Project

Multimodal data analysis for monitoring invasive aquatic weeds in India

Funded by Royal Academy of Engineering.

Collaboration with International Crops Research Institute for the Semi-Arid Tropics, National Institute of Plant Health Management (India), Sanatana Dharma College and University of Strathclyde.

Invasive aquatic weeds such as water hyacinth are an important problem in many parts of the world, including India. Early detection of weed regrowth after manual or mechanical removal can help to greatly reduce the cost of keeping water bodies free of the weed. However, in areas where there are many scattered and neglected water bodies present, early detection through manual surveys is difficult. This project will investigate the potential use of multi-modal data (satellite, drone, and ground-level IoT sensor data) for early detection of water hyacinth regrowth.

Total award value £299,906.46

People

Dr Savi Maharaj
Dr Savi Maharaj

Lecturer, Computing Science

Dr Deepayan Bhowmik
Dr Deepayan Bhowmik

Lecturer, Computing Science

Dr Armando Marino
Dr Armando Marino

Senior Lecturer in Earth Observation, Biological and Environmental Sciences

Dr Vahid Akbari
Dr Vahid Akbari

Research Fellow, Computing Science