scholarly journals IoT enabled Plant Sensing Systems for Small and Large Scale Automated Horticultural Monitoring

Author(s):  
Sherjeel Khan ◽  
Muhammad Mustafa Hussain
Keyword(s):  
Author(s):  
Tomohiro Morohoshi ◽  
Kanako Nameki ◽  
Nobutaka Someya

Abstract We present the complete genome sequences of three Erwinia rhapontici strains, MAFF 311153, 311154, and 311155. These chromosome sequences contained variety types of luxI/luxR gene pair involved in acylhomoserine lactone (AHL) biosynthesis and reception. Large-scale insertion sequence was observed in the indigenous plasmid of MAFF 311154 and contained eraI3/eraR3 gene pair which make possible to produce acylhomoserine lactone.


2018 ◽  
Vol 5 (2) ◽  
pp. 559-570 ◽  
Author(s):  
Ling-Jyh Chen ◽  
Yao-Hua Ho ◽  
Hsin-Hung Hsieh ◽  
Shih-Ting Huang ◽  
Hu-Cheng Lee ◽  
...  

2021 ◽  
Author(s):  
Charles Bernard ◽  
Yanyan Li ◽  
Philippe Lopez ◽  
Eric Bapteste

Quorum sensing systems (QSSs) are genetic systems supporting cell-cell or bacteriophage-bacteriophage communication. By regulating behavioral switches as a function of the encoding population density, QSSs shape the social dynamics of microbial communities. However, their diversity is tremendously overlooked in bacteriophages, which implies that many density-dependent behaviors likely remains to be discovered in these viruses. Here, we developed a signature-based computational method to identify novel peptide-based RRNPP QSSs in gram-positive bacteria (e.g. Firmicutes) and their mobile genetic elements. The large-scale application of this method against available genomes of Firmicutes and bacteriophages revealed 2708 candidate RRNPP-type QSSs, including 382 found in (pro)phages. These 382 viral candidate QSSs are classified into 25 different groups of homologs, of which 22 were never described before in bacteriophages. Remarkably, genomic context analyses suggest that candidate viral QSSs from 6 different families dynamically manipulate the host biology. Specifically, many viral candidate QSSs are predicted to regulate, in a density-dependent manner, adjacent (pro)phage-encoded regulator genes whose bacterial homologs are key regulators of the sporulation initiation pathway (either Rap, Spo0E, or AbrB). Consistently, we found evidence from public data that certain of our candidate (pro)phage-encoded QSSs dynamically manipulate the timing of sporulation of the bacterial host. These findings challenge the current paradigm assuming that bacteria decide to sporulate in adverse situation. Indeed, our survey highlights that bacteriophages have evolved, multiple times, genetic systems that dynamically influence this decision to their advantage, making sporulation a survival mechanism of last resort for phage-host collectives.


Author(s):  
Ryan Bishop

A legacy of the ‘Long Cold War’ can be found in the multiple large-scale interrelated remote sensing systems operative in the present. Smart dust, for example, constitutes the basis of polyscalar computer systems of remote sensing at micro-levels and relates to ubiquitous computing, ‘pervasive networks’ and ‘utility fogs’ as potentially transmitting endless streams of ‘real time’ or stored data. Developed initially for DARPA, Smart Dust started with work by Kris Pister's team at UC Berkeley, who refer to the project as ‘autonomous sensing and communication in a cubic millimetre.’ The Limited Test Ban Treaty of 1963 pushed nuclear testing underground, forcing innovations in modes of remote sensing for purposes of verification. Because so much of teletechnological development depends on the understanding of the subject as an agent enacting its will upon a world of objects (including other subjects), the means of imagining extensions of that sensing and acting self invariably fold into and influence the interpretation of that self. The chapter provides a meditation on 'the auto-' and ‘the nomos’ as they pertain to autonomous sensing systems and the immaterial worlds that helped them come into being as well as their continuation into further systems of control at a distance.


2011 ◽  
Vol 179-180 ◽  
pp. 316-319
Author(s):  
Ying Wu ◽  
Zhao Ying Zhou ◽  
Li Jun Sun ◽  
Jin Zhang ◽  
Xiao Yun Zhang

CNT-based integrated components show potential application in many fields. The growth of carbon nanotube is very important process for the fabrication of CNT-based component. Self-aligned growth of carbon nanotube method by gas-flowing techniques is reported in this paper, which results in CNT growth along gas-flow direction. The effect of gas-flow was analyzed with numerical simulation and the growth optimization was put forward. Scanning electronic microscopy (SEM) images demonstrate that the self-aligned carbon nanotube can be realized by a gas-flowing CVD process and the distribution of carbon nanotube can be controlled by the gas-flowing rates. This research provides a parallel method for the large-scale integration of carbon nanotube into electronic, optoelectronic, and sensing systems.


Author(s):  
Sandro Bartolini ◽  
Alessandro Mecocci ◽  
Alessandro Pozzebon ◽  
Claudia Zoppetti ◽  
Duccio Bertoni ◽  
...  

In this paper the authors describe the architecture of a multidisciplinary data acquisition and visualization platform devoted to the management of coastal environments. The platform integrates heterogeneous data acquisition sub-systems that can be roughly divided in two main categories: remote sensing systems and in-situ sensing systems. Remote sensing solutions include aerial and underwater remote data acquisition while in-situ sensing solutions include the use of RFID tracers, Wireless Sensor Networks and imaging techniques. All the data collected by these subsystems are stored, integrated and fused on a single platform that is also in charge of data visualization. This last task is carried out according to the paradigm of Augmented Virtuality which foresees the augmentation of a virtually reconstructed environment with data collected in the real world. The described solution proposes a novel holistic approach where different disciplines concur, with different data acquisition techniques, to a large scale definition of coastal dynamics, in order to better describe and face the coastal erosion phenomenon. The overall framework has been conceived by the so-called Team COSTE, a joint research team between the Universities of Pisa, Siena and Florence.


2012 ◽  
Vol 4 (3) ◽  
pp. 1-19 ◽  
Author(s):  
João Andrade ◽  
Andreia Duarte ◽  
Artur Arsénio

Recent technological developments on mobile technologies associated with the growing computational capabilities of sensing enabled devices have given rise to mobile sensing systems that can target community level problems. These systems are capable of inferring intelligence from acquired raw sensed data, through the use of data mining and machine learning techniques. However, due to their recent advent, associated issues remain to be solved in a systematized way. Various areas can benefit from these initiatives, with public health systems having a major application gain. There has been interest in the use of social networks as a mean of epidemic prediction. Still, the integration between large-scale sensor networks and these initiatives, required to achieve seamless epidemic detection and prediction, is yet to be achieved. In this context, it is essential to review systems applied to epidemic prediction. This paper presents an application scenario for such predictions, namely fetus health monitoring in pregnant woman, presenting a new non-invasive portable alternative system that allows long-term pregnancy surveillance.


2017 ◽  
Vol 17 (23) ◽  
pp. 7649-7658 ◽  
Author(s):  
Hadi Habibzadeh ◽  
Zhou Qin ◽  
Tolga Soyata ◽  
Burak Kantarci

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