Case Study

Virú, Peru: From passionfruit monoculture to regenerative polyculture.

TANIT partnered with Cooperativa Agraria El Sembrador to transition a conventional passionfruit monoculture into a verified, biodiverse polyculture system using Integrated Trophic Design.

Farm snapshot

Location

Virú District, La Libertad, Peru

Partner network

Cooperativa Agraria El Sembrador

Primary crop

Passionfruit

Initial classification

T4 — Transition Initiated

Polyculture system

Passionfruit · Pigeon Pea · Sunflowers · Sweet Potato (partial)

Baseline SOM

Baseline pollinators

5 visits / 100 flowers / hr

Initial challenge

A fragile monoculture in sandy soil.

Low soil organic matter

Sandy soil with only 0.2% SOM, low water retention, and minimal soil structure — typical of dune ecosystems where conventional practice has further degraded fertility.

Lack of biodiversity and resilience

Passionfruit monoculture provided no functional biodiversity, no pollinator habitat, and no natural pest regulation — leaving the system vulnerable and input-dependent.

High external input dependency

Soil fertility and pest management relied entirely on synthetic inputs, creating a cycle of cost and ecological risk with no pathway toward stability.

TANIT solution

Integrated Trophic Design: a three-species polyculture.

TANIT developed an AI-informed ITD plan with a TANIT-certified agronomist, designing a companion crop system to restore soil function, attract pollinators, and diversify the ecosystem without replacing the primary crop.

Passionfruit

Primary crop

Maintained as the high-value commercial crop and the focus of yield and traceability evidence.

Sunflowers

Pollinator attractor

Planted in dedicated rows to draw bee and native insect diversity across the field — critical for passionfruit yield.

Pigeon Pea

Soil fertility & system resilience

Intercropped between rows to fix nitrogen, prevent erosion, provide wind protection, and reduce pest and disease pressure through diversification.

AI-informed intercropping plan implemented under guidance of a TANIT-certified agronomist, with the partial inclusion of sweet potato as a ground cover layer within the intercropping system.

Verification process

How the T4 baseline was established.

Soil sampling

Full soil profile collected by TANIT-certified technician following standardized field protocol.

Visual biodiversity surveys

Insect and plant count surveys conducted across the farm to establish functional biodiversity baseline.

Farm practice interviews

Structured interviews documenting current input use, management practices, and farmer knowledge.

Laboratory analysis

Samples analyzed by TANIT's partner laboratory in Lima for quantitative soil chemistry data.

T-Tier classification

Results assessed against Restorative Spectrum baselines to determine initial T4 classification.

Partner laboratory: Soil, Plant, Water, and Fertilizer Analysis Laboratory — Universidad Nacional Agraria La Molina, Lima

Baseline data

T4 classification metrics.

T-Tier

T4

Soil Organic Matter

Soil texture

97% sand · 0% silt · 3% clay

Soil pH

CEC

2.3 meq/100g

Field Capacity

Permanent Wilting Point

Electrical Conductivity

1.15 dS/m

Pollinator visits

5 / 100 flowers / hr

Early results

Rapid positive indicators within the first harvest cycle.

20,000 kg/ha

Expected passionfruit yield

January – August

Expected harvest period

Pollinator activity increased

Observable increase in bee and native insect activity across the farm as sunflowers drew pollinators to the passionfruit crop.

Synthetic inputs eliminated

Within the first implementation cycle, the farmer eliminated synthetic inputs entirely — switching to bio-inputs including humic/fulvic acids and microalgae.

Ground cover exceeded 50%

Ground cover increased from below 30% to above 50%, improving soil moisture retention, erosion resistance, and weed suppression.

T3 progression projected

Based on successful multi-strata polyculture implementation and verified practice commitment, T3 classification is projected by end of the first full harvest year.

Yield and T3 projections are based on current implementation progress and are not guaranteed outcomes.

Regenerative intelligence

TANIT's Regenerative Intelligence Infrastructure.

Ecosystem Design

AI-assisted ecosystem planning structures climate-resilient transitions, crop diversification, and reduced synthetic input dependency.

Field Verification

Technician-supported field data, soil analysis, biodiversity observations, and farmer interviews validate baseline and transition progress.

Intelligence Layer

TANIT turns verified field outcomes into traceability, reporting, and buyer-ready evidence.

Verified field outcomes continuously improve future ecosystem designs.

Validated case study · Peru passion fruit pilot

Soil Cover

Pollinators

Irrigation Usage

Noticeable insect diversity improvements, reduced fungal rot, and complete synthetic input elimination were observed in the Peru pilot plot.

Cooperativa Agraria El Sembrador also reported increased yield because the TANIT-managed crop area suffered much less fungal growth after a period of hot weather and heavy rains.

Social impact

Community-led knowledge sharing.

Inspired by early results, Cooperativa Agraria El Sembrador established a local Círculo de Agricultores — a farming circle — to share ITD intercropping methods with neighboring producers. This cooperative-led initiative creates a scalable model for community-wide regenerative transition and directly improves the Capacity Building pillar score on the Restorative Spectrum.

Next steps

Scaling and deepening the program.

Ongoing quantitative monitoring across all six Restorative Spectrum pillars.

Yield and processed-product data collection post-harvest.

Scale through the associated cooperative: 35 members, 60 ha of passionfruit.

Expand ITD coverage from 6,000 m² to 15,000 m², with full 15 ha goal by 2026/2027.

Introduce sweet potato as a dense cover crop to reduce erosion, evaporation, and weed growth.

Connect harvested produce to processing partners for powder and oil production.

Get Started

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