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Smart crop protection using deep learning approach

Publication Type : Journal Article

Publisher : International Journal of Innovative Technology and Exploring Engineering

Source : International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Publication, Volume 8, Number 8, p.301-305 (2019)

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Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2019

Abstract : Agriculture plays a major role in the development of a country. Issues concerning agribusiness have been continually thwarting the advancement of the nation. Farmers face a huge number of issues, for example, insufficiency of water for irrigation, crops withering because of climatic changes, soils lacking in nutrients and harm to crops because of pests and wildlife. In the course of recent decades innovation has created to give proficient solutions for huge numbers of these issues. In any case, the protection of farm from wild creatures has not been adequately tended to till now. Elephants, monkeys, wild boars etc. causes serious damage to the fields. The productivity is decreased by the wild creatures trampling over harvests and eating them. This project provides a solution for these problems without hurting creatures or setting human life at stake. In this project we use Raspberry pi to protect the farmland from animals. Farmland intrusions is detected utilizing PIR sensors and photos are take utilizing Pi camera. Classification of the intruded animals as local or wild animals is done using the photos taken utilizing Convolutional Neural Network. CNN a special architecture of artificial neural networks model is mainly used for classification of images. After classification is done accordingly sounds are used to ward off the creature and an SMS is sent on account of wild creature to the land owner. Data regarding these intrusions of wild and domestic creatures are sent to cloud by means of web. This way it is easy to arrive at useful information regarding the intrusions and take measures against it. © BEIESP.

Cite this Research Publication : S. Vidhya, Vishwashankar, T. J., Akshaya, K., Premdas, A., and Rohith, R., “Smart crop protection using deep learning approach”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, pp. 301-305, 2019.

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