Automated Irrigation System Using IoT Cloud Computing

In India, 85% freshwater is used in agriculture. This percentage continues to lead in water consumption. The population evolution and increased food demand are one of the primary factors of water maximum utilization. Therefore, primarily, agriculture is contingent on the monsoon, which is not an adequate source of water. So, irrigation is lively in the agricultural zone. Nowadays, with the constant evolution of Artificial Intelligence, IOT and Robotics, the development of monitoring and observing the garden from manual and static, can be transformed into a smart, dynamic one that is central to higher convertibility, water use productivity, and fewer human supervision exertion. This paper focuses on Internet of Things (IOT) computing, smart garden surveying, and irrigation structure, using Mega 2560. The proposed system uses a microcontroller, sensors, and a cloud server that provides real-time web concluded through a Wi-Fi network. The observed data, directed endlessly to the ThingSpeak IOT cloud. The data gathered in the cloud from the system is examined and analyzed. When the target threshold of soil moisture is touched, an action is sent consequently, cloud to the smart irrigation system to irrigate the garden. The microcontroller (Arduino Mega 2560) is implemented to design the control unit. IOT is primarily used to keep the garden owner updated about the position of the sprinklers. The data are frequently updated by the sensors on the IOT cloud. In addition to this, readings are transmitted by the sensors to a cloud channel to produce graphs for analysis.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-11
DOI
https://doi.org/10.5281/zenodo.17322887
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Irrigation System Using IoT Cloud Computing

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Automated Irrigation System Using IoT Cloud Computing

article en

Abstract

In India, 85% freshwater is used in agriculture. This percentage continues to lead in water consumption. The population evolution and increased food demand are one of the primary factors of water maximum utilization. Therefore, primarily, agriculture is contingent on the monsoon, which is not an adequate source of water. So, irrigation is lively in the agricultural zone. Nowadays, with the constant evolution of Artificial Intelligence, IOT and Robotics, the development of monitoring and observing the garden from manual and static, can be transformed into a smart, dynamic one that is central to higher convertibility, water use productivity, and fewer human supervision exertion. This paper focuses on Internet of Things (IOT) computing, smart garden surveying, and irrigation structure, using Mega 2560. The proposed system uses a microcontroller, sensors, and a cloud server that provides real-time web concluded through a Wi-Fi network. The observed data, directed endlessly to the ThingSpeak IOT cloud. The data gathered in the cloud from the system is examined and analyzed. When the target threshold of soil moisture is touched, an action is sent consequently, cloud to the smart irrigation system to irrigate the garden. The microcontroller (Arduino Mega 2560) is implemented to design the control unit. IOT is primarily used to keep the garden owner updated about the position of the sprinklers. The data are frequently updated by the sensors on the IOT cloud. In addition to this, readings are transmitted by the sensors to a cloud channel to produce graphs for analysis.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 31%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.