Back close

Early Detection of Crop Disease and Nutritional Stresses

Project Incharge:Dr. Gopakumar G.
Early Detection of Crop Disease and Nutritional Stresses

The early detection of plant diseases using an automated system and its severity estimation with suggested intervention mechanisms could be advantageous for increasing production and productivity. This study aims to demonstrate and evaluate a high-throughput method for determining the severity of foliar (leaf and canopy level) diseases in plants at an early stage of pathogen development using imaging technology.

Collaboration

  • School of Agriculture, Amrita Vishwa Vidyapeetham, Coimbatore 

Related Projects

Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Digital/ AI Tools to Enhance Implementation 
Digital/ AI Tools to Enhance Implementation 
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Design and Development of an IoT Based Smart Irrigation and Fertilization System for Chilli Farming
Indoor Information Representation and Management System
Indoor Information Representation and Management System
Synthesis and Preliminary Evaluation of Ring
Synthesis and Preliminary Evaluation of Ring
Admissions Apply Now