top of page
Pistachio orchard in California.

Yield Estimation & Modeling

Land IQ develops yield estimations by leveraging its foundational agricultural mapping of field scale crop type, age, and condition, coupled with crop specific yield models and the ability to adjust for environmental and water availability. The team also uses remote sensing analytics and trend analyses to develop yield forecasts and estimate yield loss based upon multiple environmental factors.

Yield Estimation & Modeling Deliverables

Yield Estimation & Modeling Features

Interactive web applications

Technical reports

Yield loss

Yield forecast scenarios

Crop specific yield estimates

Tabular data

Yield Estimation & Modeling Intelligence in Action

Since 2008, Land IQ has developed and implemented a unique remote sensing methodology specifically for the purpose of measuring yield loss in rice resulting from cold water conditions. This specialized  approach analyzes nearly 110,000 acres of potential rice production each year for four participating irrigation districts (Districts).

 

The purpose of the project is to provide an accurate estimation of cold water affected yield loss by field such that the compensation provided by the Department of Water Resources to the Districts is equitable, accurate, and economical. 

Remote sensing image of yield loss in rice.
Explore more crop intelligence solutions from Land IQ.
Alfalfa irrigated by center pivot irrigation.

Turning Questions into Actionable Data

Start your project with Land IQ. Whether you need mapping solutions, water management data, vegetation or agricultural insights, Land IQ is ready to provide specialized scientific intelligence tailored to your needs.

Project Type
bottom of page