Cargando…
Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT
Insect detection and control at an early stage are essential to the built environment (human-made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food industries, etc.) and agriculture fields. Currently, such insect control measures are manual, tedious, unsafe, and time-con...
Autores principales: | Ramalingam, Balakrishnan, Mohan, Rajesh Elara, Pookkuttath, Sathian, Gómez, Braulio Félix, Sairam Borusu, Charan Satya Chandra, Wee Teng, Tey, Tamilselvam, Yokhesh Krishnasamy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571233/ https://www.ncbi.nlm.nih.gov/pubmed/32942750 http://dx.doi.org/10.3390/s20185280 |
Ejemplares similares
-
A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework
por: Ramalingam, Balakrishnan, et al.
Publicado: (2020) -
Table Cleaning Task by Human Support Robot Using Deep Learning Technique
por: Yin, Jia, et al.
Publicado: (2020) -
AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots
por: Pookkuttath, Sathian, et al.
Publicado: (2021) -
Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot hTetro
por: Ramalingam, Balakrishnan, et al.
Publicado: (2022) -
False Ceiling Deterioration Detection and Mapping Using a Deep Learning Framework and the Teleoperated Reconfigurable ‘Falcon’ Robot
por: Semwal, Archana, et al.
Publicado: (2021)