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ARDUINO BASED SMART IRRIGATION SYSTEM AND PLANT LEAF DISEASE DETECTION USING MATLAB

Journal: International Journal of Mechanical Engineering and Technology(IJMET) (Vol.10, No. 12)

Publication Date:

Authors : ;

Page : 37-47

Keywords : Arduino; Irrigation; Disease detection; GSM module; hc-05 module;

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Abstract

The agriculture sector in India is going through a major crisis. One of the major reason for this crisis, is lack of technological advancement in the farming sector, only around 34% of the cultivated land is reasonably irrigated. Also, traditional method of irrigation is very inefficient, leading to water wastage as well as other problems such as water clogging, erosion of top soil etc. Another major reason is late identification of plant diseases, which leads to partial or complete destruction of the crops. This paper aims to address the issues by creating a model which can efficiently irrigate the crops, thereby reducing energy, labour and water consumption. The system can also identify potential diseases in the plants by observing the symptoms shown on the leaves. The aim is to create a feasible, low cost implementable model, therefore by using HC-05 modules; a wireless network has been created. The above proposed system will also relay the moisture level content in soil and the status of motor from time to time. This system uses micro-controller board based on ATmega328. It can also help to detect the type of diseases occurring, by analysis of the leaves using Kmeans segmentation algorithm in the MATLAB software. By the use of this system, assistance in the optimum growth of plants is possible, can increase the yield and also lessen the frequency of visit to the fields, enabling the farmer to focus on other agricultural activities

Last modified: 2020-01-18 18:18:53