Farming 4 - Smart Farming Technologies
The interface of the architecture Internet of Things (IoT). It contains the tasks of monitoring, controlling components such as Actuator, Sensor, Hybrid Devices, Human, Service, and Data from the web environment, creating infrastructure for artificial intelligence applications. The communication between them is carried out by the MQTT method. However, the exchange of information is encrypted with an algorithm that we develop both through hardware and through the website. Passwords are defined according to each object in a unique, interchangeable, (time-depending(working on) way. We currently use our system as an infrastructure in many of our following products. We create our objects in accordance with many technologies such as Wi-Fi, Docker, RabbitMQ, Tensorflow, Database, Homeassistant, Google Assistant, and RF in hardware components. Most of our objects can easily perform both encryption and tasks on an 8-bit processor. . And the system works with Homeassistant too.
#MQTT #SmartFarming #SmartChickenCoop #Irrigation #SmartIrrigation
As a result of the use of the internet database of the sensors and control processes of the devices created, web objects were created. It is aimed to store sensors’ data on remote servers to detect physical events with objects, interact with other components, relate to external data, and create a device that enables connecting, control, monitoring, and programming with all kinds of devices from all points in real-time.
Thanks to the development of electronic hardware, wireless networking, and internet technologies, a new era has been reached in which small wireless devices can be accessed ad anywhere at any time and actively contribute to the creation of intelligent sensor networks. As a result of the use of the internet database of wireless sensors, web objects were created. The cloud sensor is devices created by sending the sensors’ data on remote servers to detect physical events, interacting with other sensor data, associating them with external data, and connecting them with all kinds of devices from all points in real-time. It is estimated that it will find large areas of application for objects due to its features such as reliability, flexibility, effective cost, and ease of installation. The devices developed in this study are also planned to be used in science, agriculture, education, maritime, sports, aviation, measurement of edible energy sources, environmental observation, smart buildings, disaster management, road condition, and so on.
Temperature, humidity, distance, movement, air pollution, wind direction, and wind speed sensors were created and used for the devices in the project work. In addition, control circuits such as relay control, dimmer control, servo motor control, engine control, lock control, and audio output have been created to perform control operations. Together with sensor data, time is instantly recorded to improve traceability and efficiency to the cloud database by combining device and external data. In addition, the working, location and order status of the control jihads are reported from the database. The database system provides a roof for analysis and decision-making and demonstration of the scholar. MySQL database was used for the database system. This data is delivered to remote users through the interface study prepared with PHP and JAVA program. In this interface prepared, numerical data and graphs are created for users within the desired time period or in real-time. In addition, with the developed command designs in the interface, the device can easily send connected or user-assisted commands over time. In this way, without time and space problems, users can instantly see the changes in sensor values with computers, phones, tablets or etc. connected to the internet and control their devices. In addition, users can see and program the change of the selected parameter in the graphical environment during the time period they choose.
Data can be exported from a large amount of sensor cloud devices. External web connections may be charged, for example, daily weather reports or current energy prices. Or, coordinate data can be obtained from the user’s mobile phone. . In addition, operations such as control of devices, mechanical movement, switching process using cloud device controller are carried out or recorded whether they are decision-making, program-controlled or user-controlled or user-controlled. All this data is kept in the cloud database.