Reducing Water Waste through Data-Driven Irrigation Practices

Autor/inn/en	Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John
Titel	Reducing Water Waste through Data-Driven Irrigation Practices
Quelle	In: Technology and Engineering Teacher, 79 (2020) 4, S.21-25 (5 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2158-0502
Schlagwörter	Sanitation; Water; Agriculture; High School Students; Aviation Technology; Measurement Equipment; Visualization; Data Collection; Data Interpretation; Design; Decision Making + Suchen Sie Ihr Suchwort? Betriebshygiene; Wasser; Landwirtschaft; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Flugtechnik; Messinstrument; Visualisation; Visualisierung; Data capture; Datensammlung; Data evaluation; Datenauswertung; Decision-making; Entscheidungsfindung
Abstract	Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields represents a key opportunity for innovation, improvement, and progress (Vasisht, et al., 2017). The authors present here their experience, and the accompanying materials developed, while working with high school students in a setting that intentionally combined "new" knowledge--derived from high-tech sensors and aerial imagery captured by a drone--with the longstanding practices and traditions of irrigation in agriculture. In this lesson, they teamed up with a local teacher and several students attending a rural high school to develop materials related to aerial imagery collected from an agricultural drone and an associated design challenge aimed at reducing water waste in irrigation practices. To introduce students to data and help them understand the imagery provided by drones in agricultural applications, the authors introduced them to the sensors involved, the image acquisition process, the data processing performed, and visualization techniques prior to them flying the drone. Although, like many of the existing drone software packages, the software utilized by the students in this scenario (FieldAgent) performed many data-processing and visualization steps automatically, they felt it was important to help students understand both the technology involved and the imaging pipeline prior to interpreting the data and utilizing their findings to inform their design decision making while attempting to devise solutions to reduce water waste in irrigation. They believe this emphasis on both data acquisition and application is important for influencing the students' designing and introduction to data-driven decision making. (ERIC).
Anmerkungen	International Technology and Engineering Educators Association. 1914 Association Drive Suite 201, Reston, VA 20191-1539. Tel: 703-860-2100; Fax: 703-860-0353; e-mail: iteea@iteea.org; Web site: https://www.iteea.org/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01