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Iteris, Inc. - Contributing Author

Iteris, Inc. - Contributing Author

Iteris, Inc. (Iteris) is the global leader in applied informatics for transportation and agriculture, turning big data into big breakthrough solutions to create better communities. We collect, aggregate and analyze data on traffic, roads, weather, water, soil and crops to generate actionable insights that lead to safer transportation and smarter farming. Municipalities and government agencies use our transportation solutions for safer and more efficient mobility. Crop science companies, farmers and agronomists around the world use our agriculture solutions for sustainable and more productive farming. Relevant and accurate weather and soil data and predictive analytics are among the most critical components to healthy crop growth, wherever crops are grown, anywhere in the world.


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Website: http://www.iteris.com

Company Category: Monitoring & Growing

Geographic Region: USA - North East

Company Sector: Software

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Partner Status: Marketing Partner


Products

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Articles

Artificial Intelligence And Machine Learning In Agriculture Today

Although they promise streamlined farming operations, higher yields and greater costs savings for growers, how much of AI and machine learning in agriculture today is more hype than reality?

Artificial Intelligence And Its Uses In Ag Irrigation

Do you have a problem that AI might be able to solve? If so, have you started collecting the data that might be needed? The sooner you get started, the sooner you might be able to see the benefits.

Rainfall Revisited: Accurate Observations And Beyond

Accurate observations are important and useful, but one must also get to the root of what the real problem is, understand all the sources of uncertainty, and understand that modeling techniques offer a consistent approach to filling in gaps

How Machine Learning Plus Weather Information Can Help Us Feed The World

Even if we had perfect weather data everywhere all the time, there are many more uncertainties in a lot of the weather-driven agronomic models that attempt to predict crop stage, disease pressure, and crop performance

A Look At Irrigation Management Practices In Nebraska

Running sprinklers on the right, impending downpours on the left – color me confused. Why would growers, who are much more knowledgeable about their crops, put down water when thunderstorms are rumbling on the horizon?

Some Like it Hot, Most Not

As we move from spring to summer, an interesting question arises: should those hoping for big corn yields this fall be cheering for a cooler- or warmer-than-normal summer?

Field Data Poised For Future Food Chain

The use of real-time data is beginning in agricultural sectors with high-value highly perishable crops such as fresh vegetables, berries and other fresh fruit. There is more communication between the field and the processor in those sectors

The Precipitation Problem In Agriculture

Fortunately, our ability to provide useful precipitation forecasts beyond the next few hours is not highly dependent on our ability to measure what has actually happened.

Why Virtual Sensors Could Save California’s At-Risk Almond Yields

A group grid of points (or virtual sensors) are created by an initial model estimate of the conditions at the surface (and above) and that virtual sensor is then nudged by the observations around it to the more accurate value.

Does Delayed Planting Reduce U.S. Corn Yields?

Though there exists a corridor across the northwestern Corn Belt in which there appears to be some truth to this belief, there are as many other corn growing areas where there is no discernible relationship, or even an inverse relationship

3 Aspects of Modern Farming That Need Data to Thrive

We must continue to improve the output and efficiency of our agriculture in the U.S. and across the globe. Utilizing data to generate timely recommendations for planting, irrigation, fertilization, spraying and harvest will allow us to provide citizens of the world with both higher quality and a greater quantity of crops to enjoy while also protecting the land

Artificial Intelligence in Agriculture: Understanding Crop Growth

There are many different types of potential applications of AI in agriculture -- ranging from machine control, to image analysis, to improving our understanding of where, when, and how a crop might respond toparticular environmental conditions.

Agriculture Impacts Weather: The Case For Connected Ecosystems

When viewing the Texas and Oklahoma Panhandles and southwest Kansas in Google Earth, you can see areas of green interspersed with predominantly brown tones. Zooming into any of these areas, you quickly discover that the majority of these green pixels are irrigated fields

Expected Harvest Moisture in Corn Seed Selection

With cash corn fetching a measly $2.85/bushel in our area early this winter, every percentage point of moisture that needs to be removed from the crop has a financial impact equivalent to a yield loss of about 1.75%.

Weather Forecasting: How Does It Work, And How Reliable Is It?

Hopefully, as confidence grows in our ability to forecast weather and soil conditions, much value will be extracted for more efficient operations, higher yields, and better environmental stewardship.

Seasonal Weather Outlooks: Are the Risks Worth the Reward?

Monthly and seasonal forecasts are large-scale in nature and don’t provide specific numbers for the various weather parameters. In other words, the science currently cannot provide accurate long-range forecasts of actual weather conditions for a given day specific to your location.

Precision Irrigation – Seeing The Big Picture

The inter-play between atmospheric processes, land-subsurface processes and agronomic processes must be considered to make irrigation decisions that promote the economical use of water and energy for the highest crop yield and quality.

3 Ways to Reduce Grain Losses at Harvest Time

While crop producers lay out their best plans for success early in the season before planting begins, inevitably some combination of crop pests, unpredictable weather, and even the neighbor’s livestock or wildlife in the area can wreak havoc on those plans -- resulting in an accumulation of setbacks at harvest.

White Papers

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Press Releases

Hummingbird Technologies Adds Iteris ClearAg to AI-powered Crop Analysis Platform

ClearAg Smart Content to Enhance Hummingbird's Remote-Sensing Crop Health Capability

Staphyt Agrosciences Adds Iteris ClearAg Content for Enhanced Crop Research

ClearAg Weather Data Now Available to Staphyt Field Researchers Across Europe

Iteris ClearAg to Power UK Agriculture & Horticulture Development Board's WeatherHub

ClearAg Smart Content Will Enhance WeatherHub with Hyperlocal Weather Data

AgroVIR Adds Iteris ClearAg Content for Improved Harvest Operations Decision Support

European FMIS Provider to Offer Comprehensive Decision Support, Including Optimization of Harvest Operations with ClearAg Content

Iteris Appoints Pierre-Andr Rebeyrat as Vice President, Product Management for Agriculture and Weather Analytics

Former John Deere, Trimble Executive Brings Deep Expertise in Global Precision Farming, Irrigation and Crop Care Markets, Tasked to Lead ClearAg and ClearPath Weather Products

NAU Country Insurance Company Expands Iteris ClearAg Offerings

Leading Crop Insurance Company Enhances Crop Management Platform, Field Insights, with the Addition of Iteris ClearAg Spray Advisor and Crop Growth Stage Models

Iteris ClearAg to Power AgSpace Contour Platform

ClearAg Smart Content and Visualization Components Will Integrate With AgSpace's Contour Platform to Enrich Agronomic Decision Support

Gylling Data Management and Iteris Collaborate to Provide ClearAg to Agriculture Researchers

-ClearAg weather and environmental content is now available by subscription to GDM clients through the ARM software -Major crop science companies can directly access ClearAg's historical and current weather information and soil data from around the world through the ARM software -Access to "smart content" will provide critical support to agricultural field research

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