In future versions, our drone will be equipped with a multispectral imaging system capable of capturing light across visible (RGB) and near-infrared (NIR) wavelengths. This technology will allow for vegetation analysis and health monitoring through NDVI and similar indices.
NDVI formula:
NDVI = (NIR - RED) / (NIR + RED)
These measurements will help identify crop vigor, detect stress early, and provide color-coded maps indicating plant health.
Our current drone system is equipped with built-in environmental sensors that record real-time field conditions without requiring any camera. These readings provide crucial data for understanding crop growth environments.
All recorded sensor data is automatically transmitted to the cloud after each flight. The cloud platform stores, organizes, and visualizes the information for easy interpretation. In future versions, once imaging sensors are added, the software will also stitch images, align spectral bands, and calculate vegetation indices such as NDVI, GNDVI, and SAVI.
Our next phase will integrate artificial intelligence to analyze both environmental data and imaging inputs. The AI models will provide:
The web-based dashboard currently displays live sensor readings such as temperature, humidity, soil moisture, and light intensity. As the system evolves, it will include NDVI heatmaps, AI-generated predictions, and field alerts, helping farmers make fast, data-driven decisions.
Even with environmental sensors alone, our system is already improving agricultural efficiency: