AI-Powered Harvest Planning Optimizaiton Using Satellite Remote Sensing

NAX provides a digital harvest planning solution based on satellite remote sensing and artificial intelligence models. The platform integrates optical and radar satellite imagery to monitor crop development and physiological indicators related to maturation and water content.

Through automated analysis of time-series satellite data, the system identifies spatial variability in crop maturity and estimates the optimal harvest window for each field or parcel. These insights are delivered through maps, indicators, and alerts that support harvest prioritization and operational logistics.

The solution works across multiple crops and production systems and can operate even in cloudy conditions thanks to the integration of radar sensors. By replacing or complementing traditional field sampling and laboratory analysis, the system enables large-scale monitoring with high temporal frequency.

Key benefits include:

• Determination of optimal harvest timing

• Reduction of field sampling and laboratory costs

• Improved harvest logistics and operational planning

• Increased yield quality and industrial recovery

• Scalable monitoring across thousands of hectares

The solution supports the digital transformation of agricultural operations by providing objective, data-driven insights that improve decision-making throughout the harvest planning process.

This approach aligns with modern Agriculture 5.0 strategies by combining satellite Earth observation with AI to increase efficiency, sustainability, and productivity in the agrifood sector.

The harvest planning capability is based on advanced crop monitoring models that analyze satellite indicators such as canopy water content and crop dehydration dynamics to determine maturity status and prioritize harvesting operations.