Empowering Customers Seed Production

We are excited at the opportunity to collaborate with customers seed production team to enhance efficiency, sustainability, and productivity across multiple areas worldwide.

As a leading provider of API integration solutions, we can seamlessly deliver our services to integrate with customers existing digital platforms or create a fully customizable dashboard tailored to your specific operational needs.

Our core competencies and expertise aligns with customers mission to enrich lives and protect natural resources through innovative farming solutions. Below is an overview of the key services DigiFarm offers to support seed production.

Key Services and Benefits

1. Identifying Optimal Fields for Sustainable Production

• Leverage a customizable time period of up to 40 years of geospatial and agronomic data to pinpoint high-value fields with strong yield potential.

• Benchmark fields for sustainability, focusing on soil health, salinity levels, and erosion risks to ensure long-term productivity and resource conservation.

• Support regenerative agricultural practices by identifying "diamonds in the rough" – fields with untapped potential that can be transformed through improved practices.

2. Optimizing Pre-Production Planning

Automatic Field Boundary Delineation: Achieve pinpoint accuracy in mapping field boundaries using advanced deep learning models, enabling precise seeding rates and minimizing input wastage.

Crop Suitability Mapping: Match fields with ideal crops based on soil, climate, and topographical conditions. This ensures the highest efficiency and yield while reducing input requirements.

Multi-Year Zoning Analysis: Identify areas within fields that respond differently to inputs, enabling variable-rate seeding, fertilization, and irrigation to maximize productivity.

3. In-Season Crop Management

Monitor crop health and growth dynamics using high-resolution satellite imagery tailored for customers operational needs.

Receive automated, real-time alerts for pest outbreaks, nutrient deficiencies, and soil erosion risks.

Utilize yield prediction models during the season to allocate resources efficiently for harvest and post-harvest operations.

Datasets mainly used for the calculation is called Sentinel-2 Time Series.

Receive In-season Crop Identification to identify potential risk and contamination areas that should be isolated due to similar crop types in it’s buffer zone.

4. Post-Harvest Insights

• Access automated yield mapping to validate field performance, ensure accurate reporting, and identify underperforming zones for improvement.

• Utilize a performance scoring system that integrates yield, sustainability metrics, and operational data to prioritize interventions and drive continuous improvement.

• Develop data-driven subsidy allocation plans or credit scoring systems to reward high-performing fields and improve grower relationships.