In-Person 5th ASSET International Hybrid Conference Program Schedule
2025-12-27 09:00 - 2025-12-28 17:00 UTC

Artificial Intelligence (AI) in Modern Agriculture: The Future of the Smart Farming
2026-07-05 11:00 - 12:00 | Online, Norfolk, VA, MA, United States
REGISTER Here
Bioinformatics Workshop 2026 For High School Students^
^(Students with higher degree can also register)
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
Online Program | Every Sunday | July 5 to August 9, 2026
11:00 AM to 12:00 PM (EST)
8:30 PM to. 9:30 PM (IST)
American Society of Science Engineering and Technology (ASSET) presents “Artificial Intelligence (AI) in Modern Agriculture: The Future of Smart Farming,” a six-session program offered as part of the ASSET Bioinformatics Workshop 2026 series. Scheduled from July 5 to August 9, 2026, this course is designed especially for school students, but students with higher degree, educators, and professionals interested can also participate this course in understanding how AI is revolutionizing agriculture and to make aI in Agriculture as their careers. Participants will explore smart farming, precision agriculture, drones, IoT, data analytics, sustainable farming technologies, and real-world problem-solving while gaining insight into exciting STEM and agriculture-related career opportunities.
“Anyone Passionate about AI, Technology, and the Future of Agriculture is Warmly Welcome to Join”
About the Course
AI in Modern Agriculture: The Future of Smart Farming
AI is helping farmers grow more food with less effort, less water, and fewer chemicals. AI-powered tools can monitor crop health, predict weather conditions, detect pests and diseases early, and recommend the right amount of water and fertilizer for each field. Smart farming uses technologies such as drones, sensors, robots, satellite images, and data analytics to help farmers make better decisions. These tools can increase crop yields, reduce costs, save natural resources, and improve farm productivity. In the future, AI-enabled farms will be able to automatically monitor crops, identify problems before they become serious, and optimize farming practices in real time. Smart farming will make agriculture more efficient, sustainable, and profitable while helping feed a growing global population.
Simply put, integrating AI into agriculture leverages advanced technology to optimize crop vitality, maximize farmer profitability, and promote ecological sustainability.
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.
Fees (*Early Bird – 50% Discount Until 30th June 2026)
High School Students (H) – $ 150* or Equivalent Currency for Non-US Students
Undergraduate Students (U) – $ 200* ”
Master (M) or Doctrate (D) – $ 250* ”
School Package (50 students) – $ 5,000* ”
College package (50 students) – $ 6,000* ”
ASSET Members: H-$75, U-$100, M/D -$125 ”
ASSET Member Institutions – $0 –

AI Session Ad-Membership_US_19Jun26

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 AI in Modern Agriculture (AIMA) Course
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 Online Quiz”, students must attend all six (6) sessions.
Guest Speaker:
USDA National Institute of Food and Agriculture Official or National Institute of Health Official or University Personnel (Yet to be Determined)

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