Abstract: This review explores the crucial role of efficient irrigation systems in addressing water scarcity. It highlights the limitations of traditional canal networks and proposes piped irrigation networks as a superior alternative due to their enhanced water use efficiency. The passage then delves into various methodologies for optimal irrigation pipeline route planning and design, emphasizing the use of Geographic Information Systems (GIS) and least cost path analysis. The paper explores the application of least cost path analysis, leveraging Geographic Information Systems (GIS) technology. This method factors in diverse aspects like topography, soil properties, and spatial constraints, leading to the identification of the most economical route for pipeline installation. Furthermore, the potential of image classification using satellite imagery is discussed. By categorizing land cover features such as vegetation and buildings, this technique provides valuable insights for informed decision-making during pipeline route planning. Additionally, the paper investigates the potential of machine learning techniques like spatial clustering. This approach allows for the grouping of similar areas based on various factors, further aiding in the optimization of pipeline routes. By showcasing the cost-saving benefits of these advanced techniques compared to traditional methods, the study emphasizes their significance in achieving sustainable water management practices.

Keywords: Pipeline Distribution Network (PDN), Geographic Information Systems (GIS), Least Cost Path (LCP), Image Classification, Spatial Clustering, Genetic Algorithm.

Cite:
Rajesh Kumar V*, Sathiyanarayanan S, Hussain Babu D and Guganesh S, "Review of Advanced Techniques for Efficient Irrigation Pipeline Routing", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 1, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11121.

| DOI: 10.17148/IARJSET.2024.11121