Abstract
In recent decades, considerable efforts have been devoted to process automation in agriculture. Regarding irrigation systems, this demand has found several difficulties, including the lack of communication networks and the large distances to electricity supply points. With the recent implementation of LPWAN wireless communication networks (SIGFOX, LoraWan, and NBIoT), and the expanding market of electronic controllers based on free software and hardware (i.e., Arduino, Raspberry, ESP, etc.) with low energy requirements, new perspectives have appeared for the automation of agricultural irrigation networks. This paper presents a low-cost solution for automatic cloud-based irrigation. In this paper, it is proposed the design of a node network based on microcontroller ESP32-Lora and Internet connection through SIGFOX network. The results obtained show the stability and robustness of the designed system.
Highlights
Introduction and BackgroundIn modern farms, the competitiveness of the sector and the growing demand for food [1] leads to an increase in water consumption, which requires optimal water management strategies ([2,3]).The optimization of irrigation water consumption entails the improvement of crop development conditions through irrigation planning: water quantity and scheduling
Standardization, and the use of flexible platforms are the key considerations for this design, which is based on the use of Wireless Sensor Networks (WSNs) and Low Power Wide Area Networks (LPWANs) communications, as well as on IoT platform integration
Economic platforms are the key considerations for this design, which is based on the use of WSN and LPWAN
Summary
The competitiveness of the sector and the growing demand for food [1] leads to an increase in water consumption, which requires optimal water management strategies ([2,3]). The optimization of irrigation water consumption entails the improvement of crop development conditions through irrigation planning: water quantity and scheduling. For this purpose, automatic systems for monitoring variables and taking decisions are required. State of the Art. The need for optimization in agriculture became a reality in the 1970s. The development of irrigation system optimization has been closely linked to the rise and evolution of ICT [4]
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