Digital Agriculture and Precision Biotechnologies
Live Registration
BATCH #24
03Seats Left
92% Booked
02
Days
:
00
Hrs
:
00
Min
:
00
Sec
Course Overview
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.
Program Syllabus
Module 1
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.
Module 2
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Digital Agriculture and Precision Biotechnologies
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program 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.
Module 4
Program Structure
Module 5
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
Module 6
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
Module 7
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
Module 8
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
Module 9
Intended For
- Undergraduate degree in Agricultural Sciences, Biotechnology, or related fields.
- Professionals in the agricultural sector, agribusiness, or related industries.
- Technologists and scientists with an interest in applying information technology and biotechnology to agriculture.
Module 10
Program 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.
Module 11
Fee Structure
Standard Fee: INR 8,998 USD 198
Discounted Fee: INR 4499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 12
FOR QUERIES, FEEDBACK OR ASSISTANCE