Scholarlink

In modern agriculture, optimizing resource utilization and enhancing productivity are paramount. Leveraging advanced technologies, intelligent irrigation systems (IIS) offer a promising solution for achieving the goals while ensuring sustainability. This paper presents the design and implementation of a data-driven Intelligent Irrigation Scheduling (IIS) aimed at improving greenhouse productivity by efficiently managing water and sustainable energy resources. The proposed system combines three types of sensors: the BME280, the LMT86, and capacitive soil moisture sensors. These sensors create time-stamped datasets that help figure out the best way to use water based on current environmental conditions. By continuously monitoring soil moisture levels and the water stress, the system dynamically adjusts irrigation schedules to provide optimal hydration for crops while reducing water waste and minimizing energy consumption.

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

Data-Driven IoT-Based Irrigation System for Greenhouse Farming

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Radhika Bansal,
  • Amit Mishra,
  • Hari Shankar Singh,
  • Rajesh Khanna,
  • Karun Verma

摘要

In modern agriculture, optimizing resource utilization and enhancing productivity are paramount. Leveraging advanced technologies, intelligent irrigation systems (IIS) offer a promising solution for achieving the goals while ensuring sustainability. This paper presents the design and implementation of a data-driven Intelligent Irrigation Scheduling (IIS) aimed at improving greenhouse productivity by efficiently managing water and sustainable energy resources. The proposed system combines three types of sensors: the BME280, the LMT86, and capacitive soil moisture sensors. These sensors create time-stamped datasets that help figure out the best way to use water based on current environmental conditions. By continuously monitoring soil moisture levels and the water stress, the system dynamically adjusts irrigation schedules to provide optimal hydration for crops while reducing water waste and minimizing energy consumption.