
Smart agriculture monitoring system for outdoor and hydroponic environments
Author(s) -
Bijolin Edwin,
Ebenezer Veemaraj,
P. Parthiban,
Joseph Pushparaj Devarajan,
Vargheese Mariadhas,
Ahila Arumuga Nainar,
M. Harsha Vardhan Reddy
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v25.i3.pp1679-1687
Subject(s) - short message service , mobile phone , gsm , cloud computing , arduino , computer science , agriculture , phone , interface (matter) , telecommunications , computer security , embedded system , operating system , geography , linguistics , philosophy , bubble , maximum bubble pressure method , archaeology
Agriculture plays an important role in economic aspects in most countries like India. Numerous problems associated with farming are continuously affecting the actions that are happening in the country. A potential resolution for such issues to be eradicated, one should combine the technological advancements with current ongoing agricultural practices. Good agricultural practice will increase crop productivity and reduce unwanted water usage. Many authors have done research on temperature, nutrition, and pH-controlled systems. But no one concentrated on alert messages sent to the mobile phone. The main objective of the proposed system measures various natural aspects that use a global system for mobile communication (GSM) module that is connected to an Arduino to transfer the data that is obtained by the sensors to an internet of things (IoT) application programming interface (API) which is a kind of cloud computing of obtained data, this data can be analyzed if needed, and an alert short message service (SMS) is sent to the cell phone/mobile phone. The alert message can be done through conversational artificial intelligence (CAI). It is the collection of technologies behind triggering the message that will be sent automatically to the mobile as an SMS if any of the sensor values that are generating are not under already specified threshold values.