Farmers are an Important Part of Solving the Climate Crisis

Jan 11, 2021

By Pam Knox

Rising temperatures from increased greenhouse gases like carbon dioxide and methane are affecting many aspects of life, including sea level rise, rising costs of utilities, and production management for agriculture. Agriculture is often blamed for the increase in greenhouse gases, although in reality there are other factors that contribute just as much. But agriculture has not been provided with as many tools to help curb the production of greenhouse gases as other industries like power production, leaving them to be attacked for their practices.

In reality, farmers have a lot to contribute to the conversation about how to reduce greenhouse gases and slow the rise in temperatures, and they will be an essential part of the process to solve the climate crisis. This blog post from my colleague Dr. Jonathan Foley from 2019 describes a number of ways that farmers can help sequester carbon in the soil and trees as well as reduce emissions from livestock.

Source : uga.edu

Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.