AICTE EvaluatedQuality assured content
Home Applications of Artificial Intelligence in Horticulture
Online Certified CourseApplications of Artificial Intelligence in Horticulture
Looking for Physical Training for Your Institution? Contact us
CertificateRecognized certification
Video-based Self-LearningLearn at your convenience
Subscription based 3 months validityAccess anytime, anywhere
Course Modules
Applications of Artificial Intelligence in Horticulture
0 Videos
0 Assessments
Learning Objectives
-
Understand the fundamentals of AI and its applications in smart horticulture.
-
Explore AI-based techniques for fruit and vegetable disease detection and yield estimation.
-
Understand smart irrigation, fertigation, and nutrient management systems.
-
Apply AI and computer vision concepts for fruit ripeness, quality assessment, and grading.
-
Explore robotics, automated harvesting, and AI-driven post-harvest management.
Why Enroll in This Course?
Improve academic performance
Boost confidence in communication
Enhance employability & growth
Build global English proficiency
Learn at your own pace
AICTE evaluated & trusted content
What You'll Learn in Each Module
-
Introduction to AI in Horticulture & Smart Horticulture Systems: Understand AI fundamentals, smart horticulture technologies, and their applications in modern fruit and vegetable production.
-
AI-Based Fruits & Vegetables Disease Detection: Explore machine learning, deep learning, and computer vision techniques for identifying plant diseases.
-
AI-Based Fruit Detection, Counting and Yield Estimation: Learn how AI detects and counts fruits and estimates crop yield using image-based technologies.
-
Smart Irrigation, Fertigation & Nutrient Management: Understand AI-powered irrigation scheduling, water management, and precision nutrient application.
-
AI in Greenhouse, Hydroponics and Vertical Farming: Explore AI applications in controlled environment agriculture, automated climate control, and soilless cultivation systems.
-
AI-Based Fruit Ripeness, Quality Assessment and Grading: Learn image processing and AI techniques for fruit maturity detection, quality evaluation, and automated grading.
-
AI in Precision Horticulture, Robotics and Automated Harvesting: Understand precision farming, agricultural robotics, and AI-powered harvesting technologies.
-
Post-Harvest Management, Smart Supply Chains and Future Trends: Explore AI applications in storage, sorting, packaging, supply chain management, and emerging innovations in horticulture.
The Best Investment in You
What You'll Learn in Each Module
NIPA offers high-quality online courses designed by experts to help you achieve your learning goals effectively.
Overview & Objectives
Applications of Artificial Intelligence in Horticulture
Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.
About This Course
The video course explores the applications of Artificial Intelligence (AI) in modern horticulture and smart horticultural production systems. Learners will understand how AI, Machine Learning, computer vision, robotics, and IoT are used for disease detection, fruit counting, yield estimation, smart irrigation, and quality assessment. The course combines emerging technologies, practical applications, and real-world case studies to develop industry-relevant skills in precision horticulture, sustainable crop production, and smart post-harvest management.
Meet Your Trainer
T. Monika Singh
T. Monika Singh received her M.Tech degree in Computer Science and Engineering from Osmania University and is currently pursuing a Ph.D. in the Department of Information Technology at Annamalai University. Since 2017, she has been serving as a faculty member in the Department of Computer Science and Engineering at Stanley College of Engineering and Technology for Women. She has extensive experience in both teaching and research and is certified as a Project-Based Learning (PBL) mentor by Wipro, in addition to holding a TalentNext certification in Java Full Stack Development. Her primary research interest is in the field of Machine Learning, and she has authored many research publications indexed in Scopus, along with several other papers published in reputed national and international journals and conferences. She also holds a patent to her name and is an active member of the Association for Computing Machinery (ACM), demonstrating a strong commitment to advancing technological education and innovation.
