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session-12

Remote Sensing and Monitoring for Agriculture

Objective:

Explore the applications of remote sensing and monitoring technologies in agriculture to enhance precision farming, optimize resource utilization, and improve decision-making for sustainable and resilient agricultural practices.

Theme :

"Sowing Insights, Reaping Precision: Unleashing the Potential of Remote Sensing in Agricultural Monitoring"

This session aims to delve into the advancements in remote sensing and monitoring tools, such as satellite imagery, drones, and sensor networks, and their transformative impact on agriculture. It focuses on how these technologies can provide real-time data and insights, enabling farmers and stakeholders to make informed decisions. The objective is to showcase the diverse applications of remote sensing in monitoring crop health, optimizing irrigation, detecting diseases, and promoting sustainable agricultural practices.

Tracks

1 Satellite-Based Crop Monitoring

2 Drone Applications in Precision Agriculture

3 Sensor Technologies for Soil Health Monitoring

4 Machine Learning Algorithms for Crop Analysis

5 Remote Sensing for Precision Irrigation

6 Early Disease Detection Systems

7 Climate-Resilient Agriculture with Remote Sensing

8 Geospatial Analysis for Land Use Planning

9 Data Fusion for Comprehensive Agricultural Insights

10 Community-Led Remote Sensing Initiatives

Outcomes:

    Precision Farming Techniques:
  • Explore how remote sensing technologies contribute to precision farming by providing accurate and timely information on soil conditions, crop health, and other critical parameters.
    • Crop Health Monitoring and Disease Detection:
  • Showcase the capabilities of remote sensing in monitoring crop health, early detection of diseases, and targeted interventions to minimize yield losses
    • Optimizing Resource Utilization:
  • Discuss how remote sensing enables efficient use of resources such as water, fertilizers, and pesticides, leading to improved resource management and sustainability.
    • Climate Resilience and Adaptive Agriculture:
  • Highlight the role of remote sensing in assessing climate-related risks, supporting adaptive agriculture practices, and enhancing resilience to changing environmental conditions.
    • Data-Driven Decision-Making for Farmers:
  • Demonstrate how remote sensing data empowers farmers with actionable insights, aiding in decision-making processes related to planting, harvesting, and overall farm management.
    • Integrated Pest Management:
  • Discuss the integration of remote sensing in pest management strategies, allowing for targeted interventions and reducing the reliance on chemical inputs.
    • Monitoring Land Use Changes and Crop Rotation:
  • Showcase how remote sensing helps monitor land use changes, track crop rotations, and support sustainable land management practices.
    • Economic Benefits for Smallholder Farmers:
  • Explore how the accessibility and affordability of remote sensing technologies can bring economic benefits to smallholder farmers, promoting inclusivity in technology adoption.
    • Policy Implications and Support:
  • Discuss the policy frameworks and institutional support needed to facilitate the widespread adoption of remote sensing technologies in agriculture.
    • Capacity Building and Technology Transfer:
  • Emphasize the importance of capacity building programs and technology transfer initiatives to ensure that farmers and stakeholders can effectively leverage remote sensing tools for agricultural improvement.

Remote Sensing and Monitoring for Agriculture is contribution to
The Sustainable Development Goals:

Goal 2: Zero Hunger
The session contributes to SDG 2 by promoting advanced technologies such as remote sensing and monitoring for precision agriculture, which can enhance crop management and contribute to food security.
Goal 9: Industry, Innovation, and Infrastructure:
Remote sensing technologies represent innovative solutions for agriculture, aligning with SDG 9's goal of promoting industry, innovation, and infrastructure development for sustainable practices.
Goal 13: Climate Action:
The session is relevant to SDG 13 by utilizing remote sensing to monitor and adapt to climate-related changes in agriculture, contributing to climate-resilient farming practices.
Goal 15: Life on Land:
Monitoring agricultural landscapes using remote sensing supports sustainable land use practices, aligning with SDG 15's goal of preserving and restoring terrestrial ecosystems.
Goal 6: Clean Water and Sanitation:
Precision agriculture through remote sensing can contribute to efficient water use, supporting SDG 6's objectives of clean water availability and sustainable water management.
Goal 3: Good Health and Well-Being:
Early disease detection systems in agriculture, facilitated by remote sensing, align with SDG 3 by promoting plant health and minimizing the need for extensive pesticide use.
Goal 11: Sustainable Cities and Communities:
Geospatial analysis for land use planning supports sustainable rural and urban development, aligning with the objectives of SDG 11.
Goal 17: Partnerships for the Goals:
The session emphasizes the importance of collaborative efforts and partnerships in the adoption of remote sensing technologies for sustainable agriculture, supporting SDG 17.
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