Funding
Funding not disclosed
Founders
Product
Problem
Farmers often rely on manual field inspections and conventional equipment, leading to excessive water, fuel, and labor use while providing limited insight into crop health and soil conditions. This hampers yield optimization, increases operational costs, and contributes to environmental strain.
Solution
Gokdoganlar delivers an integrated precision‑agriculture platform that combines cloud‑connected drones, IoT field sensors, and AI‑driven analytics. The system enables remote, real‑time monitoring of moisture, temperature, and other agronomic variables, and supports targeted pesticide application to reduce chemical waste. AI models process sensor and aerial data to generate actionable insights on crop performance, resource utilization, and soil contamination, allowing farmers to adjust inputs dynamically and improve sustainability.
Target Audience
Primary customers are commercial farmers, large‑scale agribusiness operations, and agricultural cooperatives seeking data‑driven management of their fields.
Features
- Drone fleet equipped with high‑resolution cameras and GPS for rapid, aerial scouting and precise, on‑demand pesticide spraying
- Distributed IoT sensor network measuring soil moisture, temperature, and other key parameters, with wireless data upload to the cloud
- AI analytics engine that fuses sensor and drone imagery to produce real‑time crop health maps, yield forecasts, and anomaly alerts
- Automated resource‑management module that recommends optimal irrigation, fertilization, and pesticide schedules to minimize waste
- Heavy‑metal soil analysis capability that identifies contaminant levels and suggests remediation actions
- Centralized web dashboard and mobile app for remote operation, data visualization, and decision support