Agriculture Intelligence Systems
Nosant Technologies designs and implements operational intelligence systems for agriculture. These systems live inside production databases and workflows and actively guide decisions as work is executed across crops, livestock, water, inputs, finance, and markets.
The focus is control, prediction, and optimisation, not reporting.
Why These Systems Exist
Zimbabwean agriculture operates under tight constraints: rainfall uncertainty, input shortages, energy instability, contract obligations, and volatile markets. Losses occur primarily because decisions are taken late, inconsistently, or without enforced logic.
These systems exist to replace experience-driven management with system-guided execution, where intelligence operates continuously inside the business.
The Structural Problem in Agriculture
- Production data exists across fields, sheds, pumps, stores, and buyers but is not connected
- Feedback arrives after losses occur (harvest, disease outbreak, cash-flow failure)
- Inputs and water are allocated uniformly despite non-uniform conditions
- Market decisions are reactive and cash-driven
Nosant systems resolve this by embedding intelligence at the operational data layer, not as dashboards.
Modular Intelligence Design
Each system below controls a specific operational domain. They share a common data backbone and can operate independently or as a unified platform.
1. Crop Production Intelligence System (CPIS)
Controls crop production performance at field level throughout the season.
A field-level production control system that maintains an expected performance state for every planted field and continuously evaluates actual progress against that expectation.
- Maintains expected growth timelines per crop and variety
- Records all field operations and environmental conditions
- Continuously updates expected yield and harvest timing
- Flags fields that deviate from expected performance
- Whether intervention is justified
- Where to redirect labour and resources
- Harvest sequencing and logistics planning
- Reduced yield volatility
- Predictable production volumes
- Fewer end-of-season surprises
2. Precision Input Management System (PIMS)
Controls the economic efficiency of seed, fertiliser, and chemical application.
A zone-based input control system that treats each field as multiple productivity areas rather than a single uniform unit.
- Divides fields into productivity zones using soil and historical output
- Sets maximum input quantities per zone
- Records actual application per zone
- Compares input cost against realised output
- Input quantity per zone
- Removal of inputs from loss-making areas
- Adjustment of future application strategies
- Lower input expenditure
- Higher return per hectare
- Reduced wastage and leakage
3. Crop Disease & Pest Early Warning System (CDPEWS)
Prevents yield loss from disease and pest outbreaks.
A field-level risk detection system that monitors conditions associated with known crop diseases and pests.
- Tracks weather and crop stress indicators
- Identifies conditions linked to disease or pest emergence
- Assigns risk levels to specific fields and periods
- Whether spraying is required
- Which fields to prioritise
- Timing of intervention
- Reduced crop loss
- Lower chemical costs
- More targeted interventions
4. Smart Irrigation Control System (SICS)
Controls irrigation based on real crop demand and system capacity.
An irrigation decision system that links soil moisture, crop stage, water availability, and energy supply.
- Monitors soil moisture and crop water demand
- Controls irrigation timing and duration
- Prioritises fields when water or power is constrained
- When and where to irrigate
- Pump scheduling
- Water allocation under scarcity
- Reduced water and energy costs
- Improved drought resilience
- Longer irrigation infrastructure life
5. Livestock Intelligence & Monitoring System (LIMS)
Controls livestock health and productivity at individual-animal level.
An animal-level monitoring system that treats each animal as a tracked production unit.
- Records movement, feeding, weight, and health indicators
- Identifies abnormal behaviour or performance
- Supports grazing, breeding, and treatment planning
- Early treatment versus loss
- Feed and grazing adjustment
- Breeding and culling decisions
- Reduced mortality
- Improved productivity per animal
- Lower veterinary emergencies
6. Agricultural Supply Chain Intelligence System (ASCIS)
Links production output to market execution and logistics.
A market and logistics decision system that evaluates where, when, and how produce should be sold.
- Tracks available volumes, grades, and storage capacity
- Compares buyer prices against transport and handling costs
- Evaluates sell-now versus store decisions
- Market selection
- Transport allocation
- Timing of sales
- Higher realised prices
- Reduced post-harvest losses
- Improved cash-flow timing
7. Farm Financial & Performance Intelligence System (FFPIS)
Embeds financial discipline directly into farm operations.
A real-time financial control system that links operational activity to cost and margin.
- Tracks cost per hectare, crop, and animal
- Projects cash-flow based on current production state
- Links operational deviations to financial impact
- Input prioritisation
- Scale-up or contraction decisions
- Financing and repayment planning
- Improved capital efficiency
- Predictable financial outcomes
- Reduced end-of-season shocks
8. Contract Farming Compliance Intelligence System (CFCIS)
Controls compliance with contract farming obligations.
A contract execution tracking system for input-backed and off-take farming schemes.
- Tracks inputs received against contractual terms
- Monitors production progress toward delivery targets
- Flags deviation and recovery exposure
- Corrective action before default
- Renegotiation timing
- Recovery enforcement
- Reduced disputes
- Improved scheme sustainability
- Stronger financier confidence
9. Climate Risk & Season Resilience Intelligence System (CRSRIS)
Manages climate exposure as an operational risk.
A seasonal risk monitoring system that tracks climate stress indicators and links them to production impact.
- Tracks rainfall deviation and heat stress
- Quantifies impact on crops, livestock, and water
- Forces operational adjustments when thresholds are breached
- Crop switching or replanting
- Stocking density adjustment
- Emergency mitigation actions
- Reduced climate-driven losses
- More resilient seasons
10. Integrated Agriculture Intelligence Platform
Unifies all agriculture intelligence systems into one operational layer.
A shared intelligence backbone that synchronises production, water, livestock, finance, and market decisions.
- Shares live operational state across all systems
- Enforces cross-system constraints
- Maintains consistent decision logic
- Elimination of silos
- Consistent execution
- Agriculture managed as a controlled system, not guesswork
11. Nosant Integrated Intelligence System (IIS)
Unifies, governs, and enforces coherence across all agricultural operational intelligence systems.
A single integrated intelligence layer that binds production planning, input management, field operations, labour deployment, equipment usage, yield tracking, storage, sales, finance, and regulatory compliance into one enforced agricultural operating system.
- Integrates crop, livestock, input, labour, machinery, storage, market, financial, and compliance systems
- Enforces cross-system rules such as input availability before planting, labour allocation before field execution, and yield verification before sales or dispatch
- Prevents conflicting actions between farm management, field operations, finance, and buyers
- Maintains a single operational truth per field, herd, season, batch, and farm enterprise
- Governs end-to-end agricultural execution from land preparation to harvest, storage, and sale
- Farm-wide production and resource prioritisation
- Cross-operation intervention during yield, cost, or compliance deviations
- Executive, financier, and regulator-driven operational enforcement
- Elimination of fragmented farm decision-making
- Consistent enforcement of agronomic, financial, and compliance rules
- Full operational control over agricultural production and market execution
Farm Executive Management / Agricultural Operations Leadership