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

Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Preparation of Carboxymethyl Chitin and Chitosan Derivatives
Preparation of Carboxymethyl Chitin and Chitosan Derivatives
AR-based Immersive Experience of Indian Heritage Sites
AR-based Immersive Experience of Indian Heritage Sites
Net Zero Energy Buildings with Consumer-Focused Energy Management Control-An Economic and Societal Impact Analysis for India
Net Zero Energy Buildings with Consumer-Focused Energy Management Control-An Economic and Societal Impact Analysis for India
Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning
Lymphedema Characterization Using Segmental Bio-Impedance Signals and Early Detection with Machine Learning
Admissions Apply Now