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John Deere Announces its 2025 Startup Collaborators

MOLINE, Ill., - Deere & Company (NYSE: DE) announced the names of 6 companies chosen for its 2025 Startup Collaborator program. The John Deere Startup Collaborator program was launched in 2019 to enhance and deepen the company's interaction with startup companies whose technology could add value for ag and construction customers.

"The John Deere Startup Collaborator Program represents our ongoing dedication to innovation and customer-centric solutions," said Jahmy Hindman, Senior Vice President & Chief Technology Officer. "By collaborating with forward-thinking startups, we aim to explore new technologies that can bring significant value to our customers in agriculture and construction. We look forward to working closely with these startups to learn, grow, and drive the future of productive, sustainable, and efficient farming and construction practices."

The companies participating in the 2025 Startup Collaborator include:

  • Array Labs – A space technology company building the first constellation designed for frequent, high-quality 3D imaging of Earth's entire surface
     
  • Landscan – A digital twin company fusing proprietary soil and remote sensing signals to generate unique analytical insights for the optimization and management of land and its resources
     
  • LIDWAVE – A pioneering 4D LiDAR-on-a-chip developer, providing unprecedented sensing for advanced automation, mapping, and inspection applications
     
  • Presien – A physical AI company partnering with OEMs to deliver plug-and-play, on-machine solutions that transform worksite safety and productivity
     
  • ReSim – An embodied AI testing company that automates hardware, simulation and replay evaluations, unlocking safer, faster development for autonomy
     
  • Witricity – A trailblazer in wireless charging technology for commercial and passenger vehicles, eliminating the hassle of plug-in charging and setting the stage for future autonomy

"We're thrilled to welcome the 7th cohort of startups to our John Deere Startup Collaborator Program. This program is all about fostering innovation and collaboration. Each startup in this cohort brings unique technologies aimed at tackling real challenges in agriculture and construction. By working together and learning from one another, we will explore new technologies that can benefit our customers." - Colton Salyards, Principal Corporate Development, John Deere  

Source : Newswire.ca

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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.