Agriculture &
AgTech
Farm technology built for real fields: soil and crop monitoring, farm management apps, produce traceability and yield forecasting that work in Thai, on a phone, even where the signal is weak.
Soil Moisture
38% · Optimal range
Field 12 · 4.2 ha
Farms, cooperatives and agribusinesses collect a lot of data, but it usually sits in notebooks, LINE chats, sensor apps and spreadsheets that never meet. We build IoT monitoring platforms, farm management systems, traceability tools and AI yield-prediction models that bring that data together and turn it into decisions such as when to irrigate, what to plant and which lot to ship. Our systems are designed for rural conditions: offline-first mobile apps, low-power sensor networks, and screens that field staff can read in sunlight and in Thai. We work with your agronomists and farm managers from the start, because the system only helps if it matches how the farm actually runs.
Challenges
Key Challenges
The problems teams in this industry bring to us most often, and the ones we plan each project around.
Unpredictable Weather & Climate Risk
Rainfall that arrives late or all at once, longer dry spells and sudden storms make it harder to decide when to plant, irrigate and harvest. Calendars and experience still matter, but they are no longer enough on their own. We combine your own field readings with weather data so that decisions rest on what is happening on your land.
Fragmented Farm Data
Sensor readings, weather feeds, machinery logs, labour records and accounts usually live in separate tools, so nobody sees the whole picture. Questions like "what did this plot cost us per kilo?" take days to answer. We connect these sources into one place with one set of plot, crop and season names.
Labor Shortages & Rising Input Costs
Fewer young people are entering farm work, while seed, fertiliser, fuel and feed prices keep moving. Teams are asked to do more with fewer hands and tighter margins. We automate the repetitive parts, such as logging, reporting and irrigation scheduling, and show where inputs are being wasted.
Traceability Demands from Buyers & Regulators
Supermarkets, export buyers and regulators increasingly ask where a lot was grown, what was applied to it and who handled it. Paper logs and photographs are slow to assemble when a buyer or inspector asks. We record each step from the plot to the pack house so that the answer is ready before anyone asks.
Industry at a Glance
Global Precision Agriculture Market by 2030
MarketsandMarkets Precision Agriculture Report, 2024
Industry at a Glance
Of Large Farms Adopting IoT & Data-Driven Tools
Deloitte Future of Agriculture Survey, 2024
Industry at a Glance
Higher Yields with Data-Driven Farming Practices
FAO Digital Agriculture Report, 2024
Capabilities
Our Capabilities
The kinds of systems we build for this industry, what each one does, and who it is for.
IoT Soil & Crop Monitoring Platforms
Sensor networks and dashboards that track soil moisture, nutrient levels, temperature and crop health plot by plot. They are built for farms with patchy coverage, using low-power networks such as LoRaWAN and gateways that store data until the connection returns. Farm managers get alerts on their phone when a plot drifts out of range.
Farm Management Systems
A system for planning and recording what happens on the farm: planting and harvest schedules, field tasks, machinery use, input stock and labour. Supervisors assign work from a dashboard, and field staff report back from a simple app in Thai, with photos, and without needing a signal. Owners see cost and output per plot and per season.
Produce Traceability & Supply Chain Tools
QR-code and blockchain-backed traceability that records planting, inputs, harvest, packing and shipping for every lot. A buyer or consumer can scan the code and see where the produce came from, and your team can answer an inspector in minutes. We set up the data fields with your quality team so they match the standards your buyers ask for.
AI Yield-Prediction Models
Machine learning models trained on satellite imagery, weather history and your own harvest records to estimate yield weeks before harvest. Planners use the estimate to schedule labour, transport and buyers. We tell you plainly how accurate the model is on your crops, and it improves as each season adds more of your own data.
Farmer-Buyer Marketplace Platforms
Online marketplaces where farmers list produce and buyers, processors or exporters place orders directly. Features include grade and volume listings, price history, order confirmation and payment, with PromptPay as an option for local transactions. Cooperatives can use it to sell on behalf of many members from a single account.
Irrigation & Resource Optimization Systems
Automated irrigation control and planning that waters according to soil readings and forecast rain instead of a fixed timer. It also tracks water and energy use per plot so you can see where the savings are. Staff can still override any schedule from their phone.
Tech Stack
Technologies We Use
The tools and frameworks we reach for most often, chosen because they are stable, well documented and easy to find people to maintain.
Use Cases
Use Cases
Typical projects we take on in this industry, and what each one delivers.
IoT Crop-Monitoring Platform
A field sensor network with a central dashboard showing soil moisture, temperature and humidity for each plot. Rules trigger alerts or irrigation when a reading crosses a threshold, and history charts help agronomists compare plots. Deliverables include sensor and gateway selection, installation guidance, the dashboard and a mobile app for field staff.
Produce Traceability System
A traceability platform that gives each harvest lot a QR code and a record of every stage from plot to shelf. Buyers scan to see origin and handling, while your team exports the records for audits or export paperwork. It suits fruit and vegetable growers, packing houses and cooperatives who sell to retailers or overseas buyers.
Yield-Prediction Analytics Tool
An analytics tool that combines satellite imagery, weather data and past harvest records to forecast output by plot. Planners compare forecast with actual results every season and use it to set labour, logistics and sales plans. We start with a pilot on one crop so you can judge the value before expanding.
Have a project in mind?
Tell us what you are building, and we will suggest where to start.