Cybertiks

Cybertiks is a satellite-based agricultural intelligence platform that leverages Sentinel-2 imagery and artificial intelligence to monitor farmland at scale. Its core function is to transform raw satellite data into actionable soil and crop insights, enabling farmers, agronomists, and land managers to make precise, data-driven decisions without physical field visits. The system works by allowing users to register multiple farms using exact GPS coordinates, after which it automatically fetches high-resolution satellite images (10-meter spatial resolution) from the European Space Agency’s Sentinel-2 constellation. These images are processed through a machine learning model that analyzes soil properties across more than 24 distinct metrics, including macronutrients (nitrogen, phosphorus, potassium), micronutrients (zinc, iron, copper), organic matter content, soil texture (sand, silt, clay fractions), pH level, cation exchange capacity, and bulk density. The AI also detects crop health indicators such as chlorophyll concentration and vegetation indices, helping identify stress from drought, pests, or nutrient deficiency early. A key feature is the time-series analysis capability: the platform stores historical satellite passes and allows users to select specific dates or date ranges, filter out cloud cover automatically, and compare soil conditions over weeks, months, or growing seasons. This temporal monitoring is critical for tracking the effect of fertilization, irrigation, or tillage practices. The dashboard presents results in visual maps (e.g., heatmaps of pH variability across a field) and numeric tables, with the ability to export data for further analysis in external tools. For farm management, users can split large fields into management zones, set alerts for thr