SeedSense by Onda Solutions

Current Features

SeedSense currently offers the following features:

• Integrated GPS and mapping for trials
  This feature allows you to easily visualize the precise locations of all your trials on a map. It also helps you share directions with team members or collaborators, ensuring everyone knows exactly where each trial is located.

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• Thorough grading and evaluation options
  SeedSense provides versatile grading and evaluation options. You can write detailed evaluations in open text format or build custom templates tailored to specific crops. This flexibility ensures that you can accurately document and assess the performance of each variety.

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• Dynamic data management for locations, crops, suppliers, and varieties
  Our dynamic data management system helps you maintain comprehensive records of your organization's locations, crops, suppliers, and varieties. Easily access your team's trials and completed evaluations through intuitive and user-friendly catalogs, making data retrieval simple and efficient.

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• High quality image storage for evaluations
  Capture high-quality photos directly with the app or upload them at a later time. This feature allows you to visualize the progress and characteristics of each variety, providing a clear visual record to support your evaluations and decisions.

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• Task management for every user and trial
  Keep track of all the tasks involved in managing your trials, from planting and thinning to maturity checks and evaluations. Our task management feature ensures that every user knows their responsibilities and can stay on top of daily tasks without missing any critical steps.

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• Custom PDF trial maps and evaluation reports
  Once your trials are planted or evaluations are complete, you can create custom PDF trial maps and evaluation reports. These detailed documents allow you to share all the essential information about your trials with stakeholders, ensuring clear communication and comprehensive reporting.

Roadmap

Upcoming Features

SeedSense is excited to introduce the following upcoming features:

• A Mobile App for Offline Use
  Our upcoming mobile app will enable users to work seamlessly offline. Capture data, take photos, and perform evaluations without needing an internet connection. All your data will sync automatically once you’re back online, ensuring uninterrupted productivity.

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• Custom Crop-Specific Evaluation Traits
  Tailor your evaluations with custom, crop-specific traits. This feature allows you to define and use specific evaluation criteria relevant to each type of crop, providing more accurate and detailed assessments that meet your unique needs.

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• AI-Generated Reports for Managers, Suppliers, and Growers
  Leverage the power of AI to generate comprehensive reports tailored for managers, suppliers, and growers. These reports will include insights, performance metrics, and actionable recommendations, helping you make informed decisions and optimize operations.

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• Customizable Task Management Viewing and Sharing
  Enhance your task management with customizable viewing and sharing options. This feature will allow you to organize tasks in a way that best suits your workflow and easily share task lists and statuses with team members, ensuring everyone stays on the same page.

About

Onda Software Solutions was founded by two friends from California Polytechnic in San Luis Obispo. Using their mutual knowledge of farming and computer science, the pair focus on addressing niche problems in the agricultural industry.

From design and development to implementation and distribution, the team builds unique software applications that deliver value and cost savings to customers.

Learn more at Onda Software Solutions.

SeedSense for Seed Producers

We are currently looking for industry partners interested in helping us test the current SeedSense platform in addition to the following features for vegetable seed producers and suppliers:

Leverage Existing Features

• Integrated GPS and Mapping for Trials
  Breeders can map R&D trial locations to visualize field placement and plan regional testing phases.

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• Thorough Grading and Evaluation Options
  Allow breeders to use detailed grading templates to assess traits like yield, disease resistance, and environmental tolerance.

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• Dynamic Data Management
  Maintain organized records for newly developed seed varieties, R&D phases, testing locations, and breeder-specific notes.

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• High-Quality Image Storage
  Upload high-quality photos to track visual characteristics (e.g., growth stages, disease symptoms) during R&D and testing phases.

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• Task Management for Trials
  Manage tasks like planting, trait observations, and evaluations to ensure no critical steps are missed during R&D or field trials.

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• Custom PDF Reports
  Generate trial reports with critical findings, including visual maps, images, and data, to share progress with internal teams or external stakeholders.

New Features to Build for Breeders/Suppliers

• Multi-Phase Trial Management
  Track a variety’s progression through multiple phases: R&D, regional testing, and commercial fit with clear milestones.

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• Trait Performance Analytics
  Analyze and compare variety performance across key traits like yield, drought tolerance, and pest resistance with customizable dashboards.

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• Regional and Seasonal Insights
  Visualize and compare data across different climates, soil types, and seasons to identify best-performing regions.

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• Variety Comparison Tool
  Compare multiple varieties side by side based on recorded traits, photos, and field performance data.

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• Supplier/Breeder Portals
  Create dedicated portals for breeders to manage R&D data and share progress with distributor teams.

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• Historical Performance Database
  Store historical R&D and trial data to help breeders track performance trends and refine breeding strategies over time.

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• Integration with Agronomic Tools
  Integrate with external tools or sensors (e.g., weather, soil data) to provide additional environmental context for trials.

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• Collaboration Tools
  Enable internal teams or external partners to access and comment on trial results, fostering collaborative decision-making.

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• Predictive Modeling for Variety Success
  Use machine learning to analyze early R&D data and predict which varieties are likely to succeed commercially.

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• Automated Reports for R&D Results
  Provide breeders with automated R&D trial summaries, including variety performance highlights and actionable insights.

Contact

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