Sugarcane is one of the most input-intensive crops in global agriculture, requiring significant amounts of nitrogen, phosphorus, and potassium throughout its long growth cycle (12–18 months). Among all inputs, fertilizers are among the highest operational costs and directly impact both yield and sugar content.
In recent years, global fertilizer markets have become highly volatile. According to the World Bank Commodity Markets Outlook, fertilizer prices increased by more than 20% in 2025, driven by strong demand, supply chain disruptions, and export restrictions on key nutrients such as nitrogen and phosphate fertilizers. At the same time, geopolitical tensions and energy market instability have further increased production costs, particularly for nitrogen-based fertilizers, which are highly dependent on natural gas prices.
For large-scale crops like sugarcane, this creates a significant challenge: growers must balance rising fertilizer costs with the need to maintain or increase sugarcane yield, crop health, and sugar productivity across highly variable fields.
In this environment, precision agriculture solutions such as Agremo’s Variable Rate Fertilization (VRA) for sugarcane enable producers to optimize fertilizer application using AI-driven crop variability analysis, helping reduce input waste, improve nutrient efficiency, and maximize return on investment at the field level.
Traditional Sugarcane Crop Monitoring & Field Management
Traditionally, sugarcane crop health and nutrient deficiencies were monitored through manual field scouting, visual crop assessment, and uniform field treatments. Growers relied heavily on field experience to identify signs of stress, such as discoloration, uneven growth, or reduced plant vigor, often after symptoms had already become visible and yield potential had been affected. Studies show that manual field scouting typically captures only a fraction of total field variability, while observational assessments are strongly influenced by human perception, field accessibility, and scouting route selection.
Corrective measures, including fertilization and crop protection treatments, were typically applied uniformly across entire fields, without considering variability in soil conditions, plant health, or productivity zones. In large-scale sugarcane production systems, this frequently resulted in over-application in healthy areas and insufficient treatment in stressed zones, increasing operational costs and reducing input efficiency.
As sugarcane enters advanced vegetative growth stages, field accessibility also becomes a major operational challenge. Dense canopy structure and crop height limit the ability of ground machinery to enter the field without causing crop damage or soil compaction, making late-season monitoring and intervention significantly more difficult. In many cases, treatments were either applied preventively across the entire field or skipped altogether due to logistical constraints.
AI-Driven Variable Rate Fertilization with Agremo
How Kevin Optimized Sugarcane Fertilizer Application Using Agremo
Kevin used Agremo’s AI-powered precision agriculture workflow to optimize fertilizer application on a 24.09 ac mature sugarcane field using drone imagery and Variable Rate Application (VRA) technology.
📍 Field & Analysis Setup
- Field area: 24.09 ac
- Crop: Sugarcane
- Growth stage: Mature
- Analysis: AI Plant Vigor Analysis
- Tool: Fertilizer
- Map type: RGB imagery
🚁 Step 1. Fast & Efficient Field Mapping
The field was captured using a standard RGB drone camera. While Agremo also supports multispectral (MS) imagery, all core AI analyses, including Plant Vigor, can be performed accurately using RGB imagery alone, significantly reducing operational complexity and equipment costs.
- Flight duration: ~15 minutes
- Resolution: 2 cm/pixel
- High-resolution field coverage with minimal operational effort
☁️ Step 2. Upload & AI Analysis
After the flight, all raw drone images were uploaded into Agremo in just two clicks. Once the upload was completed, the user selected and requested the AI Plant Vigor Analysis directly from the platform. Each vigor zone was automatically identified and visualized directly on the map, enabling fast interpretation and targeted fertilizer planning.
🧠 Why AI Plant Vigor Instead of Traditional NDVI?
Many growers rely on NDVI maps for crop monitoring and fertilizer planning. However, Agremo’s AI Plant Vigor Analysis goes beyond standard vegetation indices by combining multiple visual and structural crop parameters that are not visible to the human eye.
In addition to identifying crop variability, the analysis provides precise area calculations for each management zone (cluster), enabling growers to quantify exactly how much of the field belongs to each vigor category and apply fertilizers accordingly.
📊 Zone Distribution
- Excellent Vigor → 2.20 ac (9%)
- Good Vigor → 16.62 ac (69%)
- Poor Vigor → 5.39 ac (22%)
- No Vegetation → 0.01 ac (0%)
This allows the platform to deliver:
- more precise crop variability detection
- improved stress identification
- better differentiation between healthy and underperforming zones
- accurate zone-based fertilizer planning
- higher-quality input for fertilizer prescription generation
🗺️ Step 3. Prescription Map Generation
Based on the AI Plant Vigor Analysis, Agremo automatically generated a Variable Rate Fertilizer Prescription Map, allowing the user to create site-specific fertilizer application zones across the field.
- Prescription map tile size: 3 × 3 m
- User-defined fertilizer doses per vigor zone
- Automatic calculation of total fertilizer amount required
- Estimated savings calculation based on variable rate application
- Optimized for site-specific nutrient management across heterogeneous sugarcane fields
🚁 Step 4. Direct Drone Export & Application
The prescription map was exported directly into the spraying drone software without any manual modification.
Agremo supports direct integration with: DJI, XAG, EAvision, TopXGun
Users simply select their drone model, and the prescription file is immediately ready for field application.
📊 Results — 64.2% Fertilizer Savings with Variable Rate Application
By using Agremo’s AI Plant Vigor Analysis and Variable Rate Fertilization workflow, Kevin optimized fertilizer application across his 24.09 ac sugarcane field and achieved a total fertilizer savings of 64.2% compared to traditional uniform application methods.
Instead of treating the entire field equally, the system divided the prescription map into three management zones based on crop vigor variability.
- Poor Vigor zones received the highest fertilizer dose to support stressed and underperforming plants
- Good Vigor zones received a moderate fertilizer dose for balanced nutrient optimization
- Excellent Vigor zones were not treated, since the crop already showed strong growth performance and additional fertilizer application would create unnecessary input costs
This zone-based approach enabled precise nutrient allocation only in areas where crops showed measurable response, significantly improving fertilizer efficiency and reducing operational waste.
💰 ROI Impact (Calculator-Based Outcome)
Using a standard U.S. sugarcane fertilizer program cost of ~$185 per acre, Kevin was able to quantify the direct economic impact of Variable Rate Application:
- 📉 Traditional fertilizer cost (24.09 ac): ~$4,452.65
- 💡 Savings from 64.2% optimization: ~$2,858.40
- 🌱 Optimized fertilizer spend: ~$1,594.25
This translates into a clear per-acre impact of:
- ~$119 saved per acre
- ~$66 optimized spend per acre after Agremo VRA
Field Feedback from Kevin — Sugarcane Fertilization Optimization with Agremo
“Before using Agremo, fertilizer decisions were mostly based on field-wide estimates and experience. With the AI Plant Vigor maps, we finally saw the real variability within the field and were able to apply fertilizer only where it actually makes a difference. The savings were immediate and the workflow was extremely simple to execute in the field.”
— Kevin, Sugarcane Field Manager
