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Intelligent Agriculture Mechanism using Internet of Things and Image Processing

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Intelligent Agriculture Mechanism using Internet of Things and Image Processing


Shubhada Bagal | Tejasvini More | Ankita Paranjape | Prof. Supriya Yadav

https://doi.org/10.31142/ijtsrd21485



Shubhada Bagal | Tejasvini More | Ankita Paranjape | Prof. Supriya Yadav "Intelligent Agriculture Mechanism using Internet of Things and Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2, February 2019, pp.798-800, URL: https://www.ijtsrd.com/papers/ijtsrd21485.pdf

This project presents a novel idea of detection and classification of leaf diseases and soil Moisture Level. It is difficult for human eyes to identify the exact type of leaf disease which occurs on the leaf of plant. Thus, in order to identify the leaf diseases accurately, the use of image processing and machine learning techniques can be helpful. The images used for this work were acquired from the field using digital camera. In pre-processing step, background removal technique is applied on the image in order to remove background from the image. Then, the background removed images are further processed for image segmentation using Otsu thresholding technique. Different segmented images will be used for extracting the features such as color, shape and texture from the images. At last, these extracted features will be used as inputs of classifier. Leaf diseases cause significant damage and economic losses in crops. Subsequently, reduction in leaf diseases by early diagnosis results in substantial improvement in quality of the product. Erroneous diagnosis of disease and its severity leads to inappropriate use of pesticides. The goal of proposed work is to diagnose the disease using image processing of plant leaf. In the proposed system, leaf image with complex background is taken as input. Thresholding is deployed to mask green pixels and image is processed to remove noise using anisotropic diffusion. Then leaf disease segmentation is done. The diseased portion from segmented images is identified. The purpose of this project is to developed our irrigation system, to make it automated and smart irrigation system. There are many countries where economy is depends on agriculture and the climatic conditions lead to lack of rains. The farmers working in the farm lands are dependent on the rains and bore wells. Even if the farm land has a water-pump, manual involvement by farmers is required to turn the pump on/off when on earth needed. The main purpose of this project is to measuring the moisture of agricultural soils by real-time method and to minimize this manual involvement by the farmer, which is why we are using a micro-controller. The sensor senses the amount of moisture present in the soil and presents an output in the form of resistance .If resistance is high then water is present in soil. Also we used another sensor to measure water level of well.

Image Processing, Internet of Things, Sensors


IJTSRD21485
Volume-3 | Issue-2, February 2019
798-800
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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