Implementation of IoT with Image Processing in Greenhouse Monitoring System
Tariku Birhanu Wudneh1, V. Vanitha2
1Tariku Birhanu Wudneh, Department of M. Tech, (MSc), Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. ICT Team leader at ENAO, Ethiopia.
2Dr. V. Vanitha, Associate Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Manuscript received on 25 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 509-514 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7711078919/19©BEIESP | DOI: 10.35940/ijitee.I7711.078919
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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: Greenhouse automation system using Internet of Things (IoT) is a technical approach that benefits farmers by the automation and control of the greenhouse environment including plants health monitoring. Farmers’ activities in the greenhouse are considered important in terms of producing strategic food for the population. In general, greenhouses are usually affected by the weather and plant diseases, as a result, their yield can be minimized and thus income is reduced. Through the analysis of the current situation of small-scale greenhouses, this paper proposes a low-cost solution for controlling, identifying, and classifying of infected plant leaves and automation of agricultural greenhouse. Design and prototype development of the proposed project has been done using Raspberry Pi, NODE MCU SP8266, different sensors and MATLAB. The programming language, MATLAB, is used to classify infected plant leaves, and sensors have been used to measure temperature and humidity of the greenhouse environment. In addition, controlling of actuators have been attained through solid state relays in order to turn the water drip system on or off upon reaching the predetermined threshold value. Finally, the greenhouse farmers interact with the proposed system via the cloud-based platform. This greenhouse automation system will benefit greenhouse farmers by enabling them to automatically monitor and control the greenhouse environment without their direct supervision.
Keywords: IoT, Greenhouse Monitoring, Plant Diseases
Scope of the Article: IoT