Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications
D Elavarasan, PMD Vincent - IEEE access, 2020 - ieeexplore.ieee.org
Predicting crop yield based on the environmental, soil, water and crop parameters has been
a potential research topic. Deep-learning-based models are broadly used to extract …
a potential research topic. Deep-learning-based models are broadly used to extract …
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
Service robots: Trends and technology
JA Gonzalez-Aguirre, R Osorio-Oliveros… - Applied Sciences, 2021 - mdpi.com
The 2021 sales volume in the market of service robots is attractive. Expert reports from the
International Federation of Robotics confirm 27 billion USD in total market share. Moreover …
International Federation of Robotics confirm 27 billion USD in total market share. Moreover …
Resource allocation and service provisioning in multi-agent cloud robotics: A comprehensive survey
Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …