AI Stand Count for Corn: Target Weak Zones and Prevent Yield Loss

Replanting corn is a critical early-season decision that can greatly influence final yields. Agronomic data show that stand loss levels of 20–30% or more often justify replanting, depending on crop conditions and planting costs

Farmers consider several factors when deciding to replant:

  • Current plant population vs target seeding rate
  • Uniformity and health of emerged plants
  • Cost of seed, labor, fuel, and machinery
  • Expected yield loss if poor stands are left unreplanted

Extension guides note that uneven emergence alone is not always a reason to replant. Significantly reduced populations trigger the replanting decision.

In a typical U.S. corn crop, early replanting decisions can affect 10–25% of the overall yield if large field portions fail to emerge properly. Accurate stand assessment helps avoid unnecessary costs while maintaining yield potential.

In this case, the assessment and replanting decision were performed by Midwest Air Drones, an agricultural drone services provider from Ohio (USA) with strong roots in family farming and agronomy. By combining advanced UAS mapping with Agremo Stand Count analysis, their team precisely detected weak emergence zones and defined targeted replanting areas — turning a traditionally subjective field walk into a fully data-driven operation.

Field & Project Overview

🌽Crop: Corn 

🌱Growing Stage: V2

🗺️Field area: 40.5 acres

📍Location: USA

🚁Drone: DJI Mavic 3T

🤖Analysis: Agremo Stand Count

The Challenge of Corn Replanting Decisions

During the early V2 growth stage, the team noticed uneven emergence across the field. However, relying on traditional scouting methods, driving tractors and planters across the entire field, and walking selected areas, could not provide:

  • Quantified plant population
  • Clear severity of stand loss
  • Precise boundaries of weak zones

At this scale, visual estimation alone could easily miss damaged areas or lead to unnecessary replanting. Based on experience, leaving these zones unreplanted would likely result in 10–25% yield loss across the farm.

The team needed an objective, full-field method to measure plant population and determine exactly where replanting was required and where it was not.
So, without digital stand analysis, the operation would have required covering every acre blindly, searching for poor emergence spots, while still lacking a reliable understanding of where replanting was truly needed and where it was not. This approach is time-consuming, fuel-intensive, and highly subjective, often resulting in unnecessary replanting of healthy areas and missed damaged zones.

Stand Count Agremo

How AI Stand Count Helps Detect Weak Zones

The team mapped the entire 40.5-acre corn field using a DJI Mavic 3T drone.  Hilly terrain required increasing the flight altitude to 100 ft AGL for proper coverage and image quality.

The collected raw imagery was uploaded to Agremo, where the images were stitched into an orthomosaic. After that, the AI Stand Count analysis was applied to automatically detect every emerged corn plant and calculate plant density across the entire field.

Within just a few hours, the team received:

  • Full-field plant detection (total number of plants and number of plants per ha)
  • Per-zone population density
  • Quantified stand loss vs planned seeding rate
  • Visual maps highlighting all weak emergence zones

This transformed the replanting decision from a manual estimation into a fully data-driven process.

Agremo Stand Count

 

Corn Stand Count Results: Plant Density, Stand Deficit & Missing Plants

🌽 Plants counted: 1,144,964

🎯 Planned seeding density: 35,000 plants/acre

📊 Average plant density: 28,242.8 plants/acre

⚠️ Stand deficit: 19% below target

❌ Missing plants: ~273,936 plants

 

Nearly one out of every five plants was missing, a scale of damage impossible to assess reliably from ground scouting alone.

Impact & Outcome of AI Stand Count for Corn: Targeted Replanting & Yield Protection

Using Agremo Stand Count:

  • Detect all weak and missing stand zones

  • Replant only where necessary

  • Avoid replanting healthy areas

  • Minimize seed, fuel, and labor waste

  • Prevent major yield losses

Without Agremo, the planter would have needed to cover every acre blindly, increasing costs and still risking missed weak zones.

Client Testimonial 

“We were able to see every single spot that needed replanted and how severe the damage really was. We will never try to replant without Agremo again.

-Kamden Crum, Co-owner – Midwest Air Drones

Try Agremo Analytics

Free - no credit card required

What our partners are saying

GET A DEMO

DJI Agriculture

Agremo's AI solution turns DJI's drone imagery into actionable insights, and its recipe maps make our AGRAS drone a truly intelligent and precise spraying tool." The integration of the Agremo platform between Agremo and the DJI drone is a turnkey solution for precision agriculture.

Ciprian Iorga

The biggest benefit for farmers who use drones and Agremo reports is that they increase their yields, reduce costs or improve their productivity. In the end, all these benefits are lead to extra profits.

Zdravko Hojka

Agremo Stand Count analysis shows how successful seeding was and how many plants farmers will be able to harvest. Withal, it can help to apply different sowing standards in different parts of the plot, in order to achieve the highest yields.