Evaluation of multispectral unmanned aerial systems for irrigation management

Chávez, José L.; Zhang, Huihui; Capurro, M. C.; Masih, Ashish; Altenhofen, Jon

doi:10.1117/12.2305076

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…This approach would allow producers to adapt to past, existing, and forecast conditions to better manage their resources. Some irrigation scheduling tools include: soil water monitoring devices (Rudnick et al 2015aSingh et al 2018), canopy temperature sensors (Gonz alez-Dugo et al 2006;Taghvaeian et al 2012;Meron et al 2013), ET c calculators (Bartlett et al 2015), and remote sensing of ET c via satellite and/or UAV technology (Gowda et al 2008;Ch avez et al 2018). However, continued research is required to evaluate and identify appropriate irrigation scheduling tools for various soil, climate, and crop types.…”

Section: Discussionmentioning

confidence: 99%

Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review

Rudnick

Irmak

West

et al. 2019

J American Water Resour Assoc

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Irrigated agriculture is a major economic contributor of the High Plains Region and it primarily relies on the High Plains Aquifer as a source of water. Over time, areas of the High Plains Aquifer have experienced drawdowns limiting its ability to supply sufficient water to sustain fully irrigated crop production. This among other reasons, including variable climatic factors and differences in state water policy, has resulted in some areas adopting and practicing deficit irrigation management. Considerable research has been conducted across the High Plains Aquifer region to identify locally appropriate deficit irrigation strategies. This review summarizes and discusses research conducted in Nebraska, Colorado, Kansas, and Texas, as well as highlights areas for future research. Editor's note: This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.

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Section: Discussionmentioning

confidence: 99%

Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review

Rudnick

Irmak

West

et al. 2019

J American Water Resour Assoc

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A Decade of Unmanned Aerial Systems in Irrigated Agriculture in the Western U.S.

Chávez¹,

Torres‐Rua²,

Woldt³

et al. 2020

Applied Engineering in Agriculture

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Highlights Unmanned aerial systems (UAS) are able to provide data for precision irrigation management. Improvements are needed regarding UAS platforms, sensors, processing software, and regulations. Integration of multi-scale imagery into scientific irrigation scheduling tools are needed for technology adoption. Abstract . Several research institutes, laboratories, academic programs, and service companies around the United States have been developing programs to utilize small unmanned aerial systems (sUAS) as an instrument to improve the efficiency of in-field water and agronomical management. This article describes a decade of efforts on research and development efforts focused on UAS technologies and methodologies developed for irrigation management, including the evolution of aircraft and sensors in contrast to data from satellites. Federal Aviation Administration (FAA) regulations for UAS operation in agriculture have been synthesized along with proposed modifications to enhance UAS contributions to irrigated agriculture. Although it is feasible to use sUAS technology to produce maps of actual crop coefficients, actual crop evapotranspiration, and soil water deficits, for irrigation management, the technology and regulations need to evolve further to facilitate a successful wide adoption and application. Improvements and standards are needed in terms of cameras’ spectral (bands) ranges, radiometric resolutions and associated calibrations, fuel/power technology for longer missions, better imagery processing software, and easier FAA approval of higher altitudes flight missions among other issues. Furthermore, the sUAS technology would play a larger role in irrigated agriculture when integrating multi-scale data (sUAS, ground-based or proximal, satellite) and soil water sensors is addressed, including the need for advances on processing large amounts of data from multiple and different sources, and integration into scientific irrigation scheduling (SIS) systems for convenience of decision making. Desirable technological innovations, and features of the next generation of UAS platforms, sensors, software, and methods for irrigated agriculture, are discussed. Keywords: Agricultural water management, Irrigation prescription mapping, Irrigation scheduling, Precision irrigation, Remote sensing, Sensors, Spatial crop evaOotranspiration, Unmanned aerial systems.

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Evaluation of multispectral unmanned aerial systems for irrigation management

Cited by 2 publications

References 6 publications

Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review

Deficit Irrigation Management of Maize in the High Plains Aquifer Region: A Review

A Decade of Unmanned Aerial Systems in Irrigated Agriculture in the Western U.S.

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