Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading

Author:

Pickett Richard A.12,Nowlin John W.1ORCID,Hashem Ahmed A.13ORCID,Reba Michele L.4ORCID,Massey Joseph H.4,Alsbrook Scott5ORCID

Affiliation:

1. College of Agriculture, Arkansas State University, Jonesboro, AR 72467, USA

2. P&P Consulting, Wynne, AR 72396, USA

3. Agricultural Engineering Department, College of Agriculture, Suez Canal University, Ismailia 41522, Egypt

4. Delta Water Management Research Unit, Agricultural Research Service, United States Department of Agriculture, Jonesboro, AR 72467, USA

5. Department of Environmental Health Sciences, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA

Abstract

Advances in remote sensing and small unmanned aircraft systems (sUAS) have been applied to various precision agriculture applications. However, there has been limited research on the accuracy of real-time kinematic (RTK) sUAS photogrammetric elevation surveys, especially in preparation for precision agriculture practices that require precise topographic surfaces, such as increasing irrigation system efficiency. These practices include, but are not limited to, precision land grading, placement of levees, multiple inlet rice irrigation, and computerized hole size selection for furrow irrigation. All such practices rely, in some way, on the characterization of surface topography. While agro-terrestrial (ground-based) surveying is the dominant method of agricultural surveying, aerial surveying is emerging and attracting potential early adopters. This is the first study of its kind to assess the accuracy, precision, time, and cost efficiency of RTK sUAS surveying in comparison to traditional agro-terrestrial techniques. Our findings suggest sUAS are superior to ground survey methods in terms of relative elevation and produce much more precise raster surfaces than ground-based methods. We also showed that this emergent technology reduces costs and the time it takes to generate agricultural elevation surveys.

Funder

P&P Consulting

U.S. Department of Agriculture—Agricultural Research Service: Delta Water Management Research Unit

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference51 articles.

1. Surface Irrigation in the Lower Mississippi River Basin: Trends and Innovations;Reba;Trans. ASABE,2020

2. Konikow, L. (2023, August 25). Groundwater Depletion in the United States (1900–2008), USGS Scientific Investigations Report 2013-5079, Available online: https://pubs.usgs.gov/sir/2013/5079/SIR2013-5079.pdf.

3. Forrest, B. (2022, July 15). Arkansas Groundwater Protection and Management Report 2020, Available online: https://www.agriculture.arkansas.gov/wp-content/uploads/2021/05/2020_Report_Text_Final-Draft.pdf.

4. Drivers and challenges of precision agriculture: A social media perspective;Ofori;Precis. Agric.,2021

5. Setting the record straight on precision agriculture adoption;Erickson;Agron. J.,2019

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Hill Farming Efficiency Using Unmanned Agricultural Vehicles: A Comprehensive Review;Transactions of the Indian National Academy of Engineering;2024-02-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3