Our advanced agricultural intelligence platform transforms complex data into precise recommendations, optimizing field management decisions and enhancing productivity.
We gather and integrate data from multiple sources to create a comprehensive view of your fields.
Our AI models analyze patterns, identify correlations, and generate predictions specific to your fields.
Unlike other platforms, ansovia provides automatic insights in natural language that are immediately understandable and actionable.
Farms using ansovia report significant improvements in crop yields through optimized growing conditions.
Precise irrigation recommendations help conserve water while maintaining optimal soil moisture levels.
More efficient resource usage and improved timing of field operations reduce overall input costs.
Our platform integrates multiple data sources, applies advanced AI analysis, and delivers actionable insights to optimize your agricultural operations.
Ansovia collects and integrates data from multiple high-quality sources to create a comprehensive view of your fields. Our platform processes over 500TB of agricultural data daily, ensuring you have the most accurate and up-to-date information.
We utilize Sentinel-2 and Landsat-9 satellite imagery with up to 10m resolution, updated every 3-5 days, providing multispectral analysis of your fields.
Google's GenCast AI weather forecasting provides hyperlocal predictions with 90% accuracy up to 14 days in advance, helping you plan field operations with confidence.
Integration with leading soil moisture sensors and IoT devices delivers real-time data on soil conditions, temperature, and humidity at multiple depths.
Your historical yield data, planting records, and field operations are incorporated to identify patterns and optimize future decisions.
Ansovia's proprietary AI models analyze your agricultural data to identify patterns, correlations, and optimization opportunities that would be impossible to detect manually. Our models are trained on over 15 years of agricultural data from diverse regions and crop types.
Our ensemble of machine learning models includes convolutional neural networks for image analysis, recurrent neural networks for time-series prediction, and gradient-boosted decision trees for classification tasks.
ansovia identifies subtle patterns in your field data, correlating factors like soil moisture, temperature, precipitation, and crop development to optimize management decisions.
Our platform generates forecasts for key agricultural metrics, helping you anticipate changes in field conditions and plan operations accordingly.
The system improves over time as it processes more data from your fields, adapting to your specific growing conditions and management practices.
Ansovia translates complex analysis into clear, specific recommendations delivered in natural language. Unlike other platforms that provide raw data, we tell you exactly what actions to take, when to take them, and the expected impact on your operation.
Receive precise irrigation recommendations based on current soil moisture, crop water requirements, and weather forecasts to optimize water usage while maintaining yield potential.
Get targeted fertilization recommendations based on soil tests, crop development stage, and nutrient uptake patterns to maximize efficiency and minimize environmental impact.
Early warnings about potential pest and disease pressure based on weather conditions, crop susceptibility, and regional outbreak data help you implement preventive measures.
Optimize harvest timing based on crop maturity, weather forecasts, and equipment availability to maximize quality and yield while minimizing risk.
Explore your fields through multiple data layers, comparing current conditions with historical patterns to make informed decisions.
Explore different data layers to gain insights about your fields
North Field: Soil moisture at 22% - below optimal range for corn at V6 stage (30-35%). Irrigation recommended within 48 hours.
Central Field: Soil moisture at 35% - within optimal range. No irrigation needed at this time.
South Field: Soil moisture at 42% - slightly above optimal range. Monitor for potential drainage issues if heavy rain occurs.
Ansovia analyzes soil moisture levels, weather forecasts, and crop water requirements to optimize irrigation scheduling, reducing water usage while maintaining or improving yields.
"Based on current soil moisture measurements (22%) and 10-day precipitation forecast, irrigation of the north corn field is recommended within 48 hours to maintain optimal growth conditions and prevent potential yield reduction of 15-20%."
Continuous monitoring of crop development identifies potential issues before they impact yield, allowing for timely intervention and optimization of inputs.
"Satellite imagery analysis indicates early signs of nutrient deficiency in the southeast quadrant of Field 3. Soil tests confirm nitrogen levels 30% below optimal range. Apply supplemental nitrogen within 7 days to support critical growth phase."
Optimize harvest timing based on crop maturity, weather forecasts, and equipment availability to maximize quality and yield while minimizing risk.
"Based on current maturity rates and weather forecast, optimal wheat harvest window is projected for June 15-20, approximately 5 days earlier than previous season. Schedule equipment and labor accordingly to maximize quality and yield."
Reduce input costs while maintaining or improving yields through precise resource allocation based on field variability and crop needs.
"Variable rate application map generated for Field 7 indicates potential for 18% reduction in fertilizer usage while maintaining yield targets. Estimated cost savings: $45/acre based on current input prices."