Drones for Monitoring Soil Moisture and Optimizing Irrigation Scheduling in Horticultural Farms

Ashaq, Mohd and Upadhyay, Lalit and Jena, Lopamudra and Kumar, Vimal and Jaiswal, Shatruhan and Das, Juman and Das, Reemashree and Dutta, Anirban and Pandey, Shivam Kumar and Singh, Bal Veer (2024) Drones for Monitoring Soil Moisture and Optimizing Irrigation Scheduling in Horticultural Farms. Journal of Scientific Research and Reports, 30 (11). pp. 1118-1135. ISSN 2320-0227

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Abstract

The efficient management of irrigation is crucial for the sustainability and productivity of horticultural farms. Traditional methods of monitoring soil moisture and scheduling irrigation can be labor-intensive and imprecise. The advent of unmanned aerial vehicles (UAVs), commonly known as drones, has opened up new possibilities for precision agriculture. Drones equipped with remote sensing technologies can provide high-resolution spatial and temporal data on soil moisture variability across a farm. This data can be used to optimize irrigation scheduling, leading to water savings, improved crop yields, and reduced environmental impact. This article reviews the current state of drone technology for soil moisture monitoring and irrigation management in horticulture. It discusses the principles of drone-based remote sensing, the types of sensors used, and the data processing and interpretation techniques involved. Case studies of successful applications of drones for irrigation optimization in various horticultural crops are presented. The article also addresses the challenges and limitations of drone-based irrigation management, including regulatory issues, data accuracy and resolution, and the need for specialized expertise. Future directions for research and development in this field are explored. With ongoing advancements in drone technology and data analytics, drones are poised to become an indispensable tool for precision irrigation management in horticulture.

Item Type: Article
Subjects: Pustaka Library > Multidisciplinary
Depositing User: Unnamed user with email support@pustakalibrary.com
Date Deposited: 04 Dec 2024 03:43
Last Modified: 04 Dec 2024 03:43
URI: http://archive.bionaturalists.in/id/eprint/2591

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