Automated Irrigation and Smart Farming
S. Sri Heera1, P Suganthan2, S Sudarshan Athreya3, S Suriya Narasimman4, M Rakesh5
1S. Sri Heera, Assistant Professor, Department of Computer Science Engineering, Easwari Engineering College, Chennai (Tamil Nadu), India.
2P Suganthan, UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai (Tamil Nadu), India.
3S SudarshanAthreya, UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai (Tamil Nadu), India.
4S Suriya Narasimman, UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai (Tamil Nadu), India.
5M Rakesh, UG Student, Department of Computer Science Engineering, Easwari Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 30 September 2019 | Revised Manuscript received on 12 November 2019 | Manuscript Published on 22 November 2019 | PP: 1450-1452 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F12580986S319/19©BEIESP | DOI: 10.35940/ijeat.F1258.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Industry 4.0 has already arrived in the world and is leaving no stone unturned. It can be quickly summarized into just 4 components being, Cyber- physical systems, IOT, Cloud Computing and Cognitive computing. Current technologies, which uses soil moisture sensor require hard wiring and manual interventions. Other timer technologies irrigate the plants at certain interval without checking the need. In the proposed system, robotics with Artificial Intelligence are integrated with IoT systems to allow the farmer who is available at a different location than the farm to get the necessary updates involving the irrigation process taking place in the field. The system will also drain the excess water. The proposed system would allow better water management, higher yield and reduce the required manpower.
Keywords: Artificial Intelligence, Automated Irrigation, IoT.
Scope of the Article: Smart Grid Communications