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Digital and Precision Agriculture Lab, University of MarylandPrecision Agriculture Technology Conference on Feb 26, 2026 at the Crowne Plaza, Annapolis.Digital and Precision Agriculture Lab, University of MarylandPrecision Agriculture Technology Conference on Feb 26, 2026 at the Crowne Plaza, Annapolis.
Back to Research Projects
Soil and Water for Irrigation Management in Maryland
AI & ML

Soil and Water for Irrigation Management in Maryland

Comprehensive database of soil hydraulic properties for Maryland to support precision irrigation and water-use efficiency.

Creating a comprehensive database of soil hydraulic properties specific to Maryland soils to support precision irrigation management practices and improve water-use efficiency. This dataset feeds into ML and AI-driven irrigation decision models.

Sub-projects

Develop the database of soil hydraulic properties for precision irrigation management in Maryland

Develop the database of soil hydraulic properties for precision irrigation management in Maryland

Dr. Cara Peterson

Field sampling, lab characterization, and compilation of a spatially referenced soil hydraulic properties database for Maryland.

Develop the irrigation management guide for Maryland

Develop the irrigation management guide for Maryland

Dr. Cara Peterson

Development of the irrigation management guide for Maryland.

Developing the net irrigation requirements for row crops in changing weather extremes for 2100

Developing the net irrigation requirements for row crops in changing weather extremes for 2100

Dr. Iolanda Borzì

Developing the net irrigation requirements for row crops in changing weather extremes for 2100.

Irrigation impact on soybean yield across Maryland using Remote Sensing

Irrigation impact on soybean yield across Maryland using Remote Sensing

Ananth Sriram

Irrigation impact on soybean yield across Maryland using remote sensing.

Images

Irrigation impact on soybean yield across Maryland using Remote Sensing 1
Irrigation impact on soybean yield across Maryland using Remote Sensing 2
Rainwater Harvesting for Specialty Crops in Mid Atlantic

Rainwater Harvesting for Specialty Crops in Mid Atlantic

John Augustus Samura

Rainwater harvesting for specialty crops in the Mid Atlantic.

Outcomes

  • Publicly accessible database of soil hydraulic properties for Maryland.
  • Improved parameterization for precision irrigation and hydrologic models.
  • Foundation for AI/ML-driven irrigation decision support in the region.