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Boosting crop systems through improved soil health

Research aims to enhance soil productivity and reduce costs in high-intensity farming.

By Farms.com

The University of Florida is at the forefront of developing more efficient agricultural practices through a project funded by the USDA.

Sarah Strauss, an associate professor of soil, water, and ecosystem sciences, leads a team dedicated to improving soil health in high-intensity crop systems, pivotal in today’s agriculture.

Intensive farming systems, while productive, often depend heavily on water, nutrients, and chemical inputs, which can be economically and environmentally costly.

Strauss's research, fueled by a substantial $700,000 grant, is centered on reducing these costs by fostering a more resilient soil ecosystem.

The research specifically targets the production of tomatoes, a vital crop in Southwest Florida, but its implications extend throughout the Southeastern United States.

The goal is to enhance soil conditions such that it supports crop growth more naturally, minimizing the need for chemical interventions.

A key component of Strauss’s strategy involves the use of cover crops, like sunnhemp, which are planted during the non-growing season of cash crops. These cover crops are crucial for protecting and enriching the soil.

not only prevent soil erosion but also have the potential to naturally suppress nematodes and improve the soil microbial environment. This, in turn, could reduce the crop's dependency on synthetic fertilizers and pesticides.

By advancing these methods, the University of Florida’s research aims to provide growers with more control over their agricultural practices, leading to lower costs and increased sustainability.

This innovative approach to managing soil health could set new standards for productivity and sustainability in high-intensity farming environments.


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

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.