Alteia - Field Trial Analysis - Plant Phenotyping Solution
Alteia provides a robust plant phenotyping solution known as Field Trial Analysis, which supports digital transformation in agricultural research and development. This platform leverages visual data from drones, satellites, and cameras to boost the efficiency of crop assessment procedures while minimizing the potential for human error. It includes features like automated data pipelines that accommodate diverse sensors and vectors, and the ability to handle large amounts of data efficiently without increasing manpower requirements. The integrated season planner automates data processing steps such as analysis sequence, ensuring standardized data collection and processing across different sites. Additionally, advanced AI tools are used to automate plant detection, leading to statistical analysis of crop health and productivity. The application also supports the generation of custom vegetation indices and computation of key crop statistics, enhancing the understanding of crop performance and aiding in the validation of field trials. By providing real-time insights and facilitating seamless integration with existing workflows, Alteia Field Trial Analysis enhances decision-making processes and operational efficiency in the agriculture industry.
Optimize operations, enhance decision-making, and automate data processing and monitoring for improved efficiency and risk management. With flexible architecture and real-time insights, we enable businesses to integrate AI seamlessly, driving productivity and cost savings.
Share dala across your organization
Provide your team with immediate insight into plot statuses. The application enables agronomists and data scientists to compare site and plot performance under various conditions, encouraging collaborative enhancements.
Save analysis lime and scale up
The application automates key steps in the trait characterization workflow —from plot detection to processing drone data and generating reports on various indexes. This allows you to analyze more plots with fewer
Reduce R&D costs and cycle times
Leverage the application to reduce analysis costs, defiver real-time data for improved team productivity, and streamline on-site operations with a visual progress timeline. This minimizes the need for ground truthing, giving agronomists more time for data analysis.
Reduce plant assessment variability
Ensure consistency across R&D sites by standardizing methods. Regularly compare and refine methods for better outcomes. Simplify the workflow from image acquisition to result interpretation with user-friendly apps, maintaining uniformity across all trials and research programs.
Alteia Field Trial Analysis simplifies digital phenotyping using visual data from drones, satellites, and cameras. It enhances crop assessments, automates data processing, and improves R&D efficiency by 30%. The platform supports scalable, automated data pipelines for diverse sensors, vectors, and crops, delivering valuable phenotypic insights and reports.
Automated and end-to-end data flow
Automate your regular data collection and analysis with the integrated season planner module. This feature lets you automate data processing by defining the sequence of analyses, standardize processes across sites, and track task progress. The benefits include increased efficiency by reducing manual handling and errors, scalability to handle large data volumes without extra staff, and consistent data quality through predefined rules and algorithms.
Leverage embedded editing tools to create digital twins of your field trials
Create plot boundaries to measure, monitor, and evaluate traits and trial responses at the microplot level. Each microplot gets a custom ID for easy data analysis. The app provides tools to edit microplots (modify, delete, etc.), and you can also import microplot vector files created elsewhere.
Leverage embedded editing tools to create digital twins of your field trials
Support decisions for field trial validation based on plant density/stand counts
Plant density is crucial for understanding crop growth, guiding decisions, shaping strategies, and promoting sustainable farming, making it essential for field trial analysis. It indicates crop health and productivity and helps assess how environmental factors like weather and soil affect plant growth. While usually done manually, the Field Trial Analysis app uses AI to automate plant detection across varieties and aggregates data for statistical comparisons between plots and fields.
Automatize and standardize crop trait measurement process
This feature generates vegetation indexes and computes statistics like flowering, plant height, plant count, and stay-green index at the microplot level. You can also create custom scouting maps and traits using specific formulas. Automating crop trait measurement reduces human error, ensures consistent and accurate data, and captures a broader range of traits, providing a deeper understanding of crop performance.
Evaluate quickly and consistently plant response to crop protection products
By monitoring crop growth and health over time, researchers can track changes in vegetation indices and other key indicators. Analyzing this data as a time series helps observe trends in crop behavior before and after applying protection products. This analysis shows the effectiveness of these products and their impact on crop health. It also helps identify the best application timings and dosages for more efficient and sustainable farming.
Record anomalies in your field experiment
Access data anytime, anywhere with the mobile app. Enable your agronomists to collaborate using annotation tools, create tasks, and assign them to teams. Use the app to simplify communication with mobile 2D/3D maps and to input new data or validate fieldwork.
A powerful and scalable plant phenotyping solution to support your digital transformation, reduce seed R&D cycles, and adapt to the challenges of climate change.