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ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #418055
Research Project: Dryland and Irrigated Crop Management Under Limited Water Availability and Drought

Location: Soil and Water Management Research

Title: Water management and AI

Author
item Evett, Steven - Steve
item LAZA, HAYDEE - Texas Tech University

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 8/29/2024
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Aquifer declines due to over pumping and climate change (lack of recharge) are reducing irrigation water availability across the nation and in many parts of the world. Meanwhile, increasing temperatures are driving larger crop water use just to maintain yield levels. Agricultural water management must become more effective and provide greater crop water productivity (yield per unit of water used) if food needs are to be met with an increasing population in the face of this water crisis. Artificial Intelligence (AI) tools have been used in many industrial processes for some time, and now are being applied to agricultural water management. The discussion will involve AI tools applied to determining crop water stress levels, predicting future crop canopy temperature spatial and temporal variations, and determining standard evapotranspiration values from less than ideal weather data.