application of gis & remote sensing technologies: precision agriculture
TRANSCRIPT
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ICASE 2013 IST AUG 21–23
Paper Title:● Application of GIS & Remote Sensing
Technologies: Precision Agriculture
Authors:● Muhammad Idrees (Presenter)● Muhammad Aman ● Dr. Tariq Javid Ali, HITEC University
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Presentation Outline
● Introduction – Precision Agriculture (PA)
● GIS & Remote Sensing Technologies
● PA in National Context
● Conclusion and Future
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Precision Agriculture
● Application area, farming management
● Respond to observed intra-field variations
● 1980s: The concept emerged in USA
● Practiced in countries: UK, Canada, Austrailia
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GIS & Remote Sensing Technologies
● Remote sensing uses sensors to acquire real-time information i.e. observations
● Geographic Information System (GIS) uses computer-based tools for analysis of observations i.e. response
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Precision Agriculture Technology
● PA technology uses sensors (remote sensing) and computer-based tools (GIS) to timely respond to observed changes
● Decision support system
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Crop Growth
● A farmer needs to know:
– Which conditions are persistent or stable?
– Which conditions are changing?
– Why crop is understress or dying in some parts?
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Crop Understrees
● Identification by measuring in EM bands– Visible : 0.4 – 0.7 micro meter (um)– Near Infrared : 0.75 – 1.4 um– Thermal : 8 – 15 um – Microwave : 1 mili m – 1 m
● Above remote sensing information is used to update GIS database and generate maps with useful info.
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Treatment & Variable Rate Technolgies
● Responding to observed changes is usually accomplished by applying appropriate and timely treatment e.g. need of water, fertilizer
● Variable-rate technologies are helpful in applying appropriate treatment with precision
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Vegetation Indices
● These are mathematical quantities used for vegetation monitoring
● Example indices are:– Normalized Difference Vegetation Index (NDVI)– Enhanced Vegetation Index (EVI)
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NDVI and EVI
● NDVI is used to identify healthy vs. streesed– Range: - 1 to 1 (green)
● EVI is used to find changes during vegetation growth e.g. land surface temperature
● Both indices complement each other
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PA in National Context
● Pakistan is facing a lot of challenges today● Natural resources e.g. water, gas, etc. need
thoughtful utilization
● A careful investment in PA technology evaluation and implementation can help:
– Improve both quality and quantity of vegetation– Lower market prices– Export will improve our national economy
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Evaluation Scenario
● Research proposes to begin with large growers● Equip farmers with on-tractor devices, showing:
– Updated vegetation maps (healthy vs. streesed) – Available mitigation options i.e. treatment
● Once a treatment is selected, a timely application is accomplished with VRTs
● Success of evaluation will begins new level
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Conclusion
● Presented an overview of PA as application of remote sensing and GIS technologies
● Updated maps showing vegetation growth provide useful information toward better farming management
● Careful application of PA will result in precise utilization of natural resources
● Expected results: improved quality and quantity, lower market prices, and economic benifits
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Future Prespective
● Evaluate low-prices, self-sustained sensors
● Build SMS service for farmers for recent changes observed in maps i.e. GIS database
● Research suitable vegetation indices
● Interact with farmers to evaluate VRTs
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Thank You!
● Questions & Answers