Projects initiated in 2019

Satellite and UAS Imagery Use to
Apply Timely Irrigation Strategies

José Chávez, Colorado State University; Daran Rudnick, University of Nebraska Lincoln; Juan Enciso, Texas A&M University; Florence Cassel, Fresno State University

Partner: Lindsay Corporation

Abstract: Unmanned Aerial Systems (UASs) and satellites have been recognized as excellent platforms to provide near real-time feedback of temporal and spatial conditions found in agricultural fields throughout the growing season…read more

Multi-Environment Vertical Agriculture Technologies:
irrigation and monitoring solutions with machine learning 

Joshua Craver, Colorado State University

Industry Partners: Vertical Irrigation LLC 

Abstract: Vertical indoor farming is capturing a larger market share of food production, yet problems in this nascent field remain…read more

Next Generation Soil Moisture Technology for Improving Irrigation Management in Turf & Landscape

Cathie Lavis, Dale Bremer, Jack Fry and Jared Hoyle, Kansas State University;  Benjamin Wherley and Ambika Chandra, Texas A&M AgriLife Research;  Jay Ham, Tony Koski and Yaling Qian, Colorado State University

Industry Partner: The Toro Company

Abstract: Landscape irrigation strategies usually rely on calendar or evapotranspiration (ET) schedules that completely ignore soil moisture…read more

Expanding the Parallel 41 Flux Network to Support Real-time Evapotranspiration Estimates from Remote Sensing

Christopher Neale, Daugherty Water for Food Global Institute at the University of Nebraska

Industry Partner: LICOR

Abstract: This project will expand the Parallel 41 network of eddy covariance flux being implemented in the Central Plains of the US…read more

AI Model for Estimating Crop Water Demand: An Artificial Intelligence (AI) Model to Improve Agricultural Water Use Efficiency Using Field, Plant, and Weather Data

Fayzul Pasha, Ph.D., P.E., California State University Fresno

Industry Partners: WiseConn, AgH2O, Dynamax, Jain Irrigation, and Irrometer

Abstract: Artificial intelligence (AI) will be used to develop a model for estimating crop water demand…read more

Development of a Low Pressure and Low Flow Water and Energy Efficient Media Filtration System

Kaomine S. Vang, Center for Irrigation Technology-Fresno State

Industry partner: Perigo LLC

Abstract: Filters for sand media filtration are typically designed to operate at pressures too high for drip irrigation…read more

Next Generation Technology for Monitoring Edge-of-Field (EoF) Water Quality in Agriculture

Emmanuel Deleon, Erik Wardle, Jay Ham, Dylan Casey, and Christina Welch

Abstract: Irrigated agriculture has the potential to be a contributor to non-point source water quality issues…read more

Abstract: We describe the implementation of a cost-effective ecosystem-monitoring network and subsequently use the observations to inform well-known evapotranspiration equations to test if a model can replicate processes that generate the data…read more