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• Remote sensing involves gathering
information about objects or areas
from a distance, typically from aircraft
or satellites.
• It utilizes various sensors to collect
data, such as optical, thermal, and
radar sensors, enabling us to monitor
crops, soil, and environmental
conditions.
• Enhanced Crop Monitoring: Remote sensing offers frequent and
accurate tracking of crop health and growth stages
• Precision Agriculture: Remote sensing provides detailed insights
into soil variability, moisture levels, and nutrient content
• Early Disease Detection: Remote sensing identifies subtle
changes in crop health, aiding in early disease detection and
prevention.
• Yield Prediction: Advanced analytics based on remote sensing
data forecast crop yields, aiding in decision-making and market
planning.
• Environmental Monitoring: Remote sensing monitors factors
such as water availability, land use changes, and climate
patterns.
1. Crop Health Monitoring
2.Soil Mapping
3.Irrigation Management
4.Pest and Disease Management
5.Yield Estimation
6.Climate Resilience
Utilizing multispectral and
hyperspectral imagery to assess
crop health, detect stress
factors, and identify nutrient
deficiencies.
Mapping soil properties
like texture, moisture,
and pH levels to optimize
soil management
practices.
Monitoring soil moisture
levels and vegetation
stress to optimize
irrigation scheduling and
minimize water usage.
Early detection of pest
infestations and disease
outbreaks through remote
sensing, enabling targeted
interventions.
Using remote sensing
data along with machine
learning algorithms to
predict crop yields and
optimize harvest planning.
Assessing climate-related
risks and vulnerabilities
through remote sensing,
aiding in adaptation
strategies.
For joining us today. Let's harness the
power of remote sensing for a
brighter future for agriculture.

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Application of Remote Sensing A Revolution in Farm Management.pptx

  • 1.
  • 2. • Remote sensing involves gathering information about objects or areas from a distance, typically from aircraft or satellites. • It utilizes various sensors to collect data, such as optical, thermal, and radar sensors, enabling us to monitor crops, soil, and environmental conditions.
  • 3. • Enhanced Crop Monitoring: Remote sensing offers frequent and accurate tracking of crop health and growth stages • Precision Agriculture: Remote sensing provides detailed insights into soil variability, moisture levels, and nutrient content • Early Disease Detection: Remote sensing identifies subtle changes in crop health, aiding in early disease detection and prevention. • Yield Prediction: Advanced analytics based on remote sensing data forecast crop yields, aiding in decision-making and market planning. • Environmental Monitoring: Remote sensing monitors factors such as water availability, land use changes, and climate patterns.
  • 4. 1. Crop Health Monitoring 2.Soil Mapping 3.Irrigation Management 4.Pest and Disease Management 5.Yield Estimation 6.Climate Resilience
  • 5. Utilizing multispectral and hyperspectral imagery to assess crop health, detect stress factors, and identify nutrient deficiencies.
  • 6. Mapping soil properties like texture, moisture, and pH levels to optimize soil management practices.
  • 7. Monitoring soil moisture levels and vegetation stress to optimize irrigation scheduling and minimize water usage.
  • 8. Early detection of pest infestations and disease outbreaks through remote sensing, enabling targeted interventions.
  • 9. Using remote sensing data along with machine learning algorithms to predict crop yields and optimize harvest planning.
  • 10. Assessing climate-related risks and vulnerabilities through remote sensing, aiding in adaptation strategies.
  • 11. For joining us today. Let's harness the power of remote sensing for a brighter future for agriculture.