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You could give fertilizer recommendations but also be transparent on how you made them.

In Review

Transparent Fertilizer Recs

Peyton Freshwater

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.

Fertilizer ROI Optimizer

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.

Cover Crop Planning & Rotation Tool

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.

Yield Forecasting

Roan Kovach

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.

Soil Health Scoring System Prototype

Predict functional traits (e.g. nitrogen fixation, pathogen suppression) from microbial signatures.

Microbiome Function Classifier

Create predictive models for soil carbon levels and sequestration potential from NIR + metadata.

Soil Carbon & Sequestration Model

Description: Provide a secure API with endpoints for sample upload, feature extraction, scoring, maps, and forecasting — 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.

API Access for Agtech Integrations

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.

Irrigation Scheduling

Use historic spectral signatures + environmental data to recommend optimal cover crops.

AI-Powered Cover Crop Recommendation Tool

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.

Planned

Regenerative Compliance Tracker

Release a standardized open soil dataset for regional benchmarking.

Regional Public Soil Benchmark Dataset

I think a tutorial may be beneficial to new users. You could briefly explain what there is to do and how they are helpful.

Guided walkthrough or tutorial

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?

Drag-and-Drop Yield Map

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.

Team Dashboard for Agronomists & Co‑ops

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

Advanced Geospatial Field Mapping with Real-Time Data Integration

<h3 style="text-align: start">Compare two soil tests to see what has improved or declined with research-based visualizations.</h3>

Completed

'What Changed?' Comparison Tool

<ul><li>The upload data feature does not save to my records</li><li>I would also like to be able to upload multiple files at once.</li></ul>

Upload -> My Records multiple file upload?

Leigh Kovach

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.

Export Custom PDF/Excel Reports

Upload your soil data. Get real insights. No install. No guesswork.We’re 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.🔍 MVP Demo (Free Tier):<ul><li>Upload CSV/PDF soil test reports (lab or self-collected)</li><li>Auto-extract key features (NPK, pH, CEC, texture, etc.)</li><li>Interactive field map builder with nutrient heatmap layers</li><li>Basic soil health score based on AI + public models</li><li>Tilly AI chat (simple insights + guided next steps)</li></ul>

Blomso Portal (Interactive Demo)

Building spatial maps with nutrient overlays and predicted yield zones in the dashboard via Blomso portal.

Blomso Visualization System v1

Create a basic chatbot interface to answer common soil questions based on user’s farm data.

Chat with Tilly – AI Assistant (MVP)

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