SeedSense is an innovative platform designed to revolutionize agricultural trial management by combining advanced technology with user-focused solutions. Tailored for agricultural organizations, researchers, and farmers, SeedSense streamlines the complex processes involved in conducting crop trials, collecting data, and generating actionable insights.
Hours delivered back to the business
SOX compliance in Settlement process automation
Success rate of bot case completion
For functional release of OBT, RTS and OGS
Introduction
Agricultural trials are a cornerstone of innovation in farming, helping organizations test and evaluate new crop varieties, techniques, and technologies. However, traditional trial processes often face challenges, including manual data collection, limited connectivity in remote areas, and inefficiencies in report generation and analysis. SeedSense was developed as a comprehensive solution to address these challenges, empowering agricultural organizations with a smarter, more efficient way to manage trials.
The Problem
Agricultural trial management involves numerous complexities, including:
- Manual Processes: Reliance on paper forms and spreadsheets led to data entry errors and inefficiencies.
- Connectivity Challenges: Trial sites in remote areas often lacked reliable internet access, delaying data synchronization.
- Fragmented Workflows: Disparate systems made it difficult to manage tasks, evaluations, and reports in one platform.
- Data Overload: Organizations struggled to derive actionable insights from large volumes of trial data.
These challenges resulted in delays, higher costs, and missed opportunities to optimize crop performance and resource allocation.
The Results
- Increased Efficiency: Reduced manual effort and time spent on data entry and processing.
- Enhanced Collaboration: Synchronized data across teams improved coordination and decision-making.
- Reliable Operations: Offline-first functionality ensured uninterrupted trial activities, even in remote areas.
- Better Insights: Centralized data and customized reporting provided actionable recommendations for crop optimization.
