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AGRICULTURE ELECTRONICS
MUKESHKANNA S
EEE – IV year
Hyperspectral Remote sensing in Agriculture :
 This involves the use of sensors that capture a wide spectrum of light beyond the visible range, allowing for
detailed analysis of crops and soils.
 This method can provide information about
• Plant health
• Soil properties and
• Agricultural practices.
IoT
Smart Sensors
Crop Health Monitoring
Precision
Agriculture
Soil Analysis
TECH-STACK
1
3
2
NEED?
Embedded System
Crop Health Monitoring
Streamlines
Accurate crop monitoring
Optimized resource management
Yield prediction and Quality assessment
Pest and Disease
Detection
Optical Remote Sensing :
• Optical remote sensing uses the visible, near-infrared (NIR), and shortwave infrared (SWIR) parts of the
electromagnetic spectrum (wavelengths between 0.4 µm and 2.5 µm)
• It captures information about objects on the Earth's surface, including vegetation and soil.
Optical Remote
Sensing
Reflection,
Absorption, and
Transmission
Spectral
Signature
Vegetation
Indices
Atmospheric
Interference
Microwave Remote Sensing :
• Microwave remote sensing operates in the microwave region of the electromagnetic spectrum,
typically between 1 mm to 1 m in wavelength.
• Unlike optical sensors, which rely on sunlight as an energy source, microwave sensors can be active
(radar) or passive.
Depends on ….
• Penetration Ability
• Backscatter
• Dielectric Properties
• Polarization
• SAR (Synthetic Aperture Radar)
Advantages :
• Non-destructive
• High sensitivity
• Temporal analysis
• Data volume
• High cost
• Interpretation skills
Challenges :
Applications :
• Soil Moisture Monitoring
• Crop Water Stress Detection
• Flood Mapping and Damage Assessment
• Crop Classification
• All-weather Monitoring
Annexure :
AVIRIS
THANK YOU

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