نوع مقاله : مقاله مروری
نویسندگان
1 دانشگاه بوعلی سینا- همدان
2 دانشجوی دکتری تخصصی مهندسی آب، گروه مدیریت و مهندسی آب دانشگاه تربیت مدرس
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The decrease in access to water resources has faced serious risks for the future of the agricultural sector. Improving irrigation planning by improving the productivity and efficiency of water consumption, or in other words, the same product for less water consumption can effectively compensate for the effects of water scarcity in irrigated agriculture. One of the most appropriate methods for improving irrigation management and planning is the use of moisture measurement sensors. However, when the land surface is large, the use of sensors requires a very significant investment cost. Considering the management of the country's agricultural lands on the one hand and the economic conditions of farmers on the other hand, it is not easy to use smart irrigation methods based on soil moisture sensors, which generally have a significant cost. In this research, IrriSAT, Manna, and IrriWatch systems, which are three successful examples of decision-making support systems in the irrigation sector, using remote sensing technologies that do not require farm-level sensors to provide their services, are introduced. And their theoretical supports and capabilities have been analyzed. The information that should be specified by the user—how to calculate evapotranspiration, irrigation recommendations, the cost of providing services, and how to interact with the user—differs among these systems. This research attempts to introduce the aforementioned features of smart irrigation systems to experts in the field.
کلیدواژهها [English]