Drones for Monitoring Soil Moisture and Optimizing Irrigation Scheduling in Horticultural Farms
Mohd Ashaq
Department of Botany, Govt Degree College Thannamandi, District Rajouri, Jammu and Kashmir -185212, India.
Lalit Upadhyay *
SKUAST Jammu, India.
Lopamudra Jena
Faculty of Agriculture, Sri Sri University, Cuttack-754006, Odisha, India.
Vimal Kumar
School of Agricultural sciences, IIMT University, Meerut, India.
Shatruhan Jaiswal
Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Post Harvest Technology, Gangtok Sikkim, Central Agricultural University Imphal, India.
Juman Das
Department of Fruit Science, College of Horticulture and Forestry, Central Agricultural University, Pasighat, Arunachal Pradesh, India.
Reemashree Das
Department of Horticulture, Assam Agricultural University, India.
Anirban Dutta
Department of Agronomy, Assam Agricultural University, India.
Shivam Kumar Pandey
Rashtriya Raksha University, India.
Bal Veer Singh
Department of Agronomy, CSA University of Agriculture and Technology, Kanpur, U. P.-208002, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Drones, UAVs, remote sensing, soil moisture, irrigation scheduling, precision horticulture