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Artificial Intelligence (AI) in Modern Agriculture: The Future of Smart Farming
July 11 @ 11:00 am - 12:00 pm
Ai in Agriculture_IN & US Flier_6July26
ASSET Bioinformatics Workshop 2026
(Open to All)
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 11 to August 23, 2026
11:00 AM to 12:00 PM (EST) | 8:30 PM to. 9:30 PM (IST)
! Learn on Your Own Schedule, Take Advantage of Recurring Sessions !
For your convenience, the “AI in Modern Agriculture: The Future of Smart Farming” Workshop will run every Saturday & Sunday from July 12th to August 23rd. Designed and presented by Dr. Sumaya Sanober, Ph.D. (Department of Computer Science, Old Dominion University, Norfolk, VA, USA) on Sundays. And led by Dr. Abdulwasey Mohammed, Ph.D. (Founder & CEO – V-Inspire, Hyderabad, TG, India) on Saturdays.
! Pick Your Day & Secure Your Spot Now !
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 11 to August 23, 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.
Fee
Non-ASSET Members – $150 or Equivalent in Foreign Currency
ASSET Individual Members^ – $0 (Free)
ASSET Member Schools/Colleges^ – $0 (Free)
^ Membership required (Please see the Membership Chart below)
7 Interactive Sessions
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
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
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
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
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
Instructor: Ms. Samina Mian, Academic Advisor, College of Natural Sciences, UMass Amherst, MA, USA.
Topics: *Climate Change and Agriculture – *Sustainable Farming Practices – *Water Resource Management – *Carbon Footprint in Agriculture – *AI for Environmental Monitoring – *Food Security and Global Challenges – *
Instructor: Ms. Samina Mian, Academic Advisor, College of Natural Sciences, UMass Amherst, MA, USA.
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
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)
Recap of the Artificial Intelligence (AI) in Modern Agriculture (AIMA) Course, ASSET AIMA Quiz, Guest Speaker & Certificates
Recap of the Artificial Intelligence (AI) in Modern Agriculture (AIMA) Course, ASSET AIMA Quiz, Guest Speaker & Certificates
ASSET AIMA Quiz Winners will receive following Cash Prizes.
$100 (1st)
$75 ( 2nd)
$50 (3rd)
$40 (4th)
$25 (5th)
$10 (6th to 15th)
and a Certificate of Completion from ASSET
$100 (1st)
$75 ( 2nd)
$50 (3rd)
$40 (4th)
$25 (5th)
$10 (6th to 15th)
and a Certificate of Completion from ASSET
Note: To qualify for “AIMA ASSET Online Quiz”, students must attend all six (6) sessions and should be annual member of ASSET.
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.