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Artificial Intelligence (AI) in Modern Agriculture: The Future of the Smart Farming

July 5 @ 11:00 am - 12:00 pm

 

Bioinformatics Workshop 2026

Artificial Intelligence (AI) in Modern Agriculture:
The Future of the Smart Farming 

Instructor: Dr. Sumaya Sanober, Ph.D.
Department of Computer Science
Old Dominion University
Norfolk, VA, USA

5th July to 9th August, 2026 (Every Sunday)
11:00 AM to 12:00 PM (EST)
  8:30 PM to. 9:30 PM (IST)

                                                                                   REGISTER Here

ASSET presents Artificial Intelligence (AI) in Modern Agriculture: The Future of Smart Farming, a six-session course offered under the ASSET Bioinformatics Workshop 2026 series. Running from July 5 to August 9, 2026, this program is designed for high school students, university students, and professionals seeking to learn how AI is transforming agriculture through smart farming, precision agriculture, data analytics, drones, IoT, sustainable technologies, and problem-solving skills while exploring STEM and agriculture-related careers. All AI- and Agriculture-loving individuals are “Welcome”.

Fees
(*Early Bird – 50% Discount Until 30th June  2026)
High School Students (H) – $ 150*
Undergraduate Students (U) – $ 200*
Master (M) or Doctrate (D). – $ 250*
School Package (50 students) – $ 5,000*
College package (50 students) – $ 6,000*
ASSET Member Institutions – $0
ASSET Members: H-$75, U-$100, M/D -$125
Learning Outcomes
By the end of this course, students will be able to:
1. Explain the role of AI in modern agriculture.
2. Describe how sensors, drones, robotics, and data analytics support farming.
3. Interpret agricultural data to make informed decisions.
4. Understand sustainable and climate-smart farming practices.
5. Design a simple AI-based solution to an agricultural challenge.
6. Present scientific findings effectively.
7. Explore career pathways in AI, agriculture, engineering, and data science.

1st Session (Week 1)
Introduction to Agriculture and Artificial Intelligence
Topics: *What is Agriculture? – *Feeding a Growing Population – *Challenges in Modern Farming – *Introduction to Artificial Intelligence – *Machine Learning Basics – *AI Applications in Everyday Life – *AI in Food Production Systems – *Future of Smart Farming

2nd Session (Week 2)
Precision Agriculture and Smart Farming Data
Topics: *What is Precision Agriculture? – *Data-Driven Farming – *Sensors and IoT in Agriculture – *Weather Monitoring Systems – *Soil Health Monitoring – *GPS and Smart Mapping – *Introduction to Agricultural Data

3rd Session (Week 3)
Drones, Robotics, and Automation in Agriculture
Topics: *Agricultural Robotics – *Farm Automation – *Drones for Crop Monitoring – *Computer Vision Basics – *Autonomous Tractors – *Smart Irrigation Systems – *Agricultural Technology Careers
4th Session (Week 4)
AI for Crop Prediction and Decision Making
Topics: *Introduction to Predictive Analytics – *Crop Yield Prediction – *Disease Detection Systems – *Pest Monitoring – *Weather Forecasting Models – *AI-Based Decision Support Systems – *Sustainable Agriculture
 
5th Session (Week 5)
Climate-Smart Agriculture and Sustainability
Topics: *Climate Change and Agriculture – *Sustainable Farming Practices – *Water Resource Management – *Carbon Footprint in Agriculture – *AI for Environmental Monitoring – *Food Security and Global Challenges – *
6th Session (Week 6)
Research, Innovation, and Future Careers
Topics: *Conducting Agricultural Research – *Scientific Communication – *Creating Effective Posters – *Presenting Research Findings – *College and Career Pathways – *USDA Opportunities – *Agricultural Engineering – *Data Science and AI Careers – *Entrepreneurship in Agriculture
 
7th Session (Week 7)
ASSET Quiz, Guest Speaker & Certificates
Recap of the Artificial Intelligence (AI) in Modern Agriculture (AIMACourse
AIMA Quiz* (Winners $100$75, $50, $25, $15 and $10 for 1st, 2nd, 3rd , 4th, 5th and 6th to 10 places, respectively, and a Certificate of Completion from ASSET)
Note: To qualify for “AIMA ASSET Quiz”, students must attend all six (6) sessions.
Guest Speaker
USDA National Institute of Food and Agriculture Official or
National Institute of Health Official

Workshop Pre-requisite:
          * Knowledge of STEM
* Provide your complete information. If not, you will NOT be eligible for the Prize Money and Certificate.

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