Online ISSN: 2515-8260

Keywords : Arduino


SP. Vijaya Vardan Reddy; B. Sneha; M. Vinothini; R. Vishnu Kritthika; Y. Deepika

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1443-1451

The purpose of this project is to give the farmer a complete irrigation system using the Internet of Things. It may be a challenge to shape a value-efficient automatic irrigation system to scale the waste from backwater. It is important to provide different criteria in order to decide the successful amount of water for plants. The suggested scheme consists of different kinds of sensors with low cost and low power consumption. For example- soil moisture sensor, temperature sensor. The Raspberry Pi is built with sensors to control the opening of the irrigation valve. The phone is used for remote control. Both sensors communicate with The Raspberry Pi. To produce the animal sound and intimate the designated individual using a buzzer and connect with Lora, the sound module is used. The PIR sensor is used for human recognition. Using Lora touch the soil moisture sensor is used to measure the soil moisture level and thus the LCD level view. Additionally, the moisture level value is submitted to the mobile entity accessing the web page.


Dr R.Senthil Kumar; N. Ananthi; K. Kumaran; Kiruba Raja; Khansa Khanam U; Nithin Raj

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2712-2717

Aquaponics is the eco-friendly system which is used for the production of food by utilizing certain concepts such as aquaculture and hydroponic. These methods ultimately help us to cultivate fish and crops without the vicinity of soil . The growth performance of a fish along with certain leafy vegeta-bles will be tested and the result will be estimated during the recirculation of the system with respect to the temperature and the effective use of the fish excretion. Arduino usually acts as the brain of the system and that being used in aquaponic helps us to receive the information from the sensors and reciprocate as instructions with respect to feedback. Later, actions will be initiated based on the systems actuator. Aq-uaponics is an inexpensive symbiotic cycle between the living organism and the crop. In this system Fish excretion (ammonia) is incorporated into the plant bed which in turn acts as the biofilter and grasps the nitrate that is crucial for vegetation. Then the fresh water is returned to restart the cycle. The Fish is fed with pellets that contains 30% of the crude proteins that enhances almost all the nutrients that are re-quired for efficient plant growth.

Lab-Build Very Simplefluorimeterflow injectionsystem with Assistanceof 3D printer

Ali S. Namea; K.H.Al- Sowdani

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3818-3827

This study focusing on build-up and designing a fluorimeter flow injection system with assistance of a 3D printer..
The fluorimeter as new detector in our laboratory is a very simple fluorimeter was designed and built-up by the aid
of a 3D printer to housing in which all the components are supplied from the local market. It consists of three major
parts. Firstly, a simple, low-voltages, and long-lived light-emitting diodes (LED) with 0.25 watt. The second parts is
450 μL flow cell QS Hellman with four faces in order to select precisely the 90 ₒ angle between the source and
third components, the LED arrays detector . All these components were put in small plastic box which the internal
and external covers were made from black plastic which thought to prevents the unwanted light from reaching the
detector. The device is very light weight (165.5 g ) and the fluorimeter box dimensions were 11cm in length , 8cm in
width and 3cm in height.Two Microcontrollers Mega and UNO types were used as data a data-logger and controlled
the home-made mini peristaltic pump, respectively. A direct fluorimetric determination of fluorescein dye as an
example which was carried out in this work. This thought will be made the construction system a very simple
fluorimeter since the dye excited and fluorescent in the visible range.Linearity was found in the range ( 0.2-1.6 x 10-
4mol/L) with a regression coefficient of eight points was 0.9989, r.s.d% for ten replicates of was 0.84% and detection
limit was 0.1×10-4mol/L. The sample throughput was 200 samples per hour. The dispersion coefficient of the
manifold was 1.04. The lab-build semi-automated fluorometeric FI system was reliable, fast and low cost which is
matching our undergraduate laboratories with low budget.

Agro based crop and fertilizer recommendation system using machine learning

Preethi G; Rathi Priya; Sanjula S M; Lalitha S D; Vijaya Bindhu B

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2043-2051

Over one third of world are employed in agriculture and the quantity is gradually falling because the financial losses of the farmers. One of the causes behind this momentary loss is the shortage for era in agriculture. Continuous cropping and over use of fertilizers cause the decline in soil productiveness and impact the environment as well The paper explains how the amount of soil vitamins and environmental factors followed by the pointers for cropping and special fertilization of the site can be established. 1 The selection of the best crop for the soil and the sowing of it to provide the full yield is one of the key problems in agriculture. The proposed method takes the soil and PH samples as the input and helps to predict the crops that can be recommended suitable for the soil and fertilizer that can be used as the solution in the form of the webpage.So, the soil information is collected through sensors an the data transmitted from the Arduino through Zigbee and WSN ( Wireless Sensor Network) to MATLAB and analyzing the soil data and processing is done with help of ANN (Artificial Neural Network) and crop recommendations is done using SVM ( Support Vector Machine ) .

Automatic Monitoring And Updation of Vehicular Data Base To Regularize Traffic & Avoid Vehicle Theft By Using RF& IoT Technology

S. Mahaboob Basha; V. Bhuvanewari; Arun .; S. Yuvaraj; R. Pavaiyarkarasi; J. Navin Sankar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2176-2183

Automatic bus tracking is an important approach to modern intelligent transportation systems (ITS). The aim of the project is to recognize the bus which passes through the gate by automatically using RFID. Generally the bus is tracked in the gate during the entry and exit. The system detected the bus entry using RFID then sends the bus entry to the cloud [Internet of Things] via Wi-Fi to the database. It tracks each and every bus enters and exits in the gate and display reports with date and time of bus entries and exit in online (webpage).