of Plant, Greeness Type of Plants Chlorophyll Absorption Land & Water Soil Moisture Heat Surface, Soil Moisture, Plant Stress Type of Rocks

Image e Processin ssing

  • Feature

Classification

  • Feature

Extraction

  • Mathematical

Models

  • Geographic

Information System Mapping

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Rice Cassava Corn Sugarcane Rice Cassava Corn Sugarcane

Water Usage

Agriculture Area Damaged from Flood

Total Planting Area

Normalized Difference Vegetation Index (NDVI)

GIST STDA: A: Agonlin ine e for monito torin ring g crops

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Plant Disease Status

GIST STDA: A: Cmet for monitori

  • ring

ng crop status us

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Temperature Relative Humidity Rain Gauge

GIST STDA: A: Cmet for monitori

  • ring

ng crop status us

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01-15 Jan.19 16-30 Sep.18

GIST STDA: A: Rice for monitor

  • rin

ing g the growth th of rice

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R2 = 0.65 R2 = 0.76 R2 = 0.75

Wavele leng ngth th: 400 400-245 450 0 nm

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R2 = 0.94 R2 = 0.54 R2 = 0.76 R2 = 0.93

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Wavelength Selection & Math Models are Very Important for Specific Fields of Interest

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  • Monitoring
  • Mapping
  • Evaluating
  • Controllin

ing

https://www.itu.int/pub/D-STR-E_AGRICULT.02-2018

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https://www.itu.int/pub/D-STR-E_AGRICULT.02-2018

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https://www.itu.int/pub/D-STR-E_AGRICULT.02-2018

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Many Startups in Drone Business for Agriculture

https://www.disruptordaily.com/10-companies-using-drones-disrupt-agriculture-industry/

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Examples of Local Sensors and Systems

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agriphotonics.com philips.com/horti

Horticulture

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Sarun Sumriddetchkajorn, Feb. 13, 2019: Winter College on Applications of Optics and Photonics in Food Science

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vision-systems.com

Mastitis Analysis

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Thermal Imaging Applications

InfraMation, 2007, ITC121A

(Heat t St Stress Manag agem emen ent) Poultry Viticulture

J Expt. Botany 58, 815–825, 2007.

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Two-Dimensional Fruit Ripeness Analyzer

Features

  • 2-D ripeness estimation
  • Ripeness levels: immature to overripe
  • Y. Intaravanne, S. Sumriddetchkajorn, and J. Nukeaw, Sensors and Actuators B: Chemical, Vol. 168, pp. 390-394, 2012.

Fluorescent Imaging + Spectral Imaging + Image Processing

VIS UV Proposed Concept Immature Immature Ripe Overripe Ripe Overripe Ripe Overripe Ripe Overripe Ripe Overripe Immature Ripe Overripe Immature Ripe Overripe Immature

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Need to measure shape and size easily

Conservation of Unique Thai Buffalo

Measuring Tape?

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Optical al Pat attern from Kinect 3D F Fringe Pat attern

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3D Sc Scanner ers: s: Bi Big Object (e.g., ., Bu Buffalo) lo)

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Leads to simple e evaluat ation

  • n of the

body weight t and body surfa face ce area

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Feat atures & S Specificat atio ions

  • 2 HD video recorder
  • Scan volume: 1x1x1 m
  • Maximum weight of root: 10 kg
  • Scanning time: 4 sec
  • Evaluation: structure of root system

architecture, root length, root width Allian ance & Customers

  • BIOTEC / NSTDA
  • Forschungszentrum Jülich, Germany
  • Rayong Field Crops Research Center

Plan ant P t Phenoty typing: Cas asav ava Root T t Trai aits ts

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3D Scanner and Plant Phenomics

  • Volumetric analysis: 110 microns resolution and 50 microns

accuracy

  • Analysis: Leaft area, leaf color levels, size of nods, branch

length, height

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Surface Enhanced Raman Scattering (SERS) Chips

  • N. Nuntawong, M. Horprathum, P. Eiamchai, K. Wong-ek, V. Patthanasettakul, P. Chindaudom, Vacc., Vol. 84, pp. 1415-

1418, 2010.

Nanotechnology + Optical Spectroscopy

  • Narcotic Drug Detection
  • Explosive Material Analysis
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THz Spectroscopy for Water Content Analysis in Leave

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Conclusion

  • Optical sensors and systems for agriculture can be
  • perated from… far away

not too far away in the farm Satellites Airplanes/Drones Local sensors and systems

  • It is not only about Optics and Photonics but

Multidisciplinary (Biology, Chemistry, Electronics Engineering, Mechanical Engineering,…)

  • We should choose the right spectra with appropriate

sensing & systems to answer the needs in each application