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Intelligent Decisions for Agricultural Production

We anticipate yield, crop conditions, and productive behavior to recommend concrete actions on each field and improve economic outcomes.

Validate impact with your own data in a matter of weeks, without changing your operation.

How we validate impact in your operation

We use historical data from your campaigns and fields to build models that replicate the actual behavior of your production. This allows us to simulate past management decisions and measure how much yield, input use, or productive stability could have been improved.

Result: a concrete business case before any implementation.

Where it applies

Designed for real agricultural operations in Argentina and the region.

🌾 Extensive agriculture

Decision optimization for soybean, corn, wheat, and other crops β€” by field and campaign.

πŸ—ΊοΈ Field-level management

Specific decisions based on soil conditions, climate, and historical yield data for each field.

πŸ§ͺ Input management

Fertilization, crop protection, and irrigation optimized according to the expected crop response.

πŸ„ Livestock production

Optimization of feeding, growth, and productive efficiency in beef and dairy operations.

Decisions that can be anticipated

Concrete applications on real fields, crops, and productive units.

🌾
B01 Β· CROPS

Field Yield Prediction

Decisions before the campaign

Each field responds differently based on soil, climate, and management history. The system anticipates expected yield and allows adjusting decisions before planting or during the campaign.

  • Better planting decisions
  • Realistic production estimates
  • Reduced economic uncertainty
OPERATIONAL DECISION
Field + conditions β†’ expected yield β†’ management decision
🌦️
B02 Β· CLIMATE

Climate Impact on Production

Risk anticipation

Climate is one of the main sources of production variability. The system evaluates how weather conditions affect each field and recommends management adjustments to reduce losses.

  • Better preparation for weather events
  • Reduced losses from adverse climate
  • Greater production stability across campaigns
OPERATIONAL DECISION
Expected climate β†’ crop impact β†’ recommended action per field
πŸ§ͺ
B03 Β· INPUTS

Input Optimization

Cost vs. expected yield

More inputs do not always mean higher yield. The system recommends optimal fertilization and protection levels based on the expected response of each field, maximizing return per hectare.

  • Reduced unnecessary costs
  • Better cost-benefit ratio per field
  • Efficient resource use and lower environmental impact
OPERATIONAL DECISION
Field + conditions β†’ expected response β†’ optimal input level
πŸ„
B04 Β· LIVESTOCK

Livestock Production Optimization

Productive efficiency

Livestock production depends on multiple variables including feeding, climate, and health management. The system anticipates productive outcomes and recommends adjustments to improve conversion efficiency and reduce costs.

  • Higher feeding efficiency
  • Better conversion and weight gain
  • Reduced productive losses and waste
OPERATIONAL DECISION
Current conditions β†’ expected production β†’ recommended adjustment
🚜
B05 Β· PLANNING

Campaign Planning

Anticipatory decisions Β· Scenario evaluation

Campaign decisions impact the entire productive cycle. The system evaluates possible scenarios combining climate, prices, and field conditions, helping define the best strategy before the season begins.

  • Better planting and crop planning
  • Evaluation of productive and economic scenarios
  • Reduced uncertainty in key decisions
OPERATIONAL DECISION
Campaign scenarios β†’ expected impact β†’ optimal strategy

Pilot Program (4–6 weeks)

A structured, low-risk way to demonstrate real impact using your own data.

01
Analysis
  • Data from previous campaigns
  • Field and production information
  • Definition of priority objectives
02
Modeling
  • Climate, soil, and yield relationships
  • Identification of key variables per field
  • Input response models
03
Simulation
  • Evaluation of past productive decisions
  • Comparison of alternative scenarios
  • Detection of improvement opportunities
04
Results
  • Estimated impact on yield and costs
  • Concrete recommendations per field
  • Implementation plan

How it integrates

Designed to work with information already available in your operation.

πŸ“‚ Existing data

Historical campaign records, climate data, soil analyses, and production information already available.

πŸ”’ Non-invasive

No changes required to current operations. Works as an analysis and recommendation layer.

🎯 Clear recommendations

Concrete actions for each field or productive unit. The producer always retains decision control.

πŸ“ˆ Scalable

Can expand to the entire operation once impact has been validated in the first fields.

What we need to get started

Minimum requirements to begin a pilot validation.

πŸ—„οΈ Historical data

Information from previous campaigns: yields, applied inputs, and basic climate records.

πŸ‘€ Field contact

Someone on your team who knows the fields and can validate the operational recommendations.

🎯 Clear objective

Define one priority: yield, input optimization, campaign planning, or livestock efficiency.

β–Ό   Technical detail by production area   β–Ό

AI Solutions by Production Area

πŸ›

Crop Protection

Detect and anticipate biotic threats to intervene at the right moment, with the right product and dose β€” reducing costs and environmental impact.

  • Early pest detection (images, traps, drone)
  • Crop disease identification
  • Smart Spraying β€” site-specific application
  • Biotic pressure prediction
  • Resistant weed prediction
  • Up to 90% reduction in agrochemical volume
  • Intervention at peak efficacy window
  • Lower environmental footprint
🌱

Crop Monitoring

Know the real status of your crop at every stage of the production cycle to make timely, data-driven management decisions.

  • Water stress monitoring
  • Nutritional status monitoring
  • Phenological stage tracking
  • Temporal crop evolution analysis
  • Automated agronomic alerts
  • Fewer unnecessary field visits
  • Fertilization and irrigation based on real need
  • Problem detection weeks before visible symptoms
πŸ—ΊοΈ

Field Management & Zoning

Understand the productive variability of your land to make zone-specific decisions and maximize yield with minimum inputs.

  • Productive field zoning
  • Yield estimation and prediction
  • Soil analysis with NIR spectroscopy
  • Digital Twin of the field
  • Carbon farming and carbon credits
  • Yield increase through differentiated management
  • Reduced traditional soil analysis costs
  • New revenue from carbon markets
🌦️

Climate & Risk Management

Anticipate adverse weather events, quantify their real impact, and enable rapid, objective insurance activation.

  • Field-scale frost prediction
  • Frost and hail damage detection
  • Parametric agricultural micro-insurance
  • Early warning to protect crops
  • Agile, objective insurance activation
  • Precise loss quantification
🍎

Smart Horticulture

Maximize the quality and quantity of fruit produced by anticipating disease, optimizing harvest timing, and ensuring quality standards for export markets.

  • Automated fruit quality control
  • Optimal harvest maturity detection
  • In-tree fruit counting
  • Higher percentage of export-grade fruit
  • Reduced losses from mistimed harvest
  • Compliance with international quality standards
πŸ„

Precision Livestock Farming

Optimize herd productivity and welfare through continuous monitoring, individual identification, and data-driven decision making.

  • Pasture monitoring and stocking rate
  • Animal welfare and health monitoring
  • Estrus and fertility prediction
  • Automatic body condition scoring
  • Livestock biometric identification
  • Improved pregnancy rates
  • Reduced mortality from early disease detection
  • Tamper-proof individual traceability
πŸ“‹

Traceability & Documentation

Generate auditable, reliable, and automatic records of all field interventions and product movements to comply with export requirements, certifications, and national regulations.

  • Application and field work traceability
  • Certification document management (GlobalG.A.P., USDA, Organic, SENASA)
  • Farm-to-market product traceability
  • Access to and retention of demanding export markets
  • Automatic and continuous regulatory compliance
  • Verifiable product differentiation
πŸ€–

Field Intelligence Assistants

Put the power of AI in the hands of field technicians and farmers β€” through simple interfaces accessible from a smartphone, no technical background required.

  • Natural language assistant for agronomists and farmers
  • Voice assistant for field use
  • Democratized access to specialized agronomic knowledge
  • Fewer errors from uninformed decisions
  • Automatic labor logging without manual entry

Evaluate the impact on your production

In a few weeks we can show you, using your own data, how much yield improvement and cost reduction is possible on your fields.

Request Pilot Evaluation β†’
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