Decision support system for biotic and abiotic stresses based on aerial phenotyping. A spatiotemporal machine learning model to predict plant health indices, pest, and disease presence, and yield estimation for onion crops in India.
A prototype of a vineyard-suitable autonomous vehicle mounted grape and plant image capturing system which will allow biotic and abiotic stress indicators to be manually identified.
• To design a robust multi-sensor fusion toolbox, which can perform Sensor Fusion for multi-rate data systems using state of art state estimation and machine learning techniques for edge computing devices. The developed toolbox inherently addresses
• The toolbox will be provided as a standalone application for the user. (The involvement in terms of the design and implementation and the specific contributions of the proposed toolbox are mentioned in Section 3.4-Objectives.). This tool will hel
• Autonomous IoT Drone System: A fully functional autonomous IoT drone system capable of detecting and accurately recording GPS coordinates of objects of interest within 5 meters of an unknown location. • Transfer Learning and Machine Learning Mo
Our collaborator in this project is Fulectronix Technologies that has been incubated at the Technology Business Incubation Foundation IIT Ropar. This is a deep-tech start-up focussing on the IoT and embedded systems. They are already developing a few
• IoT Reference Architecture; • Edge-computer or IoT-Device communication-side-architecture; • Manifest-based homogenization of IoT-heterogeneity, including grammar for the manifest specification; • Application-layer IoT-Protocol; • Single
In this project, we aim to build robust FL algorithms with low communication overhead and fast convergence behaviour in the presence of Byzantine IoT devices. We also plan to evaluate the performance of our proposed solutions on a wireless MEC-IoT te
• The immediate deliverables would be a prototype system for self-localization and navigation implemented on a ground robot and capable of navigating from a base station to a set of navigation points and back to base, considering both a stationary
• The outcomes of implementing PUF-Crypt as a lightweight security solution for IoT devices are anticipated to be multifaceted and significant. Firstly, we expect to achieve enhanced security, protecting IoT communications from a wide range of pote
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