Vendor list · AI for agriculture & agtech
AI for agriculture, scored on the published rubric.
Cohort inclusion criteria
- Crop & field intelligence: satellite / drone / IoT remote sensing, crop health and yield prediction, pest / disease / weed detection, AI agronomy.
- Farm management: crop and field planning, operations and input recording, compliance, farm accounting and financials.
- Livestock monitoring: animal tracking, health and behavior monitoring, grazing and pasture management, smart tags.
- Sustainability & traceability: carbon / MRV, regenerative ag, natural capital and soil health, supply-chain traceability.
- In-field IoT: deployed sensors and gateways for crop, water, infrastructure, and asset monitoring.
This vendor set is deliberately broad: a livestock-tag vendor does not do crop imagery, and a satellite-analytics vendor ships no field sensors. Each vendor is scored on its actual coverage of every dimension - a dimension a vendor's product category structurally does not address scores zero, not a penalty for missing evidence.
Rubric (7 dimensions)
- Remote-sensing + crop/field intelligence (20%) - multi-source remote sensing with validated ML for crop health, yield, and pest/disease/weed detection, plus AI agronomy.
- Farm management + record-keeping (15%) - crop/field planning, operations and input recording, compliance, and farm financials.
- Livestock + animal monitoring (10%) - animal tracking, health/behavior monitoring, grazing management, and smart tags.
- Ease of data integration + accuracy (25%) - connectors across farm equipment, sensors, weather, satellite, accounting, and ag-retail, with normalized data and documented APIs. The heaviest-weighted dimension.
- Sustainability, carbon + traceability (10%) - quantified carbon / MRV, natural capital and soil health, and supply-chain traceability.
- In-field IoT + remote monitoring (10%) - deployed sensing hardware for real-time field, water, infrastructure, or livestock monitoring with alerting.
- Cost economics + time-to-value (10%) - pricing transparency, documented ROI / payback, and onboarding speed.
Platforms in scope
Each platform below is scored against the rubric above. The score is the weighted total across the seven dimensions, after integration, scale, and pricing-transparency penalties.
01 Farmers Business Network Farmer network + agtech platform (inputs, data, financing). Cross-industry 55 /100
Top strength Broadest coverage in the cohort: field intelligence + seed/network benchmarking, web/mobile record-keeping and reporting, 60+ precision-monitor formats with MyJohnDeere/CNH sync, and quantified MRV via the Gradable JV, on a free-membership model.
Top gap No livestock-animal monitoring or deployed IoT (structural). Core business is a farm-input marketplace + ag-financing/fintech, with the agtech software as a member layer (an internal cohort-fit signal).
Best for Row-crop farmers wanting a free data + benchmarking + record-keeping layer alongside input purchasing, crop marketing, and financing.
02 AgriWebb Livestock management SaaS: tracking, grazing, compliance. Cross-industry 53 /100
Top strength Livestock monitoring (4/4, the cohort's reference) plus a strong farm-management/record-keeping system (3/4): individual/mob tracking, health and performance records, grazing management, compliance/audit reports, and an integration marketplace; published per-head pricing.
Top gap No own crop remote-sensing (0/4) and no deployed IoT hardware (0/4 - IoT arrives via third-party marketplace partners). Sustainability is a record-store, not an own quantification engine.
Best for Livestock farmers and ranchers needing animal tracking, grazing management, and compliance records across web and mobile.
03 Agworld Collaborative farm-management platform (grower + agronomist). Cross-industry 49 /100
Top strength Farm management (4/4, the cohort's reference): full collaborative FMS connecting growers, agronomists, and consultants to plan, execute, and record crop production with financials, plus a robust API and named connectors (John Deere, accounting, ag-retail) (3/4 integration).
Top gap No livestock (handled via a separate integration) and no deployed IoT hardware (ingests third-party feeds). Own crop remote-sensing is field mapping/yield analysis, not vendor ML. Pricing quote-only (soft penalty).
Best for Growers, agronomists, and crop consultants who want a shared farm-management record to plan, execute, and analyze crop production collaboratively.
04 Arable In-field IoT sensors + AI crop intelligence (Mark device). Cross-industry 49 /100
Top strength In-field IoT (4/4) and crop intelligence (3/4): the Mark device captures weather, plant, soil, and irrigation data with real-time alerts, feeding ML crop models (spectral indices, ET, GDD, heat stress) validated across a 30+ research-institution network; public API plus...
Top gap No farm-management or livestock scope (structural). Sustainability is water-stewardship only, not soil-carbon MRV. Pricing quote-only (soft penalty).
Best for Growers and agribusinesses needing in-field sensor-driven crop and irrigation intelligence with real-time microclimate data.
05 Trinity AgTech Sandy: soil health, carbon, biodiversity + farm finance. Cross-industry 43 /100
Top strength Sustainability & natural capital (the cohort's raw=3 reference): the Sandy platform quantifies soil carbon (ISO 14064), biodiversity, water quality, provenance certificates, and natural-capital trading in one system, with whole-farm financial optimization; published tiered...
Top gap No own remote-sensing imagery (farmer-data + on-farm models, not satellite/drone ML), no livestock-animal monitoring, and no deployed IoT hardware (software-only). Named-connector breadth is thin.
Best for Farms and estates that want to measure and monetize soil carbon, biodiversity, and natural capital alongside farm financial performance.
06 CIBO Technologies AI ag-sustainability + carbon MRV (SALUS / regenerative). Cross-industry 40 /100
Top strength Sustainability & carbon (4/4, the cohort's reference): Verra-certified SALUS ecosystem-simulation AI for soil-carbon, GHG, and Scope 3 quantification plus carbon credits, with satellite-based crop/land intelligence (3/4), for enterprises.
Top gap No livestock, no deployed IoT (satellite/model only), and no grower farm-management system (program-workflow only). Named-connector/API integration evidence is thin. (CIBO is becoming part of Terion.)
Best for Enterprises and ag-supply-chain players running regenerative-ag, Scope 3, and carbon-credit programs needing quantified MRV.
07 Proagrica Ag supply-chain data connectivity (TELUS Agriculture). Cross-industry 36 /100
Top strength Data integration (3/4): connects agronomic and business data across the agriculture supply chain at scale (27,000+ trading connections, 8,000+ customers), with agronomic workflows and Farmplan farm-software heritage; part of TELUS Agriculture.
Top gap Thin public surface (most product pages did not render). No livestock-animal or deployed-IoT scope (structural); sustainability and crop-ML intelligence are thinly evidenced. Quote-only enterprise pricing (carve-out).
Best for Agribusinesses and ag-retailers needing a neutral data-connectivity layer across agronomic and supply-chain systems.
08 Traction Ag Cloud-native farm accounting + operations (real-time financials). Cross-industry 36 /100
Top strength Farm management & financials (the cohort's reference): deep farm accounting and record-keeping (inventory, production cost, field/entity-level profitability, Schedule F / 1099, multi-entity, accrual) with named connectors to John Deere, Climate FieldView, and financial systems.
Top gap Not a crop-sensing, livestock, IoT, or sustainability tool (all structural absence): it ingests third-party field data for financial analysis, ships no hardware. Pricing quote-only (soft penalty).
Best for Row-crop farm operations and ag-retailers that want farm accounting and field-level profitability tied to actual financials.
09 Ceres Tag Direct-to-satellite GPS smart ear tags for livestock. Cross-industry 33 /100
Top strength Livestock monitoring (4/4) and in-field IoT (4/4): solar, direct-to-satellite smart ear tags deliver continuous individual-animal location, movement, and behavioral (grazing/resting/activity) intelligence with health-anomaly alerts, no towers or battery replacements.
Top gap Single-purpose livestock hardware: no crop intelligence, farm-management, or sustainability quantification (traceability/ESG framing only). Integration is thin (one named partner); pricing is opaque (soft penalty).
Best for Extensive-grazing livestock producers who need continuous, infrastructure-free animal tracking and behavioral health monitoring.
10 Taranis AI leaf-level crop intelligence from drone imagery. Cross-industry 33 /100
Top strength Crop & field intelligence (4/4, the cohort's gold standard): drone-captured submillimeter imagery + deep-learning computer vision on 500M+ data points for leaf-level pest, disease, and weed detection, with a generative-AI agronomy assistant for agronomists and ag retailers.
Top gap Narrow: no livestock, no deployed IoT sensors (drone overflight, not fixed sensors), and thin open-integration / farm-management evidence. Pricing quote-only (soft penalty).
Best for Agronomists and ag retailers needing leaf-level AI crop scouting (pest/disease/weed) across large acreage.
11 Farmbot IoT remote monitoring for farm water + infrastructure (AU). Cross-industry 16 /100
Top strength In-field IoT (4/4): satellite/solar-connected sensors for water tanks, dams, pumps, diesel, and rainfall with threshold/anomaly alerts and remote pump actuation, purpose-built for remote Australian farms (8,000-10,000 farm references).
Top gap Very narrow: no crop intelligence, farm-management, livestock-animal, or sustainability scope (it monitors water/fuel infrastructure, not crops or animals). Integration is device-to-app only; pricing quote-only (soft penalty).
Best for Australian and remote-property farmers who need reliable off-grid monitoring of water, fuel, and infrastructure assets with anomaly alerts.
Missing a platform we should evaluate? Submit it here. We add platforms that meet the inclusion criteria above and score them on the published rubric. Vendors that submit are not given preferential treatment - methodology is published in plain sight.