Completed
Upload documents by Scan
I think it would be a time saver to be able to scan physical documents and automatically upload them to the portal.

Peyton Freshwater 7 months ago
Completed
Upload documents by Scan
I think it would be a time saver to be able to scan physical documents and automatically upload them to the portal.

Peyton Freshwater 7 months ago
Planned
Guided walkthrough or tutorial
I think a tutorial may be beneficial to new users. You could briefly explain what there is to do and how they are helpful.

Peyton Freshwater 7 months ago
Planned
Guided walkthrough or tutorial
I think a tutorial may be beneficial to new users. You could briefly explain what there is to do and how they are helpful.

Peyton Freshwater 7 months ago
Planned
Drag-and-Drop Yield Map
What if users could drag a combine data file onto the page, instantly generating a color coded map they can download or print, no extra setup required?

Peyton Freshwater 7 months ago
Planned
Drag-and-Drop Yield Map
What if users could drag a combine data file onto the page, instantly generating a color coded map they can download or print, no extra setup required?

Peyton Freshwater 7 months ago
Completed
Upload -> My Records multiple file upload?
The upload data feature does not save to my records I would also like to be able to upload multiple files at once.

Leigh Kovach 8 months ago
Completed
Upload -> My Records multiple file upload?
The upload data feature does not save to my records I would also like to be able to upload multiple files at once.

Leigh Kovach 8 months ago
In Progress
Advanced Geospatial Field Mapping with Real-Time Data Integration
Dynamic Parcel Loading: Load real Ohio parcel boundaries from OGRIP's official ArcGIS FeatureServer (https://services2.arcgis.com/MlJ0G8iWUyC7jAmu/arcgis/rest/services/OhioStatewidePacels_full_view/FeatureServer/0) - only fetch parcels visible in current map viewport for performance Smart Data Linking: Automatically link uploaded soil test reports to parcels using: GPS coordinates from soil tests Field name matching algorithms Location-based spatial joins Interactive Map Controls: Toggle between satellite imagery and road maps Layer controls for different data visualizations (Health Score, NDVI, ET, Soil pH) Real-time data legends showing value ranges and color coding Contextual information panels explaining data sources Field Management: Optional field claiming for personalization (rename, tag, add notes) "My Fields" section in records for managing claimed fields Auto-sync between field boundaries and uploaded data Bulk operations for multiple field management Technical Requirements: Viewport-based spatial queries for performance Real-time integration with multiple geospatial APIs Intelligent spatial matching between user data and boundaries Responsive design for desktop and mobile use Background processing for heavy data operations User Experience Goals: Map-first exploration (no mandatory account setup to browse) Instant data visualization on field selection Intuitive field claiming and management Clean, uncluttered interface focusing on the map Seamless integration between mapping and data management

Roan Kovach 8 months ago
In Progress
Advanced Geospatial Field Mapping with Real-Time Data Integration
Dynamic Parcel Loading: Load real Ohio parcel boundaries from OGRIP's official ArcGIS FeatureServer (https://services2.arcgis.com/MlJ0G8iWUyC7jAmu/arcgis/rest/services/OhioStatewidePacels_full_view/FeatureServer/0) - only fetch parcels visible in current map viewport for performance Smart Data Linking: Automatically link uploaded soil test reports to parcels using: GPS coordinates from soil tests Field name matching algorithms Location-based spatial joins Interactive Map Controls: Toggle between satellite imagery and road maps Layer controls for different data visualizations (Health Score, NDVI, ET, Soil pH) Real-time data legends showing value ranges and color coding Contextual information panels explaining data sources Field Management: Optional field claiming for personalization (rename, tag, add notes) "My Fields" section in records for managing claimed fields Auto-sync between field boundaries and uploaded data Bulk operations for multiple field management Technical Requirements: Viewport-based spatial queries for performance Real-time integration with multiple geospatial APIs Intelligent spatial matching between user data and boundaries Responsive design for desktop and mobile use Background processing for heavy data operations User Experience Goals: Map-first exploration (no mandatory account setup to browse) Instant data visualization on field selection Intuitive field claiming and management Clean, uncluttered interface focusing on the map Seamless integration between mapping and data management

Roan Kovach 8 months ago
Completed
'What Changed?' Comparison Tool
Compare two soil tests to see what has improved or declined with research-based visualizations.

Roan Kovach 8 months ago
Completed
'What Changed?' Comparison Tool
Compare two soil tests to see what has improved or declined with research-based visualizations.

Roan Kovach 8 months ago
API Access for Agtech Integrations
Description: Provide a secure API with endpoints for sample upload, feature extraction, scoring, maps, and forecasting β enabling 3rd-party apps to integrate Blomso intelligence. Value: Expands ecosystem and builds long-term multi-channel growth. User Benefit: Developers can embed Blomso features directly into ERPs, farm software, or vertical apps. Users: Agtech companies, software integrators.

Peyton Freshwater 8 months ago
API Access for Agtech Integrations
Description: Provide a secure API with endpoints for sample upload, feature extraction, scoring, maps, and forecasting β enabling 3rd-party apps to integrate Blomso intelligence. Value: Expands ecosystem and builds long-term multi-channel growth. User Benefit: Developers can embed Blomso features directly into ERPs, farm software, or vertical apps. Users: Agtech companies, software integrators.

Peyton Freshwater 8 months ago
Completed
Export Custom PDF/Excel Reports
Description: Generate branded, customizable reports including maps, scores, predictive analytics, and recommendations. Option to schedule automated recurring reports. Value: Enhances professional delivery and record-keeping. User Benefit: Better communication with stakeholders, clients, and compliance. Users: Consultants, retailers.

Peyton Freshwater 8 months ago
Completed
Export Custom PDF/Excel Reports
Description: Generate branded, customizable reports including maps, scores, predictive analytics, and recommendations. Option to schedule automated recurring reports. Value: Enhances professional delivery and record-keeping. User Benefit: Better communication with stakeholders, clients, and compliance. Users: Consultants, retailers.

Peyton Freshwater 8 months ago
Planned
Team Dashboard for Agronomists & Coβops
Description: Multi-user portal with role-based access, client portfolio views, group heatmaps, sample tracking, and notes. Value: Centralizes field intelligence for scouting and recommendations. User Benefit: Creates a collaborative agronomy workflow. Users: Service providers, ag businesses.

Peyton Freshwater 8 months ago
Planned
Team Dashboard for Agronomists & Coβops
Description: Multi-user portal with role-based access, client portfolio views, group heatmaps, sample tracking, and notes. Value: Centralizes field intelligence for scouting and recommendations. User Benefit: Creates a collaborative agronomy workflow. Users: Service providers, ag businesses.

Peyton Freshwater 8 months ago
Planned
Regenerative Compliance Tracker
Description: Dashboard and reports that monitor regenerative metrics (carbon, biodiversity, runoff) aligned with standards or grant requirements. Value: Simplifies reporting and supports ecosystem certification. User Benefit: Saves time and supports market access. Users: Grant managers, sustainability teams.

Peyton Freshwater 8 months ago
Planned
Regenerative Compliance Tracker
Description: Dashboard and reports that monitor regenerative metrics (carbon, biodiversity, runoff) aligned with standards or grant requirements. Value: Simplifies reporting and supports ecosystem certification. User Benefit: Saves time and supports market access. Users: Grant managers, sustainability teams.

Peyton Freshwater 8 months ago
Fertilizer ROI Optimizer
Description: Predict crop response to fertilizer inputs with diminishing returns curves. Recommend variable rate applications to maximize ROI and minimize environmental run-off. Value: Balances profitability and sustainability. User Benefit: Fine-tuned input plans for balanced economics. Users: Farmers, co-ops.

Peyton Freshwater 8 months ago
Fertilizer ROI Optimizer
Description: Predict crop response to fertilizer inputs with diminishing returns curves. Recommend variable rate applications to maximize ROI and minimize environmental run-off. Value: Balances profitability and sustainability. User Benefit: Fine-tuned input plans for balanced economics. Users: Farmers, co-ops.

Peyton Freshwater 8 months ago
Cover Crop Planning & Rotation Tool
Description: AI suggests optimal cover crop species and rotation schedules based on soil health, climate, and cropping goals. Simulates long-term soil and revenue benefits. Value: Supports regenerative transitions and improves soil resilience. User Benefit: Data-driven path toward improved soil health and reduced input reliance. Users: Regenerative farmers, agronomists, conservation programs.

Peyton Freshwater 8 months ago
Cover Crop Planning & Rotation Tool
Description: AI suggests optimal cover crop species and rotation schedules based on soil health, climate, and cropping goals. Simulates long-term soil and revenue benefits. Value: Supports regenerative transitions and improves soil resilience. User Benefit: Data-driven path toward improved soil health and reduced input reliance. Users: Regenerative farmers, agronomists, conservation programs.

Peyton Freshwater 8 months ago
Irrigation Scheduling
Description: Apply reinforcement learning models that adjust irrigation timing/volume based on crop stage, soil moisture, and weather scenarios. Value: Optimizes water use, increasesWUE, and reduces cost. User Benefit: Smart irrigation plans for better yield per water unit. Users: Irrigation managers, water-sensitive operations.

Peyton Freshwater 8 months ago
Irrigation Scheduling
Description: Apply reinforcement learning models that adjust irrigation timing/volume based on crop stage, soil moisture, and weather scenarios. Value: Optimizes water use, increasesWUE, and reduces cost. User Benefit: Smart irrigation plans for better yield per water unit. Users: Irrigation managers, water-sensitive operations.

Peyton Freshwater 8 months ago
Yield Forecasting
Description: Use historical yield, weather, and soil data to forecast upcoming season yields. Update predictions through the season based on IoT/satellite/weather inputs. Value: Aids financial planning, storage needs, and market decisions. User Benefit: Proactive harvest and logistics planning. Users: Large-scale farmers, grain marketers.

Roan Kovach 8 months ago
Yield Forecasting
Description: Use historical yield, weather, and soil data to forecast upcoming season yields. Update predictions through the season based on IoT/satellite/weather inputs. Value: Aids financial planning, storage needs, and market decisions. User Benefit: Proactive harvest and logistics planning. Users: Large-scale farmers, grain marketers.

Roan Kovach 8 months ago
Rejected
Request NIR or Microbiome-Based Lab Testing
Description: Allow portal users to request lab services directly (either NIR scans or microbiome sequencing). Results seamlessly integrate into the portal for richer insights. Value: Enrich AI models with soil biology and chemistry. User Benefit: One-stop soil intelligence platform with seamless data acquisition. Users: Farmers, agronomists, researchers.

Roan Kovach 8 months ago
Rejected
Request NIR or Microbiome-Based Lab Testing
Description: Allow portal users to request lab services directly (either NIR scans or microbiome sequencing). Results seamlessly integrate into the portal for richer insights. Value: Enrich AI models with soil biology and chemistry. User Benefit: One-stop soil intelligence platform with seamless data acquisition. Users: Farmers, agronomists, researchers.

Roan Kovach 8 months ago
Completed
Blomso Portal (Interactive Demo)
Upload your soil data. Get real insights. No install. No guesswork. Weβre launching the Blomso Portal a freemium digital platform where users can upload CSV or PDF soil data to generate nutrient heatmaps, access soil health scores, and get real AI-powered agronomic recommendations. π MVP Demo (Free Tier): Upload CSV/PDF soil test reports (lab or self-collected) Auto-extract key features (NPK, pH, CEC, texture, etc.) Interactive field map builder with nutrient heatmap layers Basic soil health score based on AI + public models Tilly AI chat (simple insights + guided next steps)

Roan Kovach 8 months ago
Completed
Blomso Portal (Interactive Demo)
Upload your soil data. Get real insights. No install. No guesswork. Weβre launching the Blomso Portal a freemium digital platform where users can upload CSV or PDF soil data to generate nutrient heatmaps, access soil health scores, and get real AI-powered agronomic recommendations. π MVP Demo (Free Tier): Upload CSV/PDF soil test reports (lab or self-collected) Auto-extract key features (NPK, pH, CEC, texture, etc.) Interactive field map builder with nutrient heatmap layers Basic soil health score based on AI + public models Tilly AI chat (simple insights + guided next steps)

Roan Kovach 8 months ago
Completed
Blomso Visualization System v1
Building spatial maps with nutrient overlays and predicted yield zones in the dashboard via Blomso portal.

Roan Kovach 8 months ago
Completed
Blomso Visualization System v1
Building spatial maps with nutrient overlays and predicted yield zones in the dashboard via Blomso portal.

Roan Kovach 8 months ago
Soil Health Scoring System Prototype
Description: ML models aggregate spectral, lab, and microbiome data to calculate multi-dimensional soil health scores (e.g., soil organic matter, carbon sequestration, microbial diversity). Value: Provides science-backed metrics for sustainability, carbon markets, and regenerative benchmarks. User Benefit: Insights that support climate programs, compliance, and ecosystem health. Users: Co-ops, regenerative farmers, ESG reporting teams.

Roan Kovach 8 months ago
Soil Health Scoring System Prototype
Description: ML models aggregate spectral, lab, and microbiome data to calculate multi-dimensional soil health scores (e.g., soil organic matter, carbon sequestration, microbial diversity). Value: Provides science-backed metrics for sustainability, carbon markets, and regenerative benchmarks. User Benefit: Insights that support climate programs, compliance, and ecosystem health. Users: Co-ops, regenerative farmers, ESG reporting teams.

Roan Kovach 8 months ago
Completed
Chat with Tilly β AI Assistant (MVP)
Create a basic chatbot interface to answer common soil questions based on userβs farm data.

Roan Kovach 8 months ago
Completed
Chat with Tilly β AI Assistant (MVP)
Create a basic chatbot interface to answer common soil questions based on userβs farm data.

Roan Kovach 8 months ago