Precision Agriculture (PA) is a farming management strategy that leverages digital technologies and techniques to monitor and optimize agricultural production processes. By utilizing data streams from satellites, mobile phones, the Internet of Things (IoT), and technologies like cloud computing and artificial intelligence, PA has the potential to improve the quantity and quality of agricultural outputs while reducing inputs and waste. This article presents a proposed irrigation system for PA in the field of smart farming. The system incorporates a diverse set of sensors, including soil moisture and temperature sensors, air humidity and temperature sensors, water level sensors, and light sensors. It also integrates weather data from a forecasting platform, encompassing variables such as wind speed, wind direction, and weather status. By collecting and analyzing field-specific data alongside weather forecasts, the system enables precise and sustainable watering practices. The data is stored, analyzed, and visualized using a ThingSpeak platform, providing farmers with valuable insights to make informed irrigation decisions.
No takes yet. Share an insight, caveat, or question.
Ghilan et al. (2024) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: