Quarterly Publication
Prediction of fertilizer in horticulture through IoT enabled technology

Agyan Kumar; Antonio Clecio Fontelles Thomaz

Volume 3, Issue 1 , March 2023, , Pages 15-20

https://doi.org/10.22105/bdcv.2022.332448.1057

Abstract
  Wireless sensor networks due to their vast area of application being used in current research areas. In agricultural field like greenhouses, various climatic condition parameters are essential to monitored for regulation of crop production. Smooth farming by means of the use of web of things advances ...  Read More

Smart bus ticketing system through IoT enabled technology

Agyan Kumar; Antônio Clécio Fontelles Thomaz

Volume 2, Issue 1 , March 2022, , Pages 1-8

https://doi.org/10.22105/bdcv.2022.326976.1046

Abstract
  This project is concerned with using a digital rather than a manual approach to providing bus passes. The major goal of this technology is to digitally manufacture bus passes and eliminate the need for handwritten paperwork. Commuters will be able to acquire their passes in a fraction of a second, eliminating ...  Read More

Smart home with neural network based object detection

Agyan Panda; Sheila Maria Muniz

Volume 2, Issue 1 , March 2022, , Pages 40-48

https://doi.org/10.22105/bdcv.2022.326975.1045

Abstract
  Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera. Low-end device techniques for detecting people in video or images ...  Read More

Credit card fraud detection through machine learning algorithm

Agyan Panda; Bharath Yadlapalli; Zhi Zhou

Volume 1, Issue 3 , September 2021, , Pages 140-145

https://doi.org/10.22105/bdcv.2021.142231

Abstract
  Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. Designing fraud detection algorithms is particularly difficult because to the non-stationary distribution of data, ...  Read More

Improve crop production through wsn: an approach of smart agriculture

Agyan Panda; Seyed Ahmad Edalatpanah; Ramin Godarzi Karim

Volume 1, Issue 2 , June 2021, , Pages 71-82

https://doi.org/10.22105/bdcv.2021.142230

Abstract
  The goal is to build and create an agricultural monitoring system that uses a wireless sensor network to boost farming production and quality without having to manually monitor it all of the time. In agriculture, temperature, humidity, and carbon dioxide levels are the most critical elements affecting ...  Read More

Automated class student counting through image processing

Agyan Panda; Azadeh Shemshad

Volume 1, Issue 1 , March 2021, , Pages 24-29

https://doi.org/10.22105/bdcv.2021.142509

Abstract
  Teachers used to keep student records manually by calling names or distributing an attendance sheet around the classroom. These procedures take time, are prone to errors, and require proxy attendance. Furthermore, digital record assimilation is time-consuming since teachers must manually put in the entries ...  Read More