What is the budget and commercial profile for the project “Precision Agriculture GeoAI Model for Nitrogen Application”?

Taiyo normalizes the budget of “Precision Agriculture GeoAI Model for Nitrogen Application” to USD 550000.

Where can I verify the source and access all details for “Precision Agriculture GeoAI Model for Nitrogen Application”?

This Taiyo project page references EIN News along with the original URL (https://www.einnews.com/amp/pr_news/914392059/transforming-global-food-systems-new-geospatial-innovations-aim-to-combat-hunger-and-support-agricultural-stability). Taiyo standardizes official data into a consistent, searchable project profile.

Precision Agriculture GeoAI Model for Nitrogen Application

Q: What is the latest status of the project “Precision Agriculture GeoAI Model for Nitrogen Application”?

The status recorded for “Precision Agriculture GeoAI Model for Nitrogen Application” is under development.

Sector: Water Supply and Storage • Location: Missouri, Iowa, United States

Source: EIN News

Project

Under Development

Led by the University of Missouri in partnership with MU Extension, this project develops a 'water first' GeoAI model to improve nitrogen application decisions by mapping plant-available soil water at sub-field scales using satellite imagery and machine learning. The model is initially developed for rainfed arable farms in the US Midwest, specifically Missouri and Iowa, and is designed to be adapt

Status: Prospective
Sector: Water Supply and Storage, Fertilizers, Telecommunications, Education, Raw Materials
Location: Missouri, Iowa, United States of America
Updated: 22 Jul 2026
Source: EIN News

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Project Information

4 Q

The project “Precision Agriculture GeoAI Model for Nitrogen Application” is an infrastructure initiative in the Water Supply and Storage sector, located in Missouri, Iowa, United States. Taiyo aggregates data on it from EIN News.

Participants

Not available for this record.

Status

Original status	under development
Taiyo status	Prospective
Taiyo last update	2026-07-22

Contact

Not available for this record.

Description

Description	Led by the University of Missouri in partnership with MU Extension, this project develops a 'water first' GeoAI model to improve nitrogen application decisions by mapping plant-available soil water at sub-field scales using satellite imagery and machine learning. The model is initially developed for rainfed arable farms in the US Midwest, specifically Missouri and Iowa, and is designed to be adaptable globally for similar agricultural systems and soils.
Original sector	Agriculture
Budget

Location

Country	United States of America (USA)
State	Missouri, Iowa

Source

Source	EIN News
URL

More Details

Record type	Project
Sector	Water Supply and Storage, Fertilizers, Telecommunications, Education, Raw Materials
Article published date	2026-05-30

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