IoT based Animal Health Monitoring and Crop Monitoring System

Abstract

Abstract-Agriculture is the major supply of financial gain in rural areas. It is therefore essential for farmers to exe-cute efficient and technical methods to increase productivity, reduces the animal husbandry and crop-related problems. The work proposes smart irrigation, disease forecasting and animal health care benefiting the farmers by using Wireless Sensor Network technology and IoT applications. Wireless sensor devices mounted in the farm will collect the ecological information like temperature, humidity, moisture and pass it onto the Micro-controller for that Analog to Digital Convertor (ADC) is used. And the Sensor Calibration (SC) technique shows the values (temperature, humidity, moisture) in voltage. The data import API uses Internet HTTP connection over GPRS, Wi-Fi, or wired connection. The IoT platform is responsible for the integration and management of sensor data. The database contains expertise solution on every possible disease for animals and crops. The database server will process the input parameters, which predict the disease and display the solution onto the users Smart-phone or PC where android app resides using TCP/IP protocol. To enhance the efficiency data compression algorithm Lempel-Ziv-Welch (LZW) is used. Finally this project proposes the Animal Health Monitoring and contributing the Precision Agriculture which helps enhancing the productivity and save the time. Thus the purpose of using this system is to fulfill the gap between farmers and the expertise.