About
Digital Agriculture and Precision Biotechnologies is a transformative one-month program designed to bridge the gap between traditional farming methods and modern technological interventions. Through a series of interactive lectures, hands-on labs, and case studies, participants will explore the fundamentals of genetic engineering, data analytics, and precision farming techniques that are revolutionizing the agriculture sector. The second part of the course delves deeper into practical applications, including drone technology, satellite imaging, and AI-driven decision support systems that enable real-time monitoring and targeted interventions in crop management.
Aim
This program aims to equip participants with advanced knowledge and practical skills in digital agriculture and precision biotechnologies, focusing on innovative technologies that drive agricultural efficiency and sustainability. Participants will learn to integrate biotechnological advancements with digital tools to enhance crop production, environmental sustainability, and agribusiness operations.
Objectives
- Understand the core principles and applications of precision agriculture..
- Explore the role of biotechnologies in enhancing crop genetics and traits.
- Develop skills in data analysis and interpretation for farming decisions.
- Gain practical experience with technologies like GIS, remote sensing, and drones
- Foster sustainable agricultural practices through informed technological applications.
Curriculum
Week 1: Fundamentals of Digital Agriculture and Precision Biotechnologies
- Introduction to Digital Agriculture and Smart Farming
- Role of Biotechnology in Agriculture – GMOs, CRISPR, and Synthetic Biology
- AI, IoT, and Big Data Applications in Agriculture
- Case Studies: Smart Farms and Precision Agriculture Implementations
Week 2: Data-Driven Agriculture & Smart Farming Technologies
- Remote Sensing, GIS, and Satellite Imaging for Crop Monitoring
- IoT-Based Smart Sensors for Soil, Water, and Crop Health Monitoring
- Blockchain in Agricultural Supply Chains
- Predictive Analytics for Yield Optimization
Week 3: Biotechnological Innovations in Precision Agriculture
- Gene Editing and Next-Gen Breeding Techniques
- Soil Microbiome Engineering for Sustainable Agriculture
- Biopesticides, Biofertilizers, and Nano-based Agri Inputs
- Digital Twins in Agriculture – Simulating Farming Conditions
Week 4: Future Trends, Policy, and Implementation Strategies
- Climate-Smart Agriculture and Sustainable Practices
- AI-Based Pest and Disease Management
- Ethical, Policy, and Business Aspects of Digital Agriculture.
- The Future of Agri-Tech: Robotics, UAVs, and Automated Farming.
Mentors
Outcomes
- Mastery of digital tools and technologies in agriculture
- Ability to implement precision farming techniques.
- Enhanced capacity for data-driven decision making.
- Understanding of genetic modifications and their applications.
- Skills to promote sustainable and efficient agricultural practices.