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Sunday, November 22, 2015

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression #IJSRD

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression


Author(s):  Dr. T. M. V. Suryanarayana , WREMI, The M.S. University of Baroda

Keywords: Climatological Data, Crop Yield, Multiple Linear Regression, R.M.S.E., Coefficient of Correlation

Abstract

An attempt has been made to carry out the study of determining the predominant climatological variables in estimating the crop yield. The climatological data are collected for the period 1981- 2006 and correlated with yield of cotton in Vallabh Vidyanagar using Multiple Linear Regression. The Climatological variables considered are Maximum Temperature, Minimum Temperature, Relative Humidity, Wind Speed and Sunshine Hours. The multiple linear models have been developed, to study their impact in prediction of the crop yield. The study has been carried out with eight different combinations of the five independent variables considered, to correlate with the crop yield. In each combination, i.e 1 to 8, the whole data is divided into proportions for training and Validation, such as 70% and 30% & 60% and 40% respectively. The developed Multiple Linear Regression Models are evaluated based on the performance indices such as Root Mean Squared Error and Correlation Coefficient. Based on the evaluation, the models developed are found to perform better in 60%-40% proportion of the data considered for the Study. Therefore in this considered proportion of the dataset, the models developed are ranked based on the obtained R.M.S.E. and R. The results clearly show that the consideration of all the variables, yield the best model with minimum R.M.S.E. and maximum R, followed by the combinations considering Maximum Temperature, Minimum Temperature, Relative Humidity as dependent variables along with/without Wind Speed/Sunshine hours. Moreover excluding the Relative Humidity, and trying the combinations of Maximum Temperature, Minimum Temperature along with/without Wind Speed/Sunshine Hours yields the poor models with maximum R.M.S.E. amd Minimum R. Hence considering multiple linear regression models and the eight combinations studied, it reveals that the yield of a crop is very much dependent on maximum and minimum temperatures & relative humidity.

For Full Length Paper :

Monday, November 16, 2015

Real Time Weather Monitoring System #NCIL #IJSRD


Paper Title : Real Time Weather Monitoring System

Author(s): Sarthak Kala, Maharaja Agrasen College, University of Delhi; Pranav Negi, Maharaja Agrasen College, University of Delhi

Keywords: DHT11 , BMP 180, Tipping Bucket, Reed Switch, Arduino

Abstract : Weather reflects the short term change in our atmosphere, the volatile variable in our environment. Monitoring weather trends can give us an insight into the environment around us. The aim of this paper is to build an automated real time weather monitoring system by leveraging the power of Open Source Hardware. Never has the open source community been this much connected and implementation of this technology so convenient. All data is collected by different types of sensors available locally and are controlled using a microcontroller. Meteorological parameters being considered here are: Temperature, Humidity, Barometric Pressure, Rainfall and Wind Speed. Parameters like Heat Index and Wind Chill which are derived from combinations of Temperature &Humidity and Temperature & Wind-Speed respectively can also be calculated.

Monday, November 9, 2015

NATIONAL CONFERENCE ON ICT Transforming ICT to IoT


NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD – International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things). 
Researchers working on IoT and ICT can submit their papers under following themes of conference.
  1. Pedagogy for effective use of ICT in Engineering Education.
  2. IoT for everyday life.
  3. IoT for smart house.
Chief Patron
Er. Shri Rajendra Shah
Patron
Dr. Rupesh P. Vasani
Ms. Neelima Shah
Ms. Pooja Shah
Convener
Dr. S. G. Desai
 Coordinators
 Technical Committee
Prof. Vijay Gadhavi (SALITER)
Prof. Dushyant Rathod (SCE)
Prof. Mayank Parekh (SCE)
Prof. Tejas Mehta (SETI)
Prof. Nidhi Barot
Prof. Pooja Mehta
Prof. Archana Patel
Prof. Ankita Gandhi

ORGANISED BY

SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in


PUBLICATION PARTNER

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com