Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Agriculture forms the major part of our Indian economy. In the current world, agriculture and irrigation are the essential and foremost sectors. It is a mandatory need to apply information and communication technology in our agricultural industries to aid agriculturalists and farmers to improve vice all stages of crop cultivation and post-harvest. It helps to enhance the country’s G.D.P. Agriculture needs to be assisted by modern automation to produce the maximum yield. The recent development in technology has a significant impact on agriculture. The evolutions of Machine Learning (ML) and the Internet of Things (IoT) have supported researchers to implement this automation in agriculture to support farmers. ML allows farmers to improve yield make use of effective land utilisation, the fruitfulness of the soil, level of water, mineral insufficiencies control pest, trim development and horticulture. Application of remote sensors like temperature, humidity, soil moisture, water level sensors and pH value will provide an idea to on active farming, which will show accuracy as well as practical agriculture to deal with challenges in the field. This advancement could empower agricultural management systems to handle farm data in an orchestrated manner and increase the agribusiness by formulating effective strategies. This paper highlights contribute to an overview of the modern technologies deployed to agriculture and suggests an outline of the current and potential applications, and discusses the challenges and possible solutions and implementations. Besides, it elucidates the problems, specific potential solutions, and future directions for the agriculture sector using Machine Learning and the Internet of things.

School of Computer Science and Engineering

Vellore Campus

Ubiquitous Computing

Internet of Things and Machine Learning Applications for Smart Precision Agriculture

Department of Sensor and Biomedical Technology

School of Electronics Engineering

INNOVATIVE TEACHING PRACTICES FOR 4G STUDENTS

To improve teaching -learning process

Sensors for alcohols can be fabricated using Direct Methanol Fuel Cell (DMFC) technology. The designed and fabrication of the sensor is by means of micro electro mechanical systems (MEMS) fabrication technology with microfludic interconnects and with the electrochemical inputs using a standard DMFC cell arrangement. An amperometric detection technique will be employed. The accuracy will be determined by the accurate detection of electric current or changes in electric current. Using a passive mode design protocol in COMSOL Multiphysics, we have optimized the overall power density and hence the sensitivity of the sensor. This was achieved using various physical parametric functions, and interfacing Darcy's law of fluidic flow through a porous medium, under specific pressure and temperature. This involved the fabrication of fluid flow diffusion layers using carbon matrix for electrodes. Pt-Sn was chosen as the Oxygen Reduction Reaction (ORR) catalysts. The cell outputs have been discussed.

Department of Physics

School of Advanced Sciences

ECS Transactions

<a href="https://iopscience.iop.org/article/10.1149/07517.0085ecst/meta">Study of Alcohol Sensing Devices Using DMFC Technology</a>

This study deals with posture analysis, human Posture Analysis focuses on how human posture can affect task performance by analyzing local and global postures, preferred angles, and comfort. Thus by analyzing the posture of individual through photography with appropriate position (such as aligning the subjects to stand in back coronal pose) and obtaining the image in mathematical tool, and then quantization of image is being done, thus validating the above obtained data with GAIT analysis and finding the susceptibility of disorders associated to the subjects. © 2016 IEEE.

VIT Unitversity

2016 Online International Conference on Green Engineering and Technologies (IC-GET)

An image processing technique combined with Real time data acquisition to identify the posture imbalance in normal subjects

Tin oxide (SnO2) nanoparticles were prepared using Persia Americana seed methanolic extract by calcining stannous chloride precursors at 300-500 °C by green synthesis method. Synthesized SnO2 NPs were confirmed via characterization techniques such as UV-visible spectroscopy (UV), X-ray diffraction (XRD), Scanning Electron Microscope (SEM) and Energy Dispersive X-ray analysis (EDAX). The results of characterization technique states that the synthesized nanoparticles were in the size of 4 nm and further we have undergone catalytic degradation of organic dye named phenolsulfonphthalein (phenol red). The result showed that SnO2 NPs shows much degradation activity by the catalytic action of long UV exactly at 365 nm. © 2015 Elsevier B.V. All rights reserved.

Mechanical

School of Mechanical Engineering

Chennai Campus

Department of Chemistry

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Green synthesis of SnO 2 nanoparticles and its photocatalytic activity of phenolsulfonphthalein dye

ABSTRACTDirect Methanol Fuel Cell, DMFC, technology, can be used for fabrication of sensors for volatile organic compounds like alcohols. A fundamental limitation in DMFC is methanol crossover. In this process methanol diffuses from the anode through the electrolyte to the cathode, where it reacts directly with the oxygen and produces no electrical current from the cell. This also results in poisoning of the cathode catalysts. The designed and fabrication of the sensor is by means of micro electro mechanical systems (MEMS) fabrication technology with electrochemical inputs. To achieve this we have used a passive mode design protocol using COMSOL Multiphysics. The design and simulation would involve optimization of various parameters, in the construction of the cell. We can optimize the overall power density and hence the sensitivity of the sensor by the modification of various parameters like the area of the working electrodes, separation distance and the electrode-electrolyte interface. A passive mode design protocol, for a cm cell area, using various parametric functions, and interfacing Darcy’s law of fluidic flow through a porous medium, under specific pressure and temperature, was applied. The designing involves the construction of gas diffusion layers using carbon cloth for anode and cathode with various parametric variations. Nafion membrane was selected as proton exchange membrane for the construction with different interface structure to analyze the sensor’s performance. Platinum and various alloy catalysts like Pt-Ru, Pt-Fe, Pt-Sn and Pt-Mo was chosen as the working catalysts. The parametric functions of the cell were optimized for ampherometric detection. It is proposed to design a MEMS based sensor with microfludic interconnects and its response characteristics will be studied.

MRS Proceedings

Design and Simulation of methanol sensing devices using DMFC technology

World University root node

Journal of Nanoelectronics and Optoelectronics

Optical Characterizations of CdS Thin Films Grown by Pulsed Laser Deposition Technique

Journal of the Korean Physical Society

Synthesis and characterization of In2O3nanoparticles

Gas monitoring devices consisting of metal oxide thin films have been very widely applied as chemical sensors. They find profound use towards detection of toxic pollutant gases and organic vapors. They provide beneficiary merits as large scale commercial sensors owing to their low price, small size, high sensitivity and consume very low power. Ethanol is one of the most commonly and extensively used alcohol, both in the fields of research and industrial applications. There is an imminent need to develop sensors for its detection with very sensitivity. In this study, Zinc oxide nanoparticles were prepared by a suitable soft chemical method. ZnO thick films were prepared from these nanoparticles by dip coating method. ZnO thick films are coated on an Alumina substrate and the sensor is tested for ethanol for 50 ppm at various temperatures. The sensor was found to operate with maximum efficiency at an optimum temperature of 350°C.

Journal of Applied Sciences

Ethanol Sensor Based on Dip Coated ZnO Thick Films

Thick film of silver decamolybdate (Ag6Mo10O 33) was screen printed and thin film of chromium titanate Cr 1.8Ti0.2O3+δ was laser deposited on alumina substrates. Morphological features of the films were characterised and ammonia sensing properties were studied. Resistance of Ag6Mo 10O33 thick films decrease on introduction of NH 3 gas and these films were capable of sensing 2 ppm of ammonia in air at 578 K. Cr1.8Ti0.2O3+δ thin films could sense 20 ppm of ammonia in air at 673 K, which exhibited increase in resistance towards NH3 gas. © 2008 Institute of Materials, Minerals and Mining.

Department of Instrumentation

School of Electrical Engineering

Surface Engineering

Ammonia sensing properties of thick and thin films of Ag6Mo10O33and Cr1·8Ti0·2O3+δ

The sensors can be developed based on ampherometric principle using Direct Methanol Fuel Cell (DMFC) technology. The synthesis of cost effective electrocatalyst materials for improved oxygen reduction reaction (ORR) and preparing electrodes by using suitable methods to reduce the cost of the sensing electrode is the major objective of the present work. Pt-Sn alloy exhibits high sensitivity in ORR among other Pt alloys and hence will be used as the ORR catalysts. For various concentration of methanol at different temperature, the current density of the chemically synthesised and characterized Pt-Sn/C was analysed. The accuracy will be determined by the detection of electric current or changes in electric current to design the sensor. To analyse the sensor accuracy, we have used passive mode design protocol in COMSOL Multiphysics. From the constructed cell of 1.0 cm cell area, we can optimize the overall power density and hence the sensitivity of the sensor by the modification of the cell parameters and interfacing it with Darcy’s law of fluidic flow through porous electrode medium. The micro electro mechanical systems (MEMS) technology was used for the design and fabrication of sensor with the electrochemical inputs from a standard DMFC single cell arrangement. The cell structure has been fabricated using a 3D printing technology and the output of the cell was optimized for ampherometric detection. The sensor with microfludic interconnects were fabricated by MEMS technology. The sensor response characteristics were studied and will be presented.

MATEC Web of Conferences

<a href="https://www.matec-conferences.org/articles/matecconf/abs/2018/84/matecconf_ses2018_01014/matecconf_ses2018_01014.html">Design and Development of Methanol Sensing MEMS Sensor for DMFC Technology</a>