An Intelligent System for Monitoring and Managing Agricultural Fields
Pramod Mathew Jacob1, Juna Maria John2, Parvathy Nath H3, Parvathy Nandakumar4, Sravan Suresh5
1Pramod Mathew Jacob*, Assistant Professor, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, India.
2Juna Maria John, UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India
3Parvathy Nandakumar, UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India.
4Parvathy Nath H, UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India.
5Sravan Suresh, UG Scholar, Department of Computer Science and Engineering, Providence College of Engineering, Chengannur, Kerala, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 2986-2991 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8717118419/2019©BEIESP | DOI: 10.35940/ijrte.D8717.118419
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© 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: Agriculture is a primary concern of every developing nation to maintain their GDP. But most of the processes involved in agricultural sector are still orthodox and inefficient. Though the technology is improving day by day, it is high time to incorporate technology innovations into the field of agriculture for better productivity and resource utilization. We propose an intelligent farming technology with the aid of Internet of Things (IoT) to make various farming techniques smarter and efficient. Various sensors were deployed in the fields to remotely monitor the parameters of soil, water and air. The sensed information is fed to an Android app and it will process the data and alert the farmer if any unusual events occur. Experimental results prove that our model can be used for efficient utilization of agricultural resources like water and fertilizers and thereby improve the productivity and profit.
Keywords: Smart Farming, Internet of Things (Iot), Iot In Agriculture, Sensors.
Scope of the Article: Internet of Things.