Real-world data for agriculture

Produce traceability.
Made transparent with blockchain.

Combine BOM IoT sensors, digital farm logs, and the LATOI.com platform to manage growing-area data and support traceability with QR codes and blockchain technology.

On-farm data Manage it all on one platform
BOM IoT device measuring soil indicators in the field and displaying results on a phone
Measure in the field · View on your deviceMore data for your technical team to assess
From soil to dataCapture growing-area conditions to support assessment and crop-care planning.
Technology expertise
and digital agriculture
BOM SoftwareLATOI AustraliaCABIHAGL AgriTân Lâm Nguyên Farm
BOM IoT sensor kit, probe, and carrying case
BOM IoT sensor device

A closer look at soil conditions.

The sensor records soil indicators across your growing area. This gives technical teams more information to inspect field conditions, compare locations, and consider crop-care measures.

°CSoil temperature
H₂OMoisture
pHpH level
ECElectrical conductivity
NPKN · P · K nutrients
TDSSalinity · TDS

Measured indicators and connectivity depend on the selected device configuration. Readings are for reference and should be assessed alongside field conditions and professional expertise.

See how to manage your data
Start with the right data

Support every step of your workflow.

From soil surveys to crop-care planning, information is organized to make it easier for teams to review, compare, and discuss.

01 / INSPECT

Make informed soil assessments

Use moisture, pH, and nutrient data to identify areas that may need closer inspection.

02 / SURVEY

Convenient field surveys

Probes, transmitters, and a carrying case support inspections at multiple locations across a growing area.

03 / PLAN

Plan water and inputs

Soil data can inform decisions about irrigation timing, nutrient needs, and crop-care plans.

04 / COMPARE

Track changes over time

Saving observations by location and date makes it easier to compare surveys.

Example workflow Measure in the field View indicators Assess field conditions Adjust crop care
Farm management platform

Your growing-area data, all in one place.

LATOI.com digitizes field-block information, farm logs, sensor readings, and data used for traceability.

Structured monitoringReview production information and recorded history to support day-to-day management.
Illustration of the LATOI.com interface showing field blocks, farm logs, and a GlobalG.A.P. checklist
01 / FIELD BLOCKS

Know your growing areas

Track block IDs, crops, status, and expected harvest dates.

02 / FARM LOGS

Review farm activities

Record planting, fertilizing, spraying, harvesting, and related information.

03 / SENSORS

Compare data

View indicators and historical data; connectivity depends on the configuration.

04 / RECORDS

Checklist support

Identify information to add when preparing production records.

GreenDoctor AI

More insight for technical teams.

GreenDoctor AI supports discussions about farming practices, fertilizers, and pests. Add the crop and growth stage to provide more context for your question.

  • Explore information related to crops and crop care.
  • Use suggestions to guide inspections and professional discussions.
  • Combine AI information with measurements and field observations.

AI recommendations are for reference only and do not replace professional assessment or field inspections.

Illustration of soil indicators and GreenDoctor AI analysis
Blockchain traceability technology

Transparent produce traceability from farm logs to QR codes.

LATOI.com organizes growing-area records, production logs, and related data by lot. QR codes help share information, while blockchain supports verification records for comparing recorded data.

Traceability QR labels

Link products to information and production processes disclosed by the business.

Blockchain technology

Keep verification records to help compare the history of recorded traceability data.

Example traceability workflow Record farm logs→Review data→Blockchain→Scan QR code

Blockchain can help verify recorded data; businesses remain responsible for the accuracy of the information they enter.

Illustration of soil sensor indicators monitored on the platform
Connect production data with structured traceability information.
Traceability questions

Frequently asked questions about blockchain and QR codes.

How does blockchain support produce traceability?

Blockchain can keep verification records for captured data, helping parties compare its history. The accuracy of original information still depends on the producer’s recording and control processes.

How can buyers look up product information?

A QR code can link to traceability records shared by the business, such as growing-lot details and production logs. Available information depends on the deployment configuration.

Can the solution include BOM IoT sensor data?

LATOI.com supports production and sensor data management based on the selected configuration. Discuss your devices, connectivity, and current workflows with us to explore a suitable approach.

Ask us about traceability
For growing operations

Solutions start with real-world needs.

Discuss your crops, operation size, and current processes to choose suitable device configurations and an implementation approach.

01

Agricultural cooperatives and businesses

Manage growing-area information and organize farm logs.

02

Growing-area managers

Compare information by field block, location, and date.

03

Agronomy teams

Get more data for surveys, assessments, and crop-care planning.

04

Organizations needing traceability information

Organize production data to make sharing and retrieval easier.

As described in the company profileExperience in technology and agricultural projects

CABIHung Yen Department of Science and TechnologyHAGL AgriTân Lâm Nguyên FarmAfrican aquaculture
Projects and events

From specialist workshops to field deployments.

A selection of projects, activities, and events featured in the BOM Software and LATOI company profile.

Speaker presenting the AI GreenDoctor model at a workshop in Hung Yen
Provincial project · Hung Yen

AI GreenDoctor model workshop

Image from the project profile

Workshop on IoT and AI in agriculture in Bac Lieu, April 2025
Workshop · 2025

IoT & AI in agriculture

Bac Lieu · 22 Apr 2025

Project team at a banana-growing site
Field activity

Technology in the field

Project image from the company profile

Weather map in the LATOI interface featured in the HAGL Agri project
Project · HAGL Agri

Monitor growing-area data

Weather-map interface in the project profile

Survey of solar-powered monitoring equipment at a hillside growing site
Project · Tan Lam Nguyen Farm

Equipment at a hillside farm

Deployment image from the project profile

BOM Software team at Techfest Southeast 2020
Event · 2020

Techfest Southeast

Event image from the company profile

Start a conversation

A solution designed for your growing area.

Share your crops, operation size, and management needs so BOM can recommend a suitable configuration.