AI in Agriculture

Revolutionize Agriculture with AI: Precision, Sustainability, and Innovation

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MODE
Virtual (Google Meet)

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

This program explores how AI-powered solutions are transforming the agricultural sector. Participants will learn to implement AI-driven technologies like drones, sensors, and machine learning models for precision farming, pest control, soil analysis, and crop yield prediction. The course also addresses real-world challenges like climate change and food security, offering AI-based solutions for these pressing issues.

Aim

To introduce participants to cutting-edge AI technologies revolutionizing agriculture, such as precision farming, crop monitoring, and predictive analytics. This program provides a strong foundation in leveraging AI to improve crop yield, optimize resource use, and enhance sustainable farming practices.

Program Objectives

Understand AI’s role in revolutionizing agriculture.
Implement precision farming techniques using AI tools.
Build predictive models for crop health and yield.
Learn to use AI in pest and disease management.
Explore the applications of AI in sustainable farming.

Program Structure

Introduction to AI in Agriculture
- Overview of AI applications in modern farming
- Importance of AI in addressing food security and sustainability
Precision Farming with AI
- AI-based tools for soil analysis and monitoring
- Drones and sensors for crop management
- Machine learning models for precision irrigation and fertilization
Predictive Analytics for Crop Yield
- AI models for predicting crop health and yield
- Use of weather data and soil conditions in AI predictions
AI in Pest and Disease Management
- Image recognition techniques for detecting pests and plant diseases
- AI tools for real-time pest control and risk management
Automated Agricultural Machinery
- AI-powered autonomous machinery for planting, harvesting, and weeding
- Case studies of robotics in agriculture
Sustainable Agriculture with AI
- AI’s role in reducing resource usage (water, fertilizers) and enhancing sustainability
- Applications of AI in organic farming and reducing environmental impact
Hands-on Project: Building AI Models for Farming
- Practical session: Implementing a crop monitoring system with AI
- Analyzing soil data and predicting crop health using AI

Participant’s Eligibility

Agricultural researchers, AI engineers, farmers, and agronomists focusing on smart agriculture.

Program Outcomes

Mastery of AI technologies transforming modern agriculture.
Ability to build and implement AI-driven farming solutions.
Skills in crop yield prediction, soil analysis, and pest management with AI.
Understanding of sustainable farming techniques enhanced by AI.

Fee Structure

Standard Fee: INR ~~4,998~~ USD 78

Discounted Fee: INR 2499 USD 39

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!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.