Scholarlink

<p>Since growing water scarcities in agricultural yields, it is primordial to manage irrigation well. This paper describes the design and tests a new Internet of Things (IoT) based smart irrigation system which utilizes sensors to measure soil moisture, air temperature, humidity as well as an evapotranspiration (ET) algorithm. The system sends real-time sensor data to the Arduino Cloud via the LoRaWAN communication procedure. This permits monitor and control irrigation events far away. The multi-parameter control logic represents a key innovative idea. It begins irrigation once the soil moisture drops less than a calibrated level of 20% and ceases it when it achieves 70%. The irrigation duration is also altered based on atmospheric request (temperature and humidity) to overtake for ET losses. A three-day pilot trial on an olive farm in Monastir, Tunisia, demonstrated that the system marches from start to the end and could help save water. The ET-compensated system cut total irrigation time by 20% (from 20&#xa0;min to 16&#xa0;min) over two irrigation events contraries to a simulated single-sensor baseline with a fixed irrigation duration. The biggest savings (40%) were made during highest ET conditions at midday. Using PVSYST simulations, the photovoltaic (PV) array was sized to provide a total energy of 1763.5 kWh/m²/year and consumes 880 kWh/year for the pump operation for a 1.3- hectare farm, which made the system energy-independent. These initial results authorize the technical viability of the proposed methodology and underscore its ability to boost water-use efficiency in precision agriculture. Future research will focus on long-term experimental validation over several seasons and crop diversities to find out statistical relevance and generalizability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Design and Implementation of a Novel Smart Agriculture’s Irrigation System Integrating IoT Technologies

  • 期刊论文

  • 发表日期：

    2026年5月23日

查看全文
  • Anissa Ghomrassi,
  • Sihem Amara,
  • Monia Chaabane,
  • Hatem Mhiri,
  • Chokri Ben Salah

摘要

Since growing water scarcities in agricultural yields, it is primordial to manage irrigation well. This paper describes the design and tests a new Internet of Things (IoT) based smart irrigation system which utilizes sensors to measure soil moisture, air temperature, humidity as well as an evapotranspiration (ET) algorithm. The system sends real-time sensor data to the Arduino Cloud via the LoRaWAN communication procedure. This permits monitor and control irrigation events far away. The multi-parameter control logic represents a key innovative idea. It begins irrigation once the soil moisture drops less than a calibrated level of 20% and ceases it when it achieves 70%. The irrigation duration is also altered based on atmospheric request (temperature and humidity) to overtake for ET losses. A three-day pilot trial on an olive farm in Monastir, Tunisia, demonstrated that the system marches from start to the end and could help save water. The ET-compensated system cut total irrigation time by 20% (from 20 min to 16 min) over two irrigation events contraries to a simulated single-sensor baseline with a fixed irrigation duration. The biggest savings (40%) were made during highest ET conditions at midday. Using PVSYST simulations, the photovoltaic (PV) array was sized to provide a total energy of 1763.5 kWh/m²/year and consumes 880 kWh/year for the pump operation for a 1.3- hectare farm, which made the system energy-independent. These initial results authorize the technical viability of the proposed methodology and underscore its ability to boost water-use efficiency in precision agriculture. Future research will focus on long-term experimental validation over several seasons and crop diversities to find out statistical relevance and generalizability.