A Quick Start to Do-It-Yourself Smart Farming: An Exemplary System with the Internet of Things

Creative Commons License

Ağır İ.

IV. BALKAN AGRICULTURAL CONGRESS, Edirne, Turkey, 1 - 03 September 2022, pp.373

  • Publication Type: Conference Paper / Summary Text
  • City: Edirne
  • Country: Turkey
  • Page Numbers: pp.373


Globally emerging concerns such as climate change, carbon footprint, drought, energy crisis, pandemics and finally food supply chain problems have forced mankind to find new solutions. Since agricultural production is vital and the only way to obtain food, it must be carried out efficiently. In order to protect the health of ecology, sustainability has become the main goal in agriculture as well as everywhere else. Saving the environment and helping it maintain health, preventing pollution, poverty and malnutrition, and increasing agricultural productivity is what the world seeks to achieve today through the Sustainable Development Goals. In order to increase the crop yield and reduce the total energy, water and fertilizer used, the farmers started to apply state-of-the-art technologies in their farmlands. Consequently, the latest developments in digital technologies such as computing, communication and artificial intelligence have been applied to agriculture with great success and finally digital agriculture (or smart agriculture) has become a trending research and application topic. In this paper, we propose a system consisting of fundamental sensors and actuators such as solenoid valve, water pump, UV meter, temperature and humidity sensors, barometric pressure sensor, soil moisture sensor, rain sensor and real-time clock module; to provide a quick start to digital agriculture by developing internet of things enabled irrigation control algorithms and weather monitoring tool. We designed the system by choosing commonly used parts that are suitable for do-it-yourself practice. We used an Arduino supported IoT enabled ESP32 microcontroller, which can also perform some machine learning applications over TinyML. We demonstrated an automated water-saving sprinkler prototype where data from meteorological events and soil sensors is successfully recorded and archived in the cloud storage. We used 10 watt photovoltaic solar panels as power source. We designed the body parts of the system with Autodesk Fusion 360 and 3D printed it with ecofriendly PLA material.