IoT based Leaf Disease Detection and Fertilizer Recommendation
Tilak Shantaram Nayak1, Vykuntam Harini2, Ganesh Hegde3, Harshith Y N4, R.Chinnaiyan5
1Tilak Shantaram Nayak, Department of Information Science and Engineering CMR Institute of Technology, Bengaluru.
2Vykuntam Harini, Department of Information Science and Engineering CMR Institute of Technology , Bengaluru.
3 Ganesh Hegde, Department of Information Science and Engineering CMR Institute of Technology , Bengaluru.
4Harshith Y N, Department of Information Science and Engineering CMR Institute of Technology , Bengaluru.
5Dr.R.Chinnaiyan, Associate Professor Department of Information Science and Engineering CMR Institute of Technology, Bengaluru,,
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 132-136 | Volume-9 Issue-2, December 2019. | Retrieval Number: A5228119119/2019©BEIESP | DOI: 10.35940/ijitee.A5228.129219
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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: Our Eco System is getting smarter with the evolving growth of Internet of Things (IoT) technology. Internet of Thigs is integrated technique which combines the sensors into consistent items, and interconnecting them via the internet with the aid of IOT protocols for transformation of information and communication engineering fields. This proposed research deals with the idea of Internet of Things and examines the job of IOT in rural illness and creepy crawly worm control and contributes an idea regarding evaluation of dissimilar climatic thoughts of houseplant. The sensors integrated helps in detecting the moisture and humidity in soil and atmosphere. These factor helps in identifying the climatic conditions where the plant grows and the diseases that can be attacked for the plant. This proposed research work proposes an enhanced user-pleasant with Internet of Things Model for providing on-field disease identification and spraying of recommended pesticides.
Keywords: IOT Architecture System, Disease Detection, Agriculture.
Scope of the Article: IOT