Agriculture & AgriTech.

Precision farming platforms give farmers the information they need to apply inputs, seeds, fertiliser, water, pesticides, at the right rate, in the right place, and at the right time, rather than applying uniform rates across variable fields. We build precision farming platforms that integrate satellite and drone imagery for field mapping and crop health monitoring, soil sampling and analysis data, weather station feeds, and variable rate prescription generation for planting and application equipment, with the mobile apps that allow farmers and farm managers to access and act on this information in the field without requiring technical expertise to interpret it.

Agricultural supply chain traceability tracks the journey of a food or fibre product from the farm where it was produced through processing, storage, and distribution to the point of sale, creating the record that food safety regulators require for recall management, that retailers need for supply chain transparency programmes, and that consumers increasingly expect when they scan a product QR code and want to know where their food came from. We build traceability platforms that record farm-level production data, handle lot splitting and commingling at processing facilities, track custody transfers through the supply chain, and provide the consumer-facing interfaces and retailer reporting that make traceability commercially valuable rather than just a compliance obligation.

IoT sensor networks in agricultural settings monitor soil moisture, soil temperature, ambient temperature and humidity, rainfall, leaf wetness, and light intensity at the field level, providing the micro-climate data that precision irrigation systems, disease risk models, and crop growth models require. We design IoT sensor deployments for agricultural environments that account for the specific constraints of field deployment: solar power for off-grid installations, low-power wide-area network connectivity (LoRaWAN, NB-IoT) for areas without cellular coverage, weather-resistant hardware specifications, and the data ingestion and quality management backend that makes sensor data reliably available to the downstream applications that depend on it.

Crop analytics transforms the data collected from fields, sensors, market sources, and supply chain systems into the insights that help farmers, agribusinesses, and commodity traders make better decisions about what to grow, when to sell, how to manage crop risk, and where operational improvements will have the greatest impact on yield and profitability. We build crop analytics platforms that integrate satellite imagery analysis (NDVI, crop stress detection, yield estimation), field sensor data, historical yield records, input cost data, and market price feeds into dashboards and forecasting tools that are useful to the full range of users, from a smallholder farmer reviewing their field on a smartphone to an agribusiness manager overseeing a portfolio of contract growing operations.