What is the format of this AI, IoT and Remote Sensing for Precision Agriculture course?

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

What are the prerequisites for this course?

Learners should have a foundational understanding of Agriculture concepts. Familiarity with basic tools and programming is recommended.

How long will I have access to the course materials?

You will have access to all course materials for the duration of 3 Days (60‑90 minutes each day). The self-paced format allows you to learn according to your own schedule through our online learning management system.

Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Agriculture. Our mentors are industry experts and experienced professionals. Enroll in AI, IoT and Remote Sensing for Precision Agriculture today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Agriculture skills that matter.

📚 Syllabus & Course Curriculum

Agriculture & Food Technology

Module-by-module breakdown of AI, IoT and Remote Sensing for Precision Agriculture, from foundations to a certified capstone project.

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Outline

Explore precision agriculture concepts and smart‑farm ecosystems • Identify field‑level data types: soil moisture, temperature, humidity, crop health, vegetation status • Set up virtual IoT sensors and map smart‑farm data flows • Analyse satellite and drone imagery basics

Outline

Build IoT architecture for smart agriculture applications • Create virtual sensors for soil moisture, temperature, humidity and crop environment • Implement MQTT communication for real‑time data transfer • Publish/subscribe sensor streams using HiveMQ

Outline

Explore satellite remote sensing for agricultural monitoring • Use Sentinel Hub for crop health and vegetation analysis • Interpret vegetation indices (NDVI, etc.) for precision farming • Visualise spatial farm data with QGIS

Earn government-registered certification in AI, IoT and Remote Sensing for Precision Agriculture

e-Certificate and e-Marksheet issued on successful completion.

View full course →

Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

Academic Registry Hub

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AI, IoT and Remote Sensing for Precision Agriculture

📚 Syllabus & Course Curriculum