Big data and IoT-based applications in smart environments: A systematic review
This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …
environments. The aim is to identify key areas of application, current trends, data …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
Precision techniques and agriculture 4.0 technologies to promote sustainability in the coffee sector: state of the art, challenges and future trends
Precision Agriculture (PA) and Agriculture 4.0 (A4. 0) have been widely discussed as a
medium to address the challenges related to agricultural production. In this research, we …
medium to address the challenges related to agricultural production. In this research, we …
[HTML][HTML] Forest 4.0: Digitalization of forest using the Internet of Things (IoT)
Abstract “Digitalization of forest”, as this phrase itself suggests the sustainable
implementation of cutting-edge technologies into forests for improving the current trends that …
implementation of cutting-edge technologies into forests for improving the current trends that …
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms
Crop classification in early phenological stages has been a difficult task due to spectrum
similarity of different crops. For this purpose, low altitude platforms such as drones have …
similarity of different crops. For this purpose, low altitude platforms such as drones have …
[HTML][HTML] Terahertz (THz) biophotonics technology: Instrumentation, techniques, and biomedical applications
X Chen, H Lindley-Hatcher, RI Stantchev… - Chemical Physics …, 2022 - pubs.aip.org
Terahertz (THz) technology has experienced rapid development in the past two decades.
Growing numbers of interdisciplinary applications are emerging, including materials …
Growing numbers of interdisciplinary applications are emerging, including materials …
Plant disease detection using machine learning approaches
Plant health care is the science of anticipating and diagnosing the advent of life‐threatening
diseases in plants. The fatality rate of plants can be reduced by diagnosing them for any …
diseases in plants. The fatality rate of plants can be reduced by diagnosing them for any …
Investigation on data fusion of multisource spectral data for rice leaf diseases identification using machine learning methods
L Feng, B Wu, S Zhu, J Wang, Z Su, F Liu… - Frontiers in plant …, 2020 - frontiersin.org
Rice diseases are major threats to rice yield and quality. Rapid and accurate detection of
rice diseases is of great importance for precise disease prevention and treatment. Various …
rice diseases is of great importance for precise disease prevention and treatment. Various …
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava …
Background Rapid non-destructive measurements to predict cassava root yield over the full
growing season through large numbers of germplasm and multiple environments is a huge …
growing season through large numbers of germplasm and multiple environments is a huge …
A review of the concept, applications and implementation issues of terahertz spectral imaging technique
A Bandyopadhyay, A Sengupta - IETE Technical Review, 2022 - Taylor & Francis
Simultaneous spectral and spatial information of any object investigated through
electromagnetic radiation leads to the concept of spectral imaging technique (SIT): in …
electromagnetic radiation leads to the concept of spectral imaging technique (SIT): in …