Ecosystem Controlling Using Identification of Animal Based on Deep Learning and GLCM (Gray Level Co-occurrence Matrix) Method

Ari Purno Wahyu,Feri Sulianta

doi:10.13189/ujeee.2019.061302

Abstract

Indonesia is the largest country in Southeast Asia. Plantations in Indonesia are still traditionally and use irrigation systems that are housed in reservoirs and ponds. While plantations in West Java generally averaged near springs and near nature preserve locations, which has a benefit impact of the available amount of water. The negative impact is entry on areas by animals and pests, which will damage Plantation grounds and other agricultural land. The animals generally go down at night when the time of the harvest season arrives. Currently, prevention of destructive animals is done by making a trap, but it is very dangerous for animals and farmers. This can lead to more severe death and destruction, especially if the dead are protected animals. One of the safe technologies, which can be used is by installing camera in the plantation area. This system is connected with the computer remotely and can operate automatically. This system is equipped with data on all types of animals that are protected. The data is processed with the Deep Learning Method and GLCM. The system will identify the animal in the category of pests or not by recognizing the pattern, texture and posture of the animal, for example if the system distinguished the wild boar. This system is considered effective and does not interfere the ecosystem and animal habitat. The addition of thermal camera and remote sensing are very effective to monitor the condition of the plant. This system is effective reduce and avoid animals killing and able to control stability the ecosystem.

Highlights

Maintaining ecological balance in an ecosystem is an important thing in the modern era, where human development and mobility towards development is increasingly spreading from city to village and human needs for food are increasing
The researchers tried a computerized technique to aid what was used as a tool to support ecology
Image research and processing were analyzed using neural network algorithms, where all input and weighting data were taken from datasets of image of plants and animals that had been formatted from the original image into Gray Level Co-Occurrence Matrix and RGB data

Summary

Introduction

Maintaining ecological balance in an ecosystem is an important thing in the modern era, where human development and mobility towards development is increasingly spreading from city to village and human needs for food are increasing. This makes people feel willing to open new land. One of the technologies used to monitor animals in the wild is the use of cameras, which are put the forest areas or crossing paths This system is commonly called a camera trap, which is considered appropriate and can be controlled from a long distance. Computer vision systems try to record the types of animals needed to support conservation systems without damaging the habitat these animals

Theoretical Basis

Research Method

Implementation System

Conclusions