Exploring Advanced Smart Sensing Technology for Enhanced Drip Irrigation Management in Greenhouses

Drip irrigation systems have become an integral part of modern greenhouse farming practices as they help irrigate plants effectively and also supply plants with water and nutrients in precise amounts. Nevertheless, these technologies have to be perfectly adjusted to efficiently utilize water and boost crop yield. This research addresses two issues: firstly, the capacity of the sensing technology innovations for greenhouse drip irrigation to be more efficient, and secondly, sustainability. The study looked for several types of sensors and materials that can be used in the construction of the system section that take into consideration the information from the intelligent sensors and the monitoring of environmental parameters. The methodology used in the study was a methodological review. This paper will discuss the literature dealing with different mechanisms, tools, and materials to control environmental factors that could affect the drip irrigation system in greenhouses. The literature review presented several types of sensors, including temperature sensors, soil moisture sensors, and humidity sensors, which are the key components for intelligent greenhouse drip irrigation systems operating correctly. Embedding these sensors and materials in a comprehensive system has exhibited a positive effect on water consumption reduction and nutrient uptake by plants. The results of the discussion stress the high sensitivity to the choice of materials and sensors which consequence can be the deployment of the system for a long time and its high performance. Looking at the results, it is accordingly determined after the fact that sensor type and sensor materials constitute an essential part that would aid in achieving the best results with smart greenhouses through drip irrigation systems. These technologies ensure precise environmental monitoring and resource management, offering a pathway to sustainable and high-yield agriculture. The findings collected from this literature review can greatly push forward the latest demands for smart farming in the future.