TY - GEN
T1 - Analytic for Temperature and Humidity-Cloud based Forecasting and Dashboard
AU - Kolhe, Mukul
AU - Paturkar, Roshan
AU - Sahu, Umesh
AU - Pillai, Sofia
AU - Titarmare, Abhijit
N1 - Funding Information:
ACKNOWLEDGMENT The work presented in this paper is supported by Center of Excellence in Artificial Intelligence and Machine Learning (CoE AIML) of G H Raisoni College of Engineering Nagpur. The authors are acknowledging to G H Raisoni University Saikheda M.P. India for providing real-time environment and dataset for this project.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Various factors affect the growth of the plants, which will later result in low productivity and quality, the foremost necessary factors that affects the growth of plants are temperature, humidity, water, and light. The aim of this study is analytics of temperature and humidity, as these are necessary for better crop yield. Therefore, in this work, low cost smart autonomous remote monitored Agri system for polyhouse and greenhouse is developed. In smart autonomous remote monitored system, collected temperature and humidity data is stored in cloud for further analytics. DHT22 temperature and humidity sensor are the main component of setup which is connected to nodemcu and nodemcu wirelessly communicates with raspberry pi. Also, developed an android application as a dashboard for monitoring. Experiments have been conducted to validate the performance of proposed monitoring system in polyhouse and greenhouse of G H Raisoni University Saikheda.
AB - Various factors affect the growth of the plants, which will later result in low productivity and quality, the foremost necessary factors that affects the growth of plants are temperature, humidity, water, and light. The aim of this study is analytics of temperature and humidity, as these are necessary for better crop yield. Therefore, in this work, low cost smart autonomous remote monitored Agri system for polyhouse and greenhouse is developed. In smart autonomous remote monitored system, collected temperature and humidity data is stored in cloud for further analytics. DHT22 temperature and humidity sensor are the main component of setup which is connected to nodemcu and nodemcu wirelessly communicates with raspberry pi. Also, developed an android application as a dashboard for monitoring. Experiments have been conducted to validate the performance of proposed monitoring system in polyhouse and greenhouse of G H Raisoni University Saikheda.
UR - https://www.scopus.com/pages/publications/85087449383
UR - https://www.scopus.com/pages/publications/85087449383#tab=citedBy
U2 - 10.1109/ICICCS48265.2020.9120944
DO - 10.1109/ICICCS48265.2020.9120944
M3 - Conference contribution
AN - SCOPUS:85087449383
T3 - Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020
SP - 674
EP - 679
BT - Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Intelligent Computing and Control Systems, ICICCS 2020
Y2 - 13 May 2020 through 15 May 2020
ER -