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

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.

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Publication Details

Journal
Journal of Scientific Research and Reports
Published
2024-11-28
DOI
https://doi.org/10.9734/jsrr/2024/v30i112639
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

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

Anirban Dutta, Lalit Upadhyay, Shivam Kumar Pandey, Bal Veer Singh et al.
Journal of Scientific Research and Reports
Smart Agriculture and AI
article

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

Anirban Dutta, Lalit Upadhyay, Shivam Kumar Pandey, Bal Veer Singh, Vimal Kumar, Shatruhan Jaiswal, Reemashree Das, Juman Das, Mohd Ashaq, Lopamudra Jena
article en

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.

Journal of Scientific Research and ReportsVol. 30(11)
Rashtriya Raksha University (IN), Assam Agricultural University (IN), Central Agricultural University (IN)
Zero hunger
Openalex Percentile: Top 88%
Smart Agriculture and AI
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