Palm Robotics services

Harnessing the power of remote sensing technologies, combined with AI, machine learning, and deep learning techniques, to enable early detection and proactive management of agricultural pests and diseases. Remote sensing provides a comprehensive view of agricultural fields, capturing data on vegetation indices, temperature variations, and spectral signatures. This data serves as a basis for detecting anomalies and potential pest or disease outbreaks. AI, machine learning, and deep learning algorithms analyze the remote sensing data, identifying patterns and correlations between environmental factors and pest/disease occurrences. By learning from historical data and continuously updating models, these tools improve accuracy and enable early detection.

The integration of satellite and drone images with remote sensing techniques facilitates efficient monitoring and management of fruit trees, providing significant benefits to farmers. Satellite and drone images offer a comprehensive view of fruit tree orchards, capturing valuable data on vegetation health, growth patterns, and environmental conditions. These images allow farmers to assess the overall condition of their trees, detect early signs of stress or disease, and identify areas that require attention.