Turning agricultural data into decisions

Agricultural organizations have more data than ever. Yet some of their most important operational questions are still difficult to answer.

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Why did production fall short, and which fields, conditions, and management decisions actually drove the loss?

The problem is usually not a lack of data. Field records, production history, weather, satellite observations, agronomic information, and operational data often sit in different systems, contain gaps or inconsistencies, and were never designed to work together.

Digital Harvest builds the digital intelligence foundation that turns this information into timely, trusted answers.

Infrastructure first

Digital Harvest began more than a decade ago as an agricultural data science company. We learned that before models or AI can be trusted, incomplete and inconsistent records must be resolved, data from different systems connected, and information organized around the individual field.

AgronomyPlot XII · Variety A
ProductionBlock_012 · Yield history
Weather & satelliteGrid 04 · Image gaps
FinanceCC-012 · Input costs
LogisticsRoute 3 · Harvest loads
ComplianceParcel 12 · Audit record
Individual fieldField 12

We build that foundation first, then help organizations:

  • Understand what is driving production performance
  • Identify risks early enough to act
  • Estimate production before harvest
  • Compare management decisions before committing resources
  • Allocate resources and sequence operations across large production areas

AI gives users direct access to this intelligence through plain-language questions.

Making those answers trustworthy means building in your own context:

  • Data
  • Models
  • Operating knowledge
  • Terminology
  • Business rules

Digital Harvest brings

  • The tools
  • Years of experience with crop production data

You bring

  • Agronomic expertise
  • Operating knowledge
  • Priorities

Together, we build intelligence that reflects how the operation actually works.

Current focus: sugarcane and rice

We bring deep crop-specific and operational experience in sugarcane through work with enterprises in the United States, Vietnam, the Philippines, Costa Rica, Ecuador, and Mexico.

Sugarcane is where we developed our infrastructure-first approach. We are now applying it to rice through a commercial implementation with a major Southeast Asian rice enterprise.

SugarcaneRice

Deliver, teach, transfer

Digital Harvest builds toward customer self-sufficiency.

  1. Deliver

    We deliver the capability.

  2. Teach

    We teach your team to operate and extend it.

  3. Transfer

    We transfer the knowledge and technologies needed for you to sustain it.

You control the foundation without long-term dependence on Digital Harvest. Internal teams, Digital Harvest, or other technology providers can build on it rather than creating another isolated system.

Digital Harvest remains available as a partner for new models, integrations, and specialized capabilities.