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Robotics and Automation in Agricultural Biotechnology

Robotics and Automation in Agricultural Biotechnology

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Course Overview

Robotics and automation are transforming agricultural biotechnology, offering solutions for efficient and sustainable food production. This program introduces participants to the latest advancements in robotics, automation systems, and AI-driven tools designed for precision farming, crop monitoring, harvesting, and soil management. Participants will explore how these technologies optimize farming operations, improve resource management, and address labor shortages in agriculture.

The program also covers key topics such as robotic systems for plant phenotyping, automated irrigation systems, drone technologies for field analysis, and the integration of AI and machine learning in agriculture. Through hands-on learning and case studies, participants will gain practical insights into the future of agriculture, where robotics and automation play a central role in achieving food security and sustainable farming practices.

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Program Syllabus

Module 1

About

Robotics and automation are transforming agricultural biotechnology, offering solutions for efficient and sustainable food production. This program introduces participants to the latest advancements in robotics, automation systems, and AI-driven tools designed for precision farming, crop monitoring, harvesting, and soil management. Participants will explore how these technologies optimize farming operations, improve resource management, and address labor shortages in agriculture.

The program also covers key topics such as robotic systems for plant phenotyping, automated irrigation systems, drone technologies for field analysis, and the integration of AI and machine learning in agriculture. Through hands-on learning and case studies, participants will gain practical insights into the future of agriculture, where robotics and automation play a central role in achieving food security and sustainable farming practices.

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Module 2

Aim

This program aims to provide participants with comprehensive knowledge of robotics and automation technologies applied in agricultural biotechnology. It focuses on improving agricultural productivity, enhancing precision farming, and reducing human labor through innovative robotic and automated systems.

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Module 3

Program Objectives

  • Understand the role of robotics and automation in agricultural biotechnology.
  • Explore advanced robotic systems for crop monitoring, phenotyping, and harvesting.
  • Learn about automated irrigation, fertilization, and pest control systems.
  • Examine the integration of AI and machine learning in precision farming.
  • Develop skills in applying robotics to solve real-world agricultural challenges.

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Module 4

Program Structure

Week 1: Introduction to Agricultural Robotics and Bio-Automation

  • Evolution of automation in agriculture

  • Role of biotechnology in precision farming

  • Types of agricultural robots: UAVs, ground bots, seeding bots

  • Sensor-based monitoring and robotic systems overview

Week 2: AI, IoT, and Sensing in Smart Agriculture

  • IoT-enabled biosensing for soil, crop, and environment

  • Machine vision and image recognition for phenotyping

  • AI and ML in predictive analytics for crop management

  • Integration of robotics with cloud-based farm intelligence

Week 3: Automation for Crop Health and Genetic Improvement

  • Automated phenotyping in plant biotechnology labs

  • High-throughput systems for crop trait analysis

  • Robotic systems in CRISPR/Cas genome editing pipelines

  • Application in micropropagation, tissue culture automation

Week 4: Industrial Implementation and Future Trends

    • Case studies: smart greenhouses, vertical farms, drone agriculture

    • Challenges in scalability, field variability, and cost

    • Robotics in agrigenomics, biosurveillance, and synthetic biology

    • Ethics, sustainability, and regulatory considerations

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Module 5

Intended For

  • Undergraduate degree in Agricultural Engineering, Biotechnology, Mechanical Engineering, or related fields.
  • Professionals in the agricultural technology or automation sectors.
  • Individuals with a keen interest in robotics and sustainable agricultural solutions.

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Module 6

Program Outcomes

  • Mastery of robotic systems used in agriculture
  • Understanding of automation technologies for farming efficiency
  • Skill development in integrating AI and robotics for crop management
  • Knowledge of drone applications in precision farming
  • Practical insights into sustainable agricultural automation

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Module 7

Fee Structure

Standard Fee:           INR 8,998           USD 198

Discounted Fee:       INR 4499             USD 99

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!

List of Currencies

Module 8

FOR QUERIES, FEEDBACK OR ASSISTANCE

Module 9

Key Takeaways

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet
Module 10

Future Career Prospects

  1. Agricultural Robotics Engineer
  2. Precision Farming Specialist
  3. Automation Systems Developer in Agriculture
  4. Robotics and Automation Consultant for Agri-tech
  5. Drone and AI Integration Specialist in Agriculture
  6. Sustainable Agricultural Technology Innovator

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Module 11

Job Opportunities

  • Agri-tech companies
  • Robotics and automation firms
  • Research institutions focusing on agricultural innovation, government bodies involved in agricultural modernization, and
  • Startups developing agricultural robotics solutions.

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Module 12

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Module 13

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Module 14

Recent Feedbacks In Other Workshops

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Maybe you can take less time on showing the titles of a paper and take some time to describe in a More few words what actually says the paper and what is important as a summary. Also thank you for the provided papers and websites but I think more explaination needs to be done for the coding because not everybody has a good background on it.
Maria Xinari : 01/22/2026 at 8:00 pm

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Unfortunately, many of the topics listed in the programme were not covered during the workshop, More meaning the course was only partially useful. Additionally, some topics required prior knowledge of programming languages, statistics and data analysis, a prerequisite that was not specified in the course requirements. This made it very difficult to follow that part of the workshop. I find this omission highly inappropriate, given that this is a paid workshop.
Michela Faleschini : 01/19/2026 at 8:33 pm

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Jesus Deylis Picrin Dimont : 01/18/2026 at 1:35 pm

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Instructor

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.

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Robotics and Automation in Agricultural Biotechnology

Professional Certification Program

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FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
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