Industry
Agriculture & Land Management
We build and integrate agricultural software across livestock, breeding, and land management — connecting herd records, RFID/EID tags, precision-ag platforms, and equipment APIs — and we are actively developing a drone-based precision spraying system.
Agriculture has quietly become one of the most data-rich industries on earth. A modern operation generates a flood of information — GPS-guided machinery laying down as-applied and as-harvested maps, soil-moisture and weather sensors, satellite and drone imagery, and individually identified animals reporting weight, health, and movement. The problem is almost never a shortage of data; it is that the data lives in a dozen disconnected platforms that were never designed to talk to each other.
That is where we work. We build and integrate software across the three pillars of a modern operation — livestock and breeding, land and crops, and the equipment and sensors in between — and we specialize in the connectivity that ties them together: the equipment standards, platform APIs, RFID/EID tag streams, and imagery pipelines that turn scattered records into one operational picture you can actually run a business on.
And we build, not just integrate. We are presently developing a drone-based agricultural spraying system that brings precision, prescription-driven application to the field — detailed further down this page.
Ecosystem
Platforms & systems we work with
The environment we build for and integrate against, grouped by where it sits in the stack.
Farm & Land Management Platforms
The platforms at the center of connected, precision agriculture.
John Deere Operations Center
John Deere's cloud platform is the center of gravity for connected farming — aggregating field boundaries, as-applied and as-harvested data, and live machine telematics from JDLink-equipped equipment. Its Operations Center developer API exposes that data to third parties, and we build connectors against it to pull machine, agronomic, and field-operation data into custom dashboards and downstream systems.
Climate FieldView (Bayer)
FieldView ingests planting, application, and harvest data through the FieldView Drive and turns it into field-level maps and analytics. Its partner API lets approved developers exchange field and operation data, and we integrate FieldView data into broader farm-management and agronomy workflows.
Trimble Agriculture
Trimble's precision-ag stack covers GNSS guidance, variable-rate control, and ISOBUS implement data, with telematics that move field and machine data to the cloud. We work with Trimble Ag data — including ISOXML/ISOBUS task files — to connect equipment to the office.
Farm ERP — Conservis & Granular
On the business side, farm-ERP platforms like Conservis and Corteva's Granular tie agronomic activity to budgets, inventory, and profitability. We integrate operational data with these systems so the field and the books finally agree.
Livestock & Breeding Management
Herd, health, and breeding records at the level of the individual animal.
CattleMax
A widely used herd-management platform for beef and seedstock operations — individual animal records, breeding and calving history, weights, and EID tag mapping — with an API for integrations. We connect it to scales, EID readers, and reporting.
DairyComp 305 (VAS)
DairyComp 305 from Valley Ag Software is the dominant dairy herd-management system, tracking health, reproduction, and production at the cow level. We integrate its herd, breeding, and health events with parlor and sensor systems and into analytics.
AgriWebb
Livestock and grazing-management software for extensive operations — paddock, mob, and grazing records plus compliance — with an open API we build against to sync field and office.
Herdwatch
Herd-management software focused on compliance, medicine, and breeding record-keeping for cattle and sheep, syncing in-field entries back to the office in real time.
RFID / EID Tagging & Animal Monitoring
Item-level identity and sensing for every animal in the herd.
Allflex / SenseHub (Merck Animal Health)
Allflex EID (RFID) ear tags paired with the SenseHub monitoring platform combine animal identification with activity, rumination, and health sensing. We build the software that reads tags, reconciles the herd, and turns sensor alerts into action.
Datamars
Datamars provides RFID livestock identification and tag-reading hardware used worldwide. We integrate its readers into traceability and herd-management workflows.
EID Readers, Traceability & Breeding
We build the connective software around livestock RFID: stick, panel, and fixed antenna readers feeding herd reconciliation, movement and traceability reporting, and breeding management — every mating, pregnancy check, and calving keyed to the individual animal's electronic ID, so a tag scan instantly surfaces an animal's full breeding and health history.
APIs, Standards & Connectivity
The integration layer that makes the rest of it one system.
ISOBUS / ISOXML & ADAPT
Equipment speaks ISOBUS, task data moves as ISOXML, and AgGateway's ADAPT framework translates between proprietary formats. We use these standards to move data between tractors, implements, and software without vendor lock-in.
Platform & Developer APIs
We build connectors against the major developer APIs — John Deere Operations Center, Climate FieldView, Trimble — so data flows automatically instead of through manual CSV exports and re-keying.
Telematics & IoT Sensors
We ingest machine telemetry, soil-moisture and weather stations, irrigation and water controllers, and tank and bin level sensors into a single real-time operational picture.
Satellite & Drone Imagery
We pull NDVI and multispectral imagery from satellite and drone sources and turn it into the prescription maps that drive variable-rate application in the field.
Company and product names above belong to their respective owners and are referenced to describe the systems we integrate with and build for. 66 Parallel is an independent software studio and is not affiliated with or endorsed by these vendors.
In Development
Drone-Based Agricultural Spraying System
We are presently building an autonomous drone-based spraying system that brings precision, targeted application to crops and pasture — putting product exactly where it is needed, and nowhere it is not.
Conventional spraying treats whole fields uniformly. That wastes chemical and money on ground that does not need it, and it struggles on terrain a ground rig cannot safely reach. Our system replaces blanket coverage with imagery-driven prescription maps and variable-rate spray control, treating at the zone or plant level — cutting input costs, reducing environmental load, and reaching slopes, wet ground, and irregular fields that are otherwise hard to cover.
Autonomy is the core of it: terrain-aware route and swath planning, obstacle avoidance, and repeatable missions that fly the same prescription consistently, flight after flight. On-board and pre-flight multispectral imaging detects crop stress, weed pressure, and pest hotspots so the system treats problems, not acreage.
And because every operation is logged — what was applied, at what rate, exactly where, and when — the system produces the as-applied records growers need for compliance and traceability, feeding straight back into the farm-management platforms we already integrate with. It is precision agriculture closing the loop: see the field, write the prescription, apply it, and prove it.
Autonomous Flight & Planning
Terrain-aware route and swath planning, obstacle avoidance, and repeatable autonomous missions.
Prescription-Driven Spraying
Variable-rate application from NDVI / multispectral prescription maps — spot and zone treatment, not blanket coverage.
Precision Spray Control
Per-section nozzle control synced to ground speed and position for accurate dose and minimal drift.
As-Applied Logging
Complete coverage and as-applied maps — product, rate, location, and time — for compliance and analysis.
Imagery & Scouting
On-board and pre-flight multispectral imaging to find stress, weeds, and pest pressure before treating.
Platform Integration
Application data flows into Operations Center, FieldView, and the farm record automatically.
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