Earth, Atmosphere & Environment Sciences
Title : | Radar Entomology in Near Real Time using Machine Learning. |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Atmospheric Science |
Principal Investigator : | PI: Dr. J. Indu Department of Civil Engineering, Indian Institute of Technology Bombay, Maharashtra, Mumbai, Maharashtra, Maharashtra 400076 India |
Timeline Start Year : | 2022 |
Details
Executive Summary : | There exists lack of research focused on utilizing DWR as locust swarm detection system. Even though DWR captures the signals from biological targets, identifying and demarcating them in the DWR images is highly laborious and requies skilled persons for interpretations. The increase in computation and the emerging methods in deep learning have shown the potential to address the time consuming human interpretation process. Applying the machine learning algorithms to detect locust swarms will reduce the time consuming extraction process. The present work proposes and advance machine learning algorithms for DWR quality control and for detecting the appearance of precipitation and biological targets in the Indian DWR products. For the proposed approach, DWR data from the Indian Meteorological Department is taken for selected case study dates to develop the framework of the proposed approach. The research hypothesis being tested is "Can DWR Quality control measures in conjunction with ML techniques be used to effectively predict the swarm of locusts?" The outcome of this project will provide a near real time system for detection of locusts using Doppler Weather Radar and Machine Learning approach, which will be important for agricultural management. |
Co-PI: | Prof. Biplab Banerjee, Assistant Professor at the Center for Studies in Resources Engineering (CSRE) IIT Bombay, Maharashtra, Powai, Mumbai, Maharashtra - 400076, Maharashtra, India |
Total Budget (INR): | 40,14,000 |
Organizations involved