Smart Crop Protection using Deep Learning Approach
Vidhya S1, Vishwashankar TJ2, Akshaya K3, Aiswarya Premdas4, Rohith R5
1Vidhya S, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
2Vishwashankar TJ, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
3Akshaya K, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
4Aiswarya Premdas, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
5Rohith R, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 301-305 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6337068819/19©BEIESP
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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: 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
Keyword: Image Classification, Convolutional Neural Network, Raspberry Pi, PIR Sensors, Pi Camera.
Scope of the Article: Deep Learning