Ali T. Mohammed

Dr. Ali T. Mohammed is an Assistant Professor and Extension Specialist in the School of Plant Sciences at the University of Arizona, based at the Yuma Agricultural Center. His work focuses on advancing sustainable organic agricultural practices in arid desert regions with statewide responsibility for Extension and research programs.

• Ph.D. in Biological Engineering, University of Nebraska-Lincoln
• M.S. in Mechanized Systems Management, University of Nebraska-Lincoln
• B.S. in Agricultural Mechanization, University of Mosul, Iraq

His research interests include organic vs. conventional cropping systems, coupled irrigation and nutrient management, soil amendments, and sensor technologies for precision agriculture. He emphasizes improving water and nutrient efficiency in arid environments through innovative monitoring tools such as wireless sensor networks, AI-driven imaging, and energy balance systems.

The recent scholarly articles demonstrate a strong focus on maize response to irrigation and nitrogen under various methods (center pivot, subsurface drip, furrow), with recurring themes in evapotranspiration modeling, water productivity, nitrogen use efficiency, and sustainable irrigation practices. His work bridges agronomic science with engineering solutions for resource-limited environments.

Dr. Mohammed has received no explicitly mentioned scientific awards in the provided text.

He teaches ASM 404 – Irrigation Principles and Management at the University of Arizona’s Yuma campus, providing students with hands-on experience in irrigation scheduling, system design, and technology-driven conservation. While no formal advisees are listed, his Extension role implies active engagement with agricultural professionals and producers. His research has been supported through institutional affiliations, particularly with the University of Arizona and University of Nebraska-Lincoln programs.

His work integrates advanced field technologies including wireless sensor networks, CropCAM imaging, Eddy Covariance, and Bowen Ratio Energy Balance Systems to monitor greenhouse gas fluxes and optimize water-nutrient dynamics.