Precision Agriculture

Übersicht

ABOUT THE COURSE:

Precision agriculture stands for the technology which supports the application of precise and exact amount of inputs like fertilizer, water, pesticides etc. to the actual place of crop requirement, at the correct time ensuring better crop productivity and maximizing crop yield and profits. The supporting technologies, such as GIS, GPS, Remote Sensing, Site specific management zones, VRT, Green seeker, Yield monitor, Drone, Sensors and WSN etc. enables proper adoption of precision agriculture.

Though the rate of adoption of precision agriculture technology is somewhat slow in developing countries, but they are catching up now-a-days. The course will cover major technologies involved in precision agriculture in terms of tutorials, practical worksheets, field images and videos.

Students and professional completing the course will be able to spread as well as enrich the technology through their research and extension activities.INTENDED AUDIENCE:

Student in the Discipline of Agricultural Engineering, Civil Engineering, Geo-InformaticsINDUSTRY SUPPORT:

Inside FPV, AVPLAbsolute, AgNext, DaHaat, CropIn, AgroStar etc.

Lehrplan

• Introduction to Precision Agriculture
Definition and Overview
Importance and Benefits
Challenges in Adoption
• Geospatial Technologies in Precision Agriculture
GIS (Geographic Information Systems)
GPS (Global Positioning System)
Remote Sensing
Creating and Managing Site-Specific Management Zones
• Variable Rate Technology (VRT)
Overview and Applications
Equipment and Machinery
Case Studies on VRT Implementation
• Crop Monitoring and Yield Prediction
Use of Yield Monitors
Green Seeker Technology
Data Collection and Analysis
• Sensor Technologies and Wireless Sensor Networks (WSN)
Types of Sensors: Soil, Water, and Crop
Integration with IoT
Data Management and Decision Support Systems
• Drones and Aerial Imagery
Types of Drones and Their Uses
Image Processing and Analysis
Regulatory Considerations
• Irrigation and Water Management
Precision Irrigation Techniques
Monitoring Soil Moisture Levels
Water Use Efficiency
• Pest and Disease Management
Precision Application of Pesticides
Use of AI for Pest Detection
Case Studies and Best Practices
• Economic and Environmental Impact
Cost-Benefit Analysis
Environmental Sustainability
Adoption Rates and Trends in Developing Countries
• Practical Applications and Case Studies
Industry Collaborations and Projects
Field Images and Videos
Workshops and Practical Worksheets
• Future Trends in Precision Agriculture
Emerging Technologies
Research and Development Opportunities
Industry Support and Collaborations
• Course Conclusion and Future Learning Opportunities
Summary of Key Concepts
Pathways for Further Education and Career Development

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Unterrichtet von

Prof. Kishore Chandra Swain

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Fachgebiete

Artificial Intelligence