Smart Crop Protection Using IOT with Deep Learning
Author(s):
Amogha varsha K M, D P Vishnu Rao, M D Adil, Prasanna Hiremath, Sarvar Begum
Keywords:
Image Classification, Convolutional Neural Network, Raspberry Pi, PIR Sensors, Pi Camera.
Abstract
Agriculture plays a major role in the development of a country. Issues concerning agribusiness have been continually prevents the advancement of the nation. Farmers face a huge number of issues. 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 addressed 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. IOT with deeplearning technology can be used for not only for the crop protection but also for forest protection from Smuggling by detecting the smugglers location in the forest. In this project we use IOT to check whether any animal ,bird or human has entered the field / form we use deep learning algorithms to categorize them into wild animals and birds. Here we use CNN algorithm for classification of images and notify that to the farmer and forest department by sending the SMS that has information about location of wild animal/smuggler. So that the damage occurred to the crop can be reduced efficiently. Also detects the animal/smugglers in the captured image and repels it by playing the respective sounds
Article Details
Unique Paper ID: 155545

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 1273 - 1276
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