Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Qwen3-Coder-480B-A35B-Instruct launches and it ‘might be the best coding model yet’

OpenAI’s New Exec Has a Grand Plan to Make AI for Everyone

White House plan signals “open-weight first” era—and enterprises need new guardrails

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Agriculture AI

In-Season Crop Nutrition Offers Flexibility and Profitability

By Advanced AI EditorJuly 23, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


As crops push into peak growth stages, the window for in-season nutrient applications is open. Taking a proactive, data-informed approach to nutrient decisions during the season can increase yield, reduce environmental risk and increase economic resilience.

“We often focus so much on what goes down pre-plant that we forget the crop’s biggest appetite hits mid-season,” said Steve Carlson, director of proprietary products for CHS. “It’s like giving your crop breakfast and expecting it to power through the day without lunch or dinner.”

Timing and Testing

Natalina Sents Bausch


Corn nutrient demands surge around V10, making the period leading up to and during rapid vegetative growth ideal for supplementing with in-season nutrients. For soybeans and wheat, reproductive stages mark the point of highest demand. The key is to be proactive rather than reactive, Carlson said.

“You don’t want to wait until you see yellow leaves or stunted growth,” Carlson said. “By the time visual symptoms appear, it may already be too late to correct.”

Pairing soil tests with multi-year, on-farm trial data can help growers make more informed nutrient decisions, said Stephanie Zelinko, an agronomist for AgroLiquid. She uses a “win rate” approach to quantify the likelihood of both yield response and economic return from specific in-season applications.

“A win rate tells you the chance that a given nutrient application will provide a yield bump and whether that yield pays for the fertilizer,” Zelinko explained. For example, AgroLiquid’s foliar soybean applications have a 90% yield win rate and about a 72% economic win rate under current market conditions.

“That means 7 out of 10 times, the yield gain not only pays for the fertilizer but leaves extra profit,” Zelinko said. Below 70%, Zelinko advises growers to reevaluate the economics of an in-season application factoring in soil tests, local prices, and crop conditions to make sure the application makes financial sense.

Micronutrient Impact

While nitrogen, phosphorus, and potassium dominate many fertility conversations, Carlson urged farmers not to overlook the other 15 essential plant nutrients.

“Zinc and boron are the two most deficient micronutrients in U.S. ag soils,” he said. “And they’re two of the most responsive, especially when applied in-season.”

Carlson pointed to copper’s role in small grains, supporting stem strength and disease resistance, and boron’s effect on early root development and later pollination success in soybeans and corn.

Zelinko added that even when a soil test shows adequate levels of key nutrients like potassium, in-season foliar applications can still enhance uptake and performance during reproductive stages. “Soybeans thrive on potassium, and they’ll respond to that foliar supplement even in well-fertilized fields,” she said.

Tools for Precision and Profit

 Zelinko and Carlson agree that today’s technology makes it easier than ever to document and analyze nutrient trial results. Yield monitors can isolate the effect of specific applications, and spreadsheet-based tools allow growers to plug in their local crop and fertilizer prices to calculate their own win rates.

 Tissue testing can also play a role, especially when used consistently over time and in conjunction with soil test data. “It’s like a snapshot of the plant’s health,” Zelinko says. “But you can’t rely on a single test. Use it as part of the bigger picture.”

Building a Flexible Plan

Input costs remain high, and with crop prices fluctuating, both Zelinko and Carlson advocate for flexible fertility plans that leave room for adjustment based on in-season crop conditions.

“Don’t commit every dollar upfront,” Zelinko advised. “If the weather holds and the crop looks strong, you can layer in nutrients later. But if it turns dry or you get hit with insect pressure, you’re not over-invested.”

When budgets are tight, Carlson recommended narrowing in on the nutrients with the highest potential return — zinc and boron for most crops — and ensuring macronutrients are supported by the right micros for full uptake. “If you’re cutting back on macros, your micros matter more,” he said.

Targeted Nutrition for Better Returns and Fewer Losses

Timing fertilizer applications to crop demand doesn’t just help your budget, it can help reduce runoff and nutrient loss, too.

“The longer nutrients sit in the soil before a crop uses them, the more risk there is for volatilization, leaching, or runoff,” Carlson said. “Applying closer to when the plant needs it reduces that risk and boosts efficiency.”

Zelinko  notes that applying nutrients using the 4R framework (right rate, right source, right time, and right place) can help improve efficiency and reduce environmental risk. “We’ve been focused on high-efficiency products for a long time,” she said. “And the more targeted your applications, the better your ROI and environmental impact.”

Active and Flexible Strategies

 Both agronomists agree that the biggest mistake farmers make with in-season fertility is assuming early applications are enough.

“There’s a lot happening in that plant after the V5, V6 growth stages, especially as it shifts into reproductive growth,” Carlson said. “Don’t miss the opportunity to feed it when it matters most.”

“Your soil test is your starting point,” Zelinko said. “But you’ve got to tie it to real world economics and your own farm’s data. In-season applications give you that flexibility to feed the crop, protect your investment, and ultimately maximize returns.”



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleTrump’s AI strategy trades guardrails for growth in race against China
Next Article YouTube introduces new AI video creation tools powered by Veo
Advanced AI Editor
  • Website

Related Posts

Considering a Solar or Wind Lease? This New Farmer-Led Group Can Help

July 23, 2025

A Look at the History and Safety Regulations Behind Carbon Pipelines

July 14, 2025

Digital Selection Tools to Optimize Seeds for Your Fields

July 11, 2025

Comments are closed.

Latest Posts

Winston Artory Merger Targets $15B Art Valuation Market

Denver Museum Discovers 67.5 Million-Year-Old Fossil Under Parking Lot

Taipei Dangdai Cancels 2026 Edition

Barnes Foundation Online Learning Platform Expands to Penn Museum

Latest Posts

Qwen3-Coder-480B-A35B-Instruct launches and it ‘might be the best coding model yet’

July 24, 2025

OpenAI’s New Exec Has a Grand Plan to Make AI for Everyone

July 24, 2025

White House plan signals “open-weight first” era—and enterprises need new guardrails

July 24, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Qwen3-Coder-480B-A35B-Instruct launches and it ‘might be the best coding model yet’
  • OpenAI’s New Exec Has a Grand Plan to Make AI for Everyone
  • White House plan signals “open-weight first” era—and enterprises need new guardrails
  • A new AI coding challenge just published its first results – and they aren’t pretty
  • Enhance generative AI solutions using Amazon Q index with Model Context Protocol – Part 1

Recent Comments

  1. 1win app download on Former Tesla AI czar Andrej Karpathy coins ‘vibe coding’: Here’s what it means
  2. 📃 ✉️ Pending Deposit: 1.8 BTC from new sender. Review? > https://graph.org/REDEEM-BTC-07-23?hs=60194a6753699dfb5804798d5843ffd0& 📃 on This Neural Network Optimizes Itself | Two Minute Papers #212
  3. 📉 📩 Pending Deposit - 1.0 BTC from unknown sender. Review? => https://graph.org/REDEEM-BTC-07-23?hs=16ed4f83e039fc01f975372e66ec05d7& 📉 on OpenAI seeks to make its upcoming ‘open’ AI model best-in-class
  4. 📊 📩 Pending Transfer: 1.8 BTC from unknown sender. Approve? >> https://graph.org/REDEEM-BTC-07-23?hs=8f64f5846f6d90e5a1ebb4bba272bbea& 📊 on Nvidia’s GB200 NVL72 Supercomputer Achieves 2.7× Faster Inference on DeepSeek V2
  5. 📅 ✉️ New Deposit: 1.8 BTC from new sender. Approve? > https://graph.org/REDEEM-BTC-07-23?hs=5719fe560af3b8c36c0a0976ea7a6f6b& 📅 on Meta, Booz Allen develop ‘Space Llama’ AI system for the International Space Station

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.