The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Automatic Irrigation System Using IoT
|
|
Author(s): Guillermo M. Limon-Molina (Universidad Politécnica de Baja California, Mexico), E. Ivette Cota-Rivera (Universidad Politécnica de Baja California, Mexico), Maria E. Raygoza-Limón (Universidad Politécnica de Baja California, Mexico), Fabian N. Murrieta-Rico (Universidad Politécnica de Baja California, Mexico), Jesus Heriberto Orduño-Osuna (Universidad Politécnica de Baja California, Mexico), Roxana Jimenez-Sánchez (Universidad Politécnica de Baja California, Mexico), Miguel E. Bravo-Zanoguera (Universidad Politécnica de Baja California, Mexico)and Abelardo Mercado (Universidad Politécnica de Baja California, Mexico)
Copyright: 2025
Pages: 12
Source title:
Scalable Modeling and Efficient Management of IoT Applications
Source Author(s)/Editor(s): Dharmendra Singh Rajput (Vellore Institute of Technology, India), Gotam Singh Lalotra (Government Degree College, Basohli, India), Vinod Kumar (Koneru Lakshmaiah Education Foundation, Guntur, India), Pushpendra Kumar (Central University of Jharkhand, India)and Harshita Patel (Vellore Institute of Technology, India)
DOI: 10.4018/979-8-3693-1686-3.ch004
Purchase
|
Abstract
Water scarcity is nowadays a global problem, which requires innovative and sustainable solutions to reduce waste. The main uses are in the agricultural sector where in most cases flood irrigation is still used. In a lower degree the domestic use is considered; here the “automated” irrigation is via temporized solenoids that turn on and off the water circulation. These kinds of systems have proved inefficiency due to not considering the real need of water for the plants and cultivations. Considering the above issues, the authors proposed Automatic Irrigation System (AIS) that uses a mobile app and microcontroller to monitor cultivations in real time; this allows the user to take informed decisions to avoid water waste. The proposed system uses moisture and temperature sensors to monitor each type of cultivation needs; with this information the system can work in automatic mode or in manual mode to be activated individually or by sections for maintenance purposes.
Related Content
|
Ravi Mohan Sharma, Sunita Dwivedi, Vinod Kumar.
© 2025.
18 pages.
|
|
Nagendra Singh Yadav, Vishal Kumar Goar.
© 2025.
40 pages.
|
|
Venkat Narayana Rao T., M. Stephen, Rohan Kolachala.
© 2025.
28 pages.
|
|
Guillermo M. Limon-Molina, E. Ivette Cota-Rivera, Maria E. Raygoza-Limón, Fabian N. Murrieta-Rico, Jesus Heriberto Orduño-Osuna, Roxana Jimenez-Sánchez, Miguel E. Bravo-Zanoguera, Abelardo Mercado.
© 2025.
12 pages.
|
|
Ravi Kant Kumar, Sobin C. C..
© 2025.
20 pages.
|
|
S. Aditi Apurva.
© 2025.
18 pages.
|
|
Parveen Sadotra, Pradeep Chouksey, Mayank Chopra, Rabia Koser, Rishikesh Rawat.
© 2025.
16 pages.
|
|
|